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 pipelinesKnowledge 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 domainsWhat You Will Be Doing
Tech Breakdown
70% Data Pipeline & Infrastructure Development20% System Design & Integration10% Cross-team Collaboration & DocumentationDaily Responsibilities
Hands-on development of scalable ETL and real-time streaming pipelinesDesigning and optimizing data architecture for analytics and AI-driven applicationsCollaborating with Product, Engineering, and Business teams to deliver data-driven solutionsMonitoring system health, ensuring data quality, and implementing observability best practicesThe Offer
Competitive base salaryBonus eligibleBenefits include :Medical Insurance
Dental InsuranceVision InsurancePaid Time Off (PTO)401(k) with matchApplicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted by : Sarah Carroll
Specialization :
Data Engineering