Interim Senior Data Engineer (Fractional/Contract)
Job Description
The company is hiring a time-boxed, senior fractional Data Engineer to close several high-priority engineering projects while a full‑time hire is onboarded. This is a short (about 6–8 week) hands-on engagement focused on standing up decision-ready pipelines, auditing and documenting existing orchestration, and executing small data-hygiene fixes. The role is deliverable-driven — success is measured by pipelines delivered and documentation prepared for an FTE handoff. No long-term ownership or major codebase rewrites are expected.
Responsibilities
- Build production pipelines per scope (product analytics event stream; S3 → BigQuery ingestion for raw membership/enrollment data) toward the agreed end-state.
- Audit current orchestration and pipelines: map flows, document components, surface gaps, and provide prioritized recommendations the incoming FTE can act on.
- Deliver clear, actionable documentation for every pipeline and audit item to enable smooth FTE handoff.
- Implement small-lift data hygiene fixes (e.g., normalize customer state fields) — no-brainer fixes only.
- Default to advise-and-document rather than large structural rewrites; escalate any work requiring sign-off.
- Optionally (nice to have): implement an additional server-to-server third-party service → BigQuery pipeline if time permits.
- Operate within a timebox and guardrails; coordinate status and handoff with the company's data team.
Qualifications
- Senior, hands-on data engineer with proven ability to execute independently under tight timelines.
- Strong experience with BigQuery, cloud object storage (e.g., S3), and managed ETL/ELT tooling.
- Familiarity with transformation frameworks (e.g., dbt).
- Experience building event streams and analytics pipelines (experience with product analytics platforms is a plus).
- Proficiency in SQL and at least one scripting language commonly used for data engineering (Python preferred).
- Experience auditing and orchestrating pipelines and working with orchestration tools.
- Excellent written communication and documentation skills for FTE handoff.
- Comfort working in startup/B2B environments and delivering in an approximately 6–8 week, deliverable-based engagement.
- Nice to have: prior experience with server-to-server integrations (third-party services → BigQuery) and/or working within small engineering/data teams.
About the Company
Data-focused B2B company building scalable, secure data systems for enterprise customers across industries such as insurance, healthcare, and financial services. The organization focuses on aligning engineering execution with business priorities and fostering a culture of ownership, impact, and collaboration. It operates in a high-growth startup environment.