Senior Data Engineer

About Quote Velocity

Quote Velocity is a technology company that specializes in customer acquisition within the insurance market. We develop scalable products that enhance the shopping journey for consumers and drive customer growth for our clients. We connect people with people and help them meet their needs through personalized experiences that resonate with our clients and customers. Our commitment is to excellence and great work.

About the Role

We are on the lookout for a passionate Sr. Data Engineer to become an integral part of our team. As a Senior Data Engineer at QV you will be a key player in developing and managing our data infrastructure. Your role will involve a blend of technical expertise leadership and collaboration to ensure the optimization and scaling of our data systems. If you are enthusiastic about working in a high-paced environment where empathy and innovation coexist and are eager to contribute to enhancing our data engineering processes we encourage you to share your expertise and dedication with our team. Together we can continue making waves in our industry and set new standards for excellence.

Location

This is a remote position. To support collaboration across the team attendance during our core working hours (MondayFriday 9:00 a.m.12:00 p.m. ET) is mandatory with the remainder of your schedule worked before or after these hours to fulfill full-time requirements.

A Day in the Life

As a Senior Data Engineer you will have a vital role in our engineering department driving the development and optimization of our data infrastructure and strategies. Your responsibilities will include but are not limited to:

• Design build and maintain scalableETL/ELT pipelines across batch and real-time environments.
  
• Architect and manage ourOLAP data platform (Redshift and related components) and partner closely with Product Engineers onOLTP data DevOps to ensure smooth cross-system integrations and data flows.
  
• Build and optimize reliable observable and maintainable pipelines usingAWS GlueKafka/Kinesis and Python.
  
• Develop and enforce best practices forautomated testing data validation quality checks and CI/CD workflows for data systems.
  
• Collaborate closely withBIProduct Engineering and cross-functional stakeholders to gather requirements define data models and deliver actionable data products.
  
• Own and evolve data models that support analytics product usage tracking and real-time decision-making.
  
• Improve data reliability governance lineage and observability across the stack.
  
• Mentor other engineers and contribute to setting strong engineering and data platform standards.

Who You Are

As a Sr. Data Engineer your unique qualifications and characteristics are vital to our teams success. You are/possess:

• 5 years as a Data Engineer or similar role working with large-scale data systems.
  
• Strong expertise inPython for building and orchestrating data pipelines.
  
• Deep experience withAWS Redshift including performance tuning modeling and workload management.
  
• Hands-on experience withAWS GlueKafka/Kinesis and streaming data patterns.
  
• Demonstrated experience withData DevOps practices including:
  
• Managing OLAP data infrastructure (data engineering responsibility)
  
• Coordinating OLTP data integration and operational workflows with product engineering
  
• Using tooling like Terraform CloudFormation GitHub Actions CodePipeline or similar
  
• Proven experience withautomated testing frameworks and CI/CD for data.
  
• Strong collaboration skills with bothBI teams andProduct/Feature teams translating data needs into system designs.
  
• A proactive ownership-driven approach and comfort with a fast-paced growth-oriented environment.

Nice To Haves:

• Experience withClickHouse or other OLAP/analytical databases.
  
• Exposure to workflow orchestrators (Airflow etc.).
  
• Experience with Docker ECS EKS or similar container platforms.
  
• Familiarity with data observability tooling.
  
• Experience with LLMs and MCPs

If you are a seasoned Sr. Data Engineer eager to contribute your expertise and drive data engineering excellence in a dynamic setting we invite you to join our team.

Physical Requirements:

This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment speak hear bend stoop reach lift and move and carry up to 25 lbs. Finger dexterity is necessary.

Equal Opportunity Employer:

Quote Velocity is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veteran status or any other characteristic protected by law

At Quote Velocity we understand that diversity and inclusion are not just words; they are values we hold dear. We believe that diversity is the foundation of innovation and inclusion is the catalyst for growth. We are committed to building a workplace where all voices are heard all perspectives are respected and every individual is valued.

We embrace a culture where differences are celebrated and every team member is encouraged to bring their authentic selves to work. Our commitment to diversity and inclusion is not just a checkbox; its a fundamental part of who we are. We actively seek out diverse perspectives and experiences to fuel our creativity and drive our success.

Join us at Quote Velocity where diversity is the key to our innovation and inclusion is the path to our excellence. Your unique background experiences and talents will contribute to our collective success and together well continue shaping the future of customer acquisition.

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