Hi, We're Arity!

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others.

We are seeking a highly skilled and experienced Senior Data Engineer with extensive professional experience in full-stack data engineering, including hands-on expertise in the development of large-scale data platforms and machine learning pipelines. In this role, you’ll design, develop, and optimize scalable data and ML workflows to support our growing telematics business needs. As a key member of the Data Analytics Engineering Team, you’ll enable data-driven decision-making by building robust pipelines, efficient architectures, and impactful ML solutions.

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Key Responsibilities:

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• Design, build, and maintain end-to-end data and machine learning pipelines to support analytics, reporting, and AI-driven applications.
• Develop and optimize scalable ETL/ELT processes to extract, transform, and load data from diverse sources into a cloud-based platform.
• Architect and manage data storage solutions within the data platform (e.g., data lakes, warehouses, and marts) to enable advanced analytics and machine learning.
• Implement and manage ML pipelines, building feature pipelines and deploying models.
• Collaborate with data scientists, analysts, and software engineering to integrate data products into business workflows.
• Ensure data quality, consistency, and governance by implementing robust monitoring, validation, and alerting mechanisms.
• Lead the adoption of new cloud-native technologies to streamline and enhance data and ML operations.
• Mentor junior data engineers, fostering a culture of innovation and knowledge-sharing within the team.

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Qualifications:

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• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related field. A Master’s degree is preferred.

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• 5+ years of professional experience in data engineering, including end-to-end pipeline development and cloud integration.
• Proven experience with machine learning workflows, including data preparation, feature engineering, and model deployment.
• Proficiency in programming languages such as Python, Scala, or Java, with an emphasis on ML libraries like TensorFlow, PyTorch, or Scikit-learn.
• Strong knowledge of data processing frameworks (e.g., Apache Spark, Flink, Beam) and real-time data streaming (e.g., Kafka, Kinesis).
• Hands-on expertise with AWS or GCP ecosystems, including tools like:
  • AWS: SageMaker, Redshift, Glue, Athena, EMR
  • GCP: BigQuery, Vertex AI, Dataflow, Dataproc
• Solid understanding of relational and non-relational database systems (SQL, NoSQL).
• Experience with data orchestration tools (e.g., Airflow, Prefect, dbt) and CI/CD practices.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.

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Preferred Skills:

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• Experience with geospatial data like trajectories.
• Experience deploying machine learning models into production environments with monitoring and optimization strategies.
• Familiarity with cloud security and compliance best practices for data and ML workflows.
• Proficiency in BI tools (e.g., Tableau, Looker, Power BI) and data visualization.
• Strong understanding of MLOps practices and tools for automated ML lifecycle management.

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Relevant certifications in cloud platforms (e.g., AWS Data Engineer, Machine Learning Engineer; Google Cloud Professional ML Engineer, Professional Data Engineer) are a plus.

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Skills

Business Data Analytics, Computer Science, Data Analytics, Data Science, Machine Learning, Predictive Modeling, Python (Programming Language)

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Compensation

Compensation offered for this role is $85,600.00 – 152,650.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

​

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

​

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others.

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Architect – Real-Time Traffic Engineering Team

The Engineering Team

Our Real-Time Traffic Engineering Team is at the forefront of innovation in high-throughput, low-latency computing on cloud platforms. Our engineers are passionate about building solutions that enable real-time decision-making at scale, creating state-of-the-art, highly available, and low-downtime systems. They tackle complex challenges across telematics, enterprise engineering, and high-scale platform development, pushing the boundaries of cloud-native architecture and distributed systems. Within an Agile, collaborative environment, our engineers own projects from conception through deployment, operating with a focus on trust, transparency, and reliability. If designing and architecting cutting-edge real-time traffic solutions excites you, we’d love to meet you.

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Job Profile Summary

The Architect on our Real-Time Traffic Engineering Team is a technical leader responsible for designing and implementing scalable architecture solutions for real-time, high-performance systems. Working alongside a team of skilled architects, you’ll address high-throughput, low-latency computing challenges, enabling resilient, high-performance systems. In this role, you’ll collaborate with cross-functional teams, ensuring alignment with business objectives and delivering strategic improvements to support real-time scalability and uptime demands.

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The Role

As a Technical Architect in our Real-Time Traffic Engineering Team, you thrive on transforming ideas into real, scalable solutions—be it through design, code, or architectural frameworks. You will work in close collaboration with other architects, bringing deep expertise in high-throughput computing and cloud-native systems, readily addressing the unique challenges of high-scale, low-latency infrastructure. Your ability to navigate tool selection, trade-offs, and implementation will be key to our success.

