Principal Software Engineer, Data Engineering

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a Principal Software Engineer II, Data Engineering to help design the next generation of our data platform. You’ll build high-performance data systems that power analytics and machine learning, ensuring reliability, quality, and compliance at scale. In this role, you’ll lead architecture decisions, partner across teams, and drive best practices in data modeling, governance, and observability — all in support of CMT’s mission to make roads safer by making drivers better.

Responsibilities:

• Use independent judgment and discretion to lead the design and implementation of the company’s data platform and pipelines to support large-scale workloads, with a focus on data quality, observability, security, and compliance

• Define and champion best practices for data modeling, storage, governance, and ingestion and usage

• Develop, optimize, and maintain high-performance and reliable data pipelines and systems

• Partner with product, ML, and platform teams to evolve the company’s data ecosystem — ensuring scalability, reliability, and clear data ownership across domains

• Drive architectural decisions for the next generation of data platforms and ETL pipelines, balancing performance with governance and cost efficiency

• Lead data quality and lineage initiatives, advancing CMT’s data governance maturity and self-service data culture

• Identify opportunities to simplify and automate — improving data observability, testing, and deployment speed

• Influence upstream software design to ensure data capture aligns with analytical and ML needs.

• Mentor and train junior team members, fostering a culture of technical excellence and continuous improvement

• Provide support and troubleshoot production issues within data engineering systems and during business critical emergency scenarios

• Adhere to and improve established company development and operational standards and processes

• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related field

• 9+ years of experience in software or data engineering

• 4+ years of experience with cloud platform (AWS, Google Cloud Platform, Microsoft Azure)

• 4+ years of experience with data lake and warehouse solutions (AWS Redshift, Databricks or Snowflake)

• Proficiency in SQL and at least one of the following programming languages: Python, Java, or C++, with the ability for expanding knowledge

• Proven experience architecting and scaling production data systems handling billions of records or petabyte-scale workloads

• Deep understanding of data modeling, schema design, and performance optimization

• Experience with data orchestration tools (e.g. Airflow, Dagster, Prefect) and CI/CD practices in data pipelines

• Familiarity with data governance and metadata management tools (e.g. Amundsen, DataHub)

• Demonstrated ability to drive data architecture and process improvements across multiple teams

• Strong communication skills with the ability to influence both technical and non-technical stakeholders

Nice to Haves:

• Experience in mentoring technical teams and influencing architectural direction of upstream engineering teams

• Experience leading data mesh, data governance, or metadata management initiatives

• Background in streaming data pipelines (e.g. Kafka, Flink, Spark Structured Streaming)

• Familiarity with ML data workflows and feature store design

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus

• Equity may be awarded in the form of Restricted Stock Units (RSUs)

• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave

• Unlimited Paid Time Off including vacation, sick days & public holidays

• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $183,800 to $229,800. This range is specifically for Cambridge, MA

Additional Perks:

• Feel great working to improve road safety around the world!

• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness

• Extensive wellness, education and employee assistance programs

• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.