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Senior Data Engineer - Data Operations

LinkedIn Arine San Francisco, CA
Not Applicable Posted March 14, 2026 Job link
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Requirements
  • Mentoring mid-level and junior engineers through code reviews and sharing best practices in data operations.
  • 4-6+ years of professional experience in data engineering with a focus on data ingestion and infrastructure.
  • Proficiency in Python and SQL, with a track record of building production-grade data pipelines.
  • Strong experience with ingestion tools such as Kinesis, Airbyte, Kafka, or similar frameworks.
  • Hands-on experience with Snowflake and moving data from operational databases (RDS, DynamoDB) to cloud data warehouses.
  • Solid understanding of AWS services (S3, Lambda, Step Functions, RDS).
  • Experience with containerization (Docker) and deploying maintainable systems.
  • Knowledge of ELT patterns, specifically supporting analytics engineering workflows and dbt.
  • Experience with CDC (Change Data Capture) and incremental processing methodologies.
  • Detail-oriented mindset regarding data privacy and compliance (HIPAA experience is a plus).
  • Strong communication skills, with the ability to collaborate effectively across data science and engineering teams.
  • Remote Work Requirements:
  • An established private work area that ensures information privacy
  • Ability to pass a background check
  • Must live in and be eligible to work in the United States
Preferred Skills
  • Detail-oriented mindset regarding data privacy and compliance (HIPAA experience is a plus).