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Key Responsibilities

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• Collaborate on Complex Systems Architecture: Work with fellow architects to lead analysis, design, and development of high-throughput, low-latency solutions, crafting architectures across multiple logical and physical dimensions. Present comprehensive documentation and support team implementation efforts.
• Enhance Existing Architectures: Continuously identify and optimize architectural components, ensuring scalability, resilience, and performance within real-time computing systems.
• Develop and Leverage Patterns: Contribute to creating and promoting reusable architectural patterns, practices, and reference architectures that align with our organization’s blueprint.
• Consult and Advise: Act as a strategic consultant on real-time traffic engineering architecture, providing insights on how business drivers and emerging technologies can align with enterprise objectives.
• Champion Effective Designs: Promote best practices in architectural design, enhancing efficiency and reliability across our solutions.
• Stakeholder Engagement: Partner with director and AVP-level stakeholders in technical and business areas to deliver high-impact solutions aligned with strategic goals.
• Drive Standardization and Innovation: Influence prioritization for enterprise benefits and risk reduction, encouraging adoption of best practices in design and architecture.
• Knowledge Sharing and Mentorship: Share findings and architectural insights with the team and stakeholders, helping define and guide best practices.
• Collaborative Development: Work closely with technical and non-technical team members to deliver highly available, scalable solutions while ensuring efficiency and low latency.

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Required Technologies and Skills

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• Database Technologies: Extensive experience with SQL and NoSQL databases.
• Programming Languages: Proficiency in Java/JVM, Golang, Python, and Bash scripting.
• Version Control: Experience with GitLab and GitHub.
• Containerization and Infrastructure: Expertise with Docker for containerized applications.
• Infrastructure as Code: Experience with Terraform, CloudWatch, and cloud infrastructure automation.
• Cloud Platforms: Proficiency in Amazon Web Services (AWS) or Google Cloud Platform (GCP), including serverless offerings such as Lambda, EKS, EventBridge, and SQS, or equivalent services from other cloud providers.
• High-Throughput, Low-Latency Computing: Proven ability to design and implement solutions optimized for real-time, high-performance, and low-latency requirements.
• Highly Available Systems: Expertise in designing systems with low downtime and built-in fault tolerance.

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Skills

Amazon Web Services (AWS), Big Data, Building Architecture, Cloud Infrastructure, Data Analysis, Scalable Architectures, Software Project Planning, Strategic Management

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Compensation

Compensation offered for this role is $134,400.00 – 217,350.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

​

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

​

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

The Team

At Arity, our Analytics team is at the core of helping us transform mobility. They not only know how to analyze and find meaning within the data but are passionate about how it affects the end-users of our products. They work with a treasure trove of massive data sets every day—after all, Arity is constantly collecting and deciphering billions of miles of driving data. And as our data continues to grow by the second, our Analytics teammates grow right alongside it. We give them the opportunity to model and visualize that data to create innovative products, working side-by-side with our diverse product teams. The insights uncovered by the Analytics team help catalyze groundbreaking solutions for our customers and are a driving force in making transportation smarter, safer, and more useful for everyone. Personally, we think that’s pretty game-changing stuff.

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Job Summary:

We are seeking a skilled Geospatial Analytics Data Platform Architect for the Analytics Data Platform team. An ideal candidate would have an extensive experience in designing geospatial data platforms for large-scale analytics and machine learning on the cloud. You will leverage geospatial technology to drive impactful data solutions. In this role, you will lead cross-functional teams, ensure robust data governance, and apply your geospatial expertise to create cutting-edge data architecture and data products on the Google Cloud Platform.

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Key Responsibilities

Platform Design & Architecture:

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• Design, develop, and implement scalable geospatial data architectures for analytics and machine learning using GCP services.
• Evaluate and recommend tools and technologies for data ingestion, storage, processing, and visualization.

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Data Governance:

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• Establish and enforce data governance frameworks to ensure data integrity, quality, and security across the geospatial data landscape.
• Collaborate with Data Governance and data management teams to define and implement data policies, standards, and practices.
• Knowledge of privacy laws such as CCPA and GDPR would be nice to have. 

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Cross-Functional Leadership:

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• Lead and mentor cross-functional teams, including data scientists, ML and data engineers, and data/BI analysts, ensuring alignment with project goals and timelines.
• Facilitate communication between technical and non-technical stakeholders to drive understanding and support for initiatives.

