Senior Data Engineer

. Developing robust, scalable data pipelines using cutting-edge technologies .

Posted 5/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,000 - $144,000 per yearWebsite

Tools & technologies

DynamoDBNoSQLPostgresSpark

Key responsibilities & impact

Developing robust, scalable data pipelines using cutting-edge technologies
Architecting and developing innovative data products that drive business insights
Utilizing advanced AI techniques to transform raw data into strategic intelligence

What you’ll need

5+ years of experience in data engineering or related roles
Experience leading projects and collaborating across teams
Strong analytical and problem-solving abilities
Excellent communication skills for stakeholder engagement
Commitment to staying updated with industry technology trends
Agentic Engineering: Hands-on experience with LLMs and coding agents
Strong understanding of data modeling concepts and practices
Familiarity with Big Data Technologies: Spark, Databricks, Structured Streaming
Experience with Relational (Postgres) and NoSQL (DynamoDB) databases
Knowledge in CI/CD: CircleCI, DroneCI, Github Actions, Spacelift
Understanding data privacy, security, and governance practices
Ability to integrate AI/ML models into data pipelines
Experience with LLM Tools: Claude Code, Cursor, Copilot, MCP, Agent Orchestrators
Proficiency in Git, Github

Comp & perks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata modelingAI techniquesLLMsBig Data TechnologiesSparkDatabricksRelational databasesPostgresNoSQL databases

Soft Skills

analytical abilitiesproblem-solvingcommunication skillsstakeholder engagementcollaborationproject leadershipcommitment to learning