Senior Engineering Manager, Partner Data Ingestion

New

NerdWalletFinTech data

This role will be remote (based in the U.S.).Full-TimeManager

Salary$176K - $330K; $176K – $330K • Offers Equity

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Job Details

Experience: 8+ years of relevant software engineering experience; 5+ years as the people manager of an engineering team
Required Skills: AWSPostgreSQLPythonSQLSnowflakeAirflow

Have 8+ years of relevant software engineering experience.
Have 5+ years as the people manager of an engineering team.
Have proven experience owning production data pipelines or an ingestion platform where correctness is critical, such as revenue, billing, or payments.
Have experience leading a migration from a legacy system to a new platform while both remain in production.
Bring strong SQL and Python skills and working knowledge of Snowflake and AWS.
Have familiarity with workflow orchestration such as Airflow or Step Functions, relational databases such as Postgres, and pipelines that are idempotent, observable, and safe to rerun.
Have working knowledge of data-quality practices, including reconciliation, anomaly review, and investigating discrepancies against source data.
Have experience partnering with Finance, Business Development, or other non-engineering stakeholders on data used for financial decisions.
Be able to coach engineers at different levels, including senior and staff engineers, with clear, actionable feedback.
Have experience balancing delivery dates with technical quality on systems where data cannot be silently dropped or double-counted.
Have a track record of using automation, including AI-assisted development, to increase team throughput.

Hire, lead, and develop engineers at multiple levels, including full-time staff and contractors.
Own revenue accuracy across partner files, pricing rules, and warehouse figures used by Finance.
Migrate verticals and partners from legacy ingestion to the modern platform, build new connectors to partner API portals, and retire the old path once the new one is proven.
Partner with Business Development, Finance, Product, and vertical engineering leaders to sequence work and resolve discrepancies.
Manage sprint planning, project timelines, and delivery commitments.
Adopt AI-assisted development where it improves migration and operations, with human review for changes affecting revenue.
Guide pipeline design, data modeling, and pricing logic as partner contracts change.
Maintain code review, testing, documentation, and operability for daily-running jobs.
Identify and escalate delivery risks before they cause revenue misses.
Keep ingestion reliable through freshness, completeness, and clear ownership when figures look wrong.

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