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Geospatial Expertise:

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• Provide subject matter expertise in geospatial data, technologies, and methodologies, staying current with industry trends and best practices.
• Develop and conduct training sessions and workshops to enhance the team's geospatial capabilities.

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Project Management:

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• Oversee project lifecycles from conception through deployment, ensuring successful delivery of solutions.
• Manage timelines, budgets, and resources effectively to meet project objectives.

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Required Qualifications

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• Bachelor’s degree in Geospatial Science, Computer Science, Geography, or a related field. A master’s degree is preferred.
• 5+ years of experience in geospatial data architecture or related roles, with a strong focus on GCP or AWS platforms.
• Proven track record in data governance and modern data management platforms.
• Expertise in geospatial data processing tools (e.g., ArcGIS, QGIS, Carto Sedona).
• Proficiency in cloud platforms and related services (BigQuery, Redshift, Dataplex, DataZone).
• Familiarity with database technologies (SQL, NoSQL), diverse data formats (Avro, Iceberg, Parquet, Delta Lake), spatial data formats (raster, vector, GeoJSON, GeoParquet), data integration tools, ETL and ELT workflows, data modeling, data lineage and cataloging tools, batch and streaming pipeline design.

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Skills

Apache Spark, Apache Spark, Architectural Design, AWS Glue, AWS Redshift, Cloud Computing, Cross-Functional Team Leadership, Data Governance, Data Lake, Data Management, Data Modeling, Data Organization, Design, Extract Transform Load (ETL), GCP Dataflow, General Data Protection Regulation, Geospatial Data, Geospatial Data Analysis, Geospatial Mapping, Geospatial Technologies, Geospatial Tools, Google Cloud Data Catalog, NoSQL, Project Management, Reference Architectures {+ 3 more}

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Compensation

Compensation offered for this role is $121,600.00 – 206,650.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

​

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

​

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others.

​

The Team

The advertising data science team empowers the intelligence and efficiency of Arity Marketing Platform, which enables marketers to find their best customers wherever they are in their journey. Our goal is to empower marketers to reach prospects and display relevant messaging based on how, when, and where they drive. The team is responsible for optimizing the in-house marketing platform for advertisers and publishers, as well as our revenue, throughout all funnels. To achieve this, not only do we need to look for inefficiencies on the platform including individual campaigns, but also how to grow and scale the platform to gain more revenue. This means we need to find a cost-effective way to rapidly deploy, test and iterate algorithms on our platform. This team is also fully integrated within a cross-functional scrum structure including product owners, software engineers, ad operation team, and other talents to collaborate with to achieve the same business goals

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As an advertising data scientist at Arity, you will lead the development of machine learning algorithms on both 1st party driving data like GPS and driving events, as well as, ad platform data including impressions, clicks, conversions. You are expected to make key technical decisions about how to implement machine learning models including both traditional and deep learning models on large volumes of data. You have chances to influence the business for the entire cycle of the optimization solution including data collection, processing, modeling, A/B testing on the ad platform. You will personally prototype these solutions and work with product owners, data/software engineers, and other partners for productionalization and KPI measurement. Some example projects include:

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• Click-through rate (CTR)/conversion prediction
• Win rate model
• Dynamic bidding strategy
• Pacing control and budget management
• Frequency capping model
• Platform simulation

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These models help us understand how effective our ad platform is and provide opportunities for improvement and growth. You will also help shape and grow our culture we have worked hard to establish – promoting recognition of good work, continuous learning, winning together, and having fun along the way.

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Responsibilities

Your day-to-day looks like:

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• Be a thought partner in the area of experimentation for Ads Platform, and autonomously identify and pursue research with significant business impact on KPIs
• Analyzing large amount of data sets using distributed computing frameworks
• Building advanced algorithm and machine learning models using a variety of libraries/tools and cutting-edge techniques
• Identifying opportunities for new machine learning solutions, exploring new data sources for enrichment, collecting appropriate labels for learning, establishing actionable metrics, and creating reusable model validations and risk mitigation
• Communicating results to key stakeholders in a clear and compelling manner
• Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance
• Working with product and engineering partners for model handoff and productionalization

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Qualifications

Successful candidates typically have:

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• Master’s or PhD degree in a machine learning/AI related field such as engineering, statistics, computer science, physics, or related discipline
• 5+ years of industry experience in data science, data analytics, and machine learning in advertising domain
• Deep experience in digital advertising including systems, measurement sciences, and principled incrementality approaches and passion for incentive challenges

