🌟 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 (Monday–Friday, 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 scalable ETL/ELT pipelines across batch and real-time environments.
   
• Architect and manage our OLAP data platform (Redshift and related components) and partner closely with Product Engineers on OLTP data DevOps to ensure smooth cross-system integrations and data flows.
   
• Build and optimize reliable, observable, and maintainable pipelines using AWS Glue, Kafka/Kinesis, and Python.
   
• Develop and enforce best practices for automated testing, data validation, quality checks, and CI/CD workflows for data systems.
   
• Collaborate closely with BI, Product 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 team's success. You are/possess:

• 5+ years as a Data Engineer or similar role working with large-scale data systems.
   
• Strong expertise in Python for building and orchestrating data pipelines.
   
• Deep experience with AWS Redshift including performance tuning, modeling, and workload management.
   
• Hands-on experience with AWS Glue, Kafka/Kinesis, and streaming data patterns.
   
• Demonstrated experience with Data 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 with automated testing frameworks and CI/CD for data.
   
• Strong collaboration skills with both BI teams and Product/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 with ClickHouse 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; it's 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, we'll continue shaping the future of customer acquisition. 

For individuals with disabilities who would like to request an accommodation, please contact us at HR@QuoteVelocity.com .