Project Manager to Help Run Our Data Engineering Work (US only)
Hi! We’re building out a data engineering program and we’re looking for a US-based Project Manager who can keep delivery moving smoothly. You’ll work closely with our data engineers and a few business stakeholders to plan work, keep priorities clear, unblock the team, and make sure projects ship on time. This is a hands-on PM role — not just meetings — we need someone who can turn conversations into clear tickets, keep a simple roadmap, and communicate progress in a way everyone understands. You will run sprint planning, standups, and retros (or a lightweight version if that fits better), break work into well-defined tasks with acceptance criteria, track timelines, risks, and dependencies, keep stakeholders updated with short status reports, and help improve process and documentation. The kind of work we support includes data pipelines (ETL/ELT), APIs, integrations, data warehouse and modeling (Snowflake, BigQuery, Redshift, dbt), and data quality checks, monitoring, and reporting. We are looking for someone based in the US who has managed projects with data or analytics engineering teams and is comfortable with technical concepts like SQL, schemas, and pipelines. This is a remote position for 10–20 hours per week to start, with a preference for long-term collaboration.
Budget range:
$20/hr - $50/hr
- Hiring as
- For a client
- Hiring stage
- Ready to make a paid hire
- Work type
- Full-time position (Contract)
- Experience level
- Junior, mid-level
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