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• Experience with ad auctions (RTB platform) such as dynamic bidding strategy, ad ranking, and experimentation on the advertising platform
• Advanced knowledge in predictive models such as parameterized methods, ensemble algorithms, deep neural network, and reinforcement learning algorithms such as multi-armed bandit algorithms, Q-learning, deep reinforcement learning
• Demonstrated experience using Python and Spark for big data query/processing and engineering skills for productionizing the solution
• Experience with scientific computing libraries Scikit-learn, TensorFlow, PyTorch, and Spark ML-lib
• Over 5 years' experience with developing end-to-end machine learning solutions/algorithms including model development, deployment, monitoring, and life-cycle management on the advertising platform
• Ability to translate product requirement into well-defined analytical problems and produce feasible solutions
• Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to stakeholders with different levels of expertise

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Optional:

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• Experience with control theory and the application to ad platform optimization
• Experience with cloud data warehouse solutions such as BigQuery or Redshift
• Experience with deploying ML models using AI platforms such as Vertex AI and Sagemaker
• Experience with geospatial data is preferred, such as US census data, weather data, parcel data, POI, etc

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Skills

Algorithms, Big Data, Data Analytics, Data Science, Deep Learning, Digital Advertising, Machine Learning, Machine Learning Algorithms, Predictive Modeling

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<br>

Compensation

Compensation offered for this role is $121,600.00 – 206,650.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

​

<br>

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.  

​

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. 

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone.

At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.

That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.

​

As a member of the Operational Excellence team, you’ll help make sure the entire Arity team is enabled and empowered to get things done! It’s our job to ensure Arity is an industry leader both in terms of the products we offer, and by the way in which we deliver and deploy them to our customers. We are one-part business – for example, contracting with customers and suppliers, and one-part risk managers – tackling tough issues like data security and privacy. Our top candidate embraces ambiguity and change.  They can see the big picture, understand all the implications that need to be addressed, and lead the team to overcome any hurdles to achieve Arity’s goals. Sound like you?  Let’s talk!

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The Role:

The Regulatory Compliance and Privacy Senior Consultant (RC-P Senior Consultant) partners across Arity to operationalize compliance and privacy initiatives. The RC-P Senior Consultant leads various regulatory compliance programs and initiatives to ensure their effectiveness and maturation. They are a trusted partner to leadership, ensuring adherence to compliance and contractual obligations through proactive issue detection and remediation to protect Arity’s brand and reputation.

Key Responsibilities:

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• Lead and manage regulatory compliance processes across the organization, ensuring timely completion. Core processes include:
  • Data privacy compliance under US privacy laws such as CCPA, CDPA, etc.
  • Privacy by Design product reviews
  • Data Subject Access requests (DSARs)
  • Privacy Impact Assessments (PIAs)
  • Data retention and disposal standards
  • Compliance certifications
  • Privacy & compliance process automation
• Provide regular reporting and analysis, escalating risks when deadlines are at risk.
• Use a measurement-based approach to monitor results, ensuring initiatives achieve desired outcomes.
• Develop and maintain privacy program deliverables and documentation balancing value and effort.
• Serve as a subject matter expert (SME) on privacy and compliance requirements.  Provide training and consultative support as needed.
• Identify opportunities and challenges, proposing solutions and strategies for continuous improvement.
• Manage complex, high-visibility projects requiring significant cross-functional coordination, originating internally or externally.
• Act as a primary contact for inquiries from product teams, risk, and legal.

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Required Qualifications:

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• Bachelor’s degree
• 3+ years of experience in regulatory compliance, privacy, risk management, internal audit or governance roles
• Curiosity to explore the "who, what, where, how, and why” behind requests and issues
• Strong interpersonal and communication skills
• Dynamic and engaging presentation skills
• Proficiency in leveraging the value of metrics.
• Comfortable with Microsoft Office (e.g. Excel and Power Query), Confluence, JIRA, and other productivity tools
• Adaptability in a demand-based work environment
• Ability to balance attention to detail with high-level strategic thinking

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Preferred Qualifications:

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• Familiarity with U.S. privacy laws (e.g., CCPA, CPRA, CDPA) strongly preferred
• Familiarity with FCRA
• Expertise in applying U.S. privacy laws to location data and advertising technologies
• CIPP-US, CIPM, or CIPT certification
• Proficiency in data visualization tools such as Tableau, Power BI, or QuickSight
• Experience with SQL and process automation

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Skills

Compliance, Data Privacy, Data Visualization, Privacy Compliance, Privacy Laws, Regulatory Compliance, Standards Compliance

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<br>

Compensation

Compensation offered for this role is $74,240.00 – 134,060.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

​

<br>

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

​

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.