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Data Engineer - Remote

Data Engineer - Remote

ExperisSan Francisco, CA, United States
2 days ago
Job type
  • Full-time
  • Remote
Job description

Data Engineer

We're hiring a Data Engineer to design, build, and operate the data pipelines and platform that power analytics and AI / ML use cases. You'll own batch and streaming ingestion, transformation, modeling, and data quality at scale-ensuring our data is reliable, well-governed, cost-efficient, and delivered with strong SLAs. You'll partner closely with product, analytics, and ML teams to turn raw data into trusted, self-serve datasets and features.

Key Responsibilities

  • Build and operate scalable batch and streaming data pipelines.
  • Model, document, and publish curated datasets and ML-ready features.
  • Enforce data quality with automated tests, SLAs, lineage, and monitoring.
  • Tune storage and queries to optimize performance and cost.
  • Protect data with robust security, privacy, and compliance controls.
  • Collaborate with product, analytics, and ML teams and support production systems.

Required Skills and Experience

  • 4-6+ years of production data engineering experience or equivalent.
  • Advanced SQL and proficiency in at least one general-purpose programming language, with hands-on experience using distributed data processing frameworks.
  • Proven delivery on a major cloud with a modern warehouse or lakehouse.
  • Working knowledge of streaming patterns and platforms.
  • Strong data modeling and fluency with modern file and table formats.
  • Proficiency in orchestration, CI / CD, and infrastructure as code.
  • Demonstrated ownership of data quality, observability, and lineage.
  • BS in CS / Engineering or equivalent and strong communication skills.

    • Preferred Qualification

  • Experience building and maintaining feature pipelines and stores for ML.
  • Familiarity with data catalog, lineage, and data quality toolchains.
  • Track record enabling self-serve analytics with semantic layers or data build tool.
  • Experience with containers and Kubernetes in production.
  • Relevant cloud certifications and SaaS or product analytics domain exposure.
  • Evidence of mentorship, code reviews, and cross-team technical leadership.

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    Data Engineer Remote • San Francisco, CA, United States