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Principal Data Engineer

Cambridge Mobile TelematicsCambridge, Massachussets, United StatesRemote, Onsite
This job is no longer open

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.
We are seeking a highly organized, collaborative, and solution-oriented data/software engineer to support our Data Analytics and Data Science teams. in optimizing our utilization of Databricks, Redshift, Glue, and other services for building and maintaining our data platform. The Principal Data Engineer II will be responsible for leading designing and managing databases for research and development, supporting the analytical needs for product releases, and taking ownership of data and transformations.

The ideal candidate for this role will have prior experience with large-scale data pipelines, building scalable, maintainable, and secure backend code, and a strong understanding of fundamental concepts such as unit testing, automation, and continuous delivery.CMT is looking for a collaborative, customer-committed, and creative Principal Data Engineer II who wants to join us in making roads safer by making drivers better!

Responsibilities:


  • Create and lead formal project groups within the engineering team
  • Take ownership of business requirements and change requests, and transform them into business solutions that achieve company objectives
  • Design and implement platform data infrastructure with a focus on maintainability, usability, scalability, and performance
  • Collaborate with other technical leads and stakeholders to develop project plans and participate in resource planning
  • Implement and maintain ETL pipelines in Spark, SQL and Python with automated testing based on the requirements 
  • Lead code and design reviews
  • Provide required support and troubleshoot production; this role will be subject to on-call responsibilities (mainly during business hours, as well as occasional nights, weekends and holidays)
  • Offer expert recommendations on current research to drive scalable and cost-effective solutions
  • Follow and improve the company’s 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, Engineering, or Data Science.
  • 9+ years of relevant working experience 
  • Experience working as a Data Engineer or Cloud Engineer with data focus
  • Expertise in data lakehouse, data warehousing and ETLs (e.g. Delta lake, AWS Redshift, AWS Glue, Spark, AWS S3 or equivalent)
  • Expertise in writing, maintaining, and optimizing analytics SQL queries
  • Expertise in the software development process and ability to code in scripting languages for data manipulation (e.g. Python, PySpark, Pandas, NumPy)
  • Demonstrated experience with database (RDBMS, NoSql, Columnstore) schema design and data modeling
  • Hands-on AWS services, Terraform IaC, Containerization, CI/CD experience
  • System design and documentation skills, including writing and reviewing code to automate away problems within the squad’s domain
  • Understanding of Agile development methodologies (specifically SCRUM)
  • Ability and willingness to participate in the team’s on-call rotation
  • Experience working to support data analytics and data science teams

Nice to Have:


  • Experience with Databricks, Spark, Lakehouse architecture
  • Experience using Redshift, AWS Glue, EC2, Lambda, RDS (PostgreS), S3, Dynamo
  • Experience with Docker, CloudFormation, PostgreSQL, Terraform
  • Experience building scalable data processing systems for production environment
  • Ability to navigate code, request data from data sources, and code for bug fixes
  • Actively seeks feedback and resolves discrepancies with senior team members
  • Databricks or AWS Certification

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

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.”

This job is no longer open

Life at Cambridge Mobile Telematics

Cambridge Mobile Telematics (CMT) pioneered telematics for usage-based and behavior-based programs making roads and drivers safer around the world. Founded in 2010 by two MIT professors, CMT's accomplished team of expert scientists and experienced entrepreneurs developed DriveWell, an advanced mobile-sensing and big data platform delivering an end-to-end smartphone telematics solution. DriveWell provides valuable feedback to users, helping them to improve driving performance and become more aware of unsafe behaviors. DriveWell is the first telematics platform in the industry to provide both traditional vehicle-centric, usage-based-insurance (UBI) and driver-centric, behavior-based insurance (BBI) solutions. Through the DriveWell program, CMT's partners can easily measure mileage, time of day, roadways and risky driving behaviors - giving them a complete picture of every trip and allowing them to segment high-risk vs low-risk customers easily. CMT has a proven track record of changing driver behavior: an average reduction of 35% in phone distraction, 20% in hard braking, and 20% in at-risk speeding all within 30 days of using the program. With DriveWell, users become safer drivers, resulting in fewer crashes and less-costly claims. The average user sustains a 25% reduction in phone usage even after 200 days, and some CMT's insurance partners report as much as 47% reduction in total claims costs, based on studies of more than 100,000 drivers. For more information about DriveWell, please visit: www.cmtelematics.com/drivewell
Thrive Here & What We Value - Commitment to Diversity and Inclusion- Fair and competitive salary with performance bonuses- Equity in the form of RSUs- Comprehensive medical and insurance benefits- Unlimited Paid Time Off (including vacation, sick days & public holidays)- Flexible scheduling and work from home policy- Employee resource groups for various communities- Supportive environment with no discrimination based on personal attributes

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