AustinWorks · 14 hours ago
Lead Data Engineer
AustinWorks is partnering with