Data Engineer

Job Description

Our client, a modern and tech-forward insurance organization, is looking for a Data Engineer to join their growing team in Framingham, MA. This is a full-time opportunity where you’ll work on building scalable data pipelines, architecting cloud-based solutions, and leveraging the latest AI and data technologies to transform insurance workflows.

You’ll be at the forefront of designing and implementing data infrastructure that powers real-time insights for agents and customers. If you’re passionate about solving complex data challenges, driving innovation, and contributing to a high-growth environment, this role will give you the opportunity to expand your skills and make a measurable impact.

This is a full-time hybrid role in Framingham.

Required Skills & Experience

• Bachelor’s degree in Computer Science, Data Engineering, or a related field

• 5+ years of experience in data engineering or backend development

• Strong knowledge of data modeling, ETL pipelines, and event-driven architecture

• Proven experience with relational databases and SQL (Postgres, MySQL, or similar)

• Hands-on experience with distributed data systems (Spark, Kafka, Flink, or equivalent)

• Proficiency with AWS cloud services (S3, RDS, Redshift, Lambda, SQS, SNS)

• Experience designing and building APIs and data integrations

• Familiarity with CI/CD pipelines and DevOps best practices

• Experience working with streaming and real-time data

Desired Skills & Experience

• Experience with vector databases (PGVector, Pinecone, Weaviate, Milvus)

• Familiarity with AI/ML workflows and integrating models into production pipelines

• Knowledge of containerization and orchestration (Docker, Kubernetes)

• Hands-on experience with observability tools (Prometheus, Grafana, Datadog)

• Experience with data governance, compliance, and security best practices (HIPAA, GDPR)

• Prior work in Insurtech or Fintech domains

What You Will Be Doing

Tech Breakdown

• 70% Data Pipeline & Infrastructure Development

• 20% System Design & Integration

• 10% Cross-team Collaboration & Documentation

Daily Responsibilities

• Hands-on development of scalable ETL and real-time streaming pipelines

• Designing and optimizing data architecture for analytics and AI-driven applications

• Collaborating with Product, Engineering, and Business teams to deliver data-driven solutions

• Monitoring system health, ensuring data quality, and implementing observability best practices

The Offer

• Competitive base salary

• Bonus eligible

• Benefits include:

  • Medical Insurance

  • Dental Insurance

  • Vision Insurance

  • Paid Time Off (PTO)

  • 401(k) with match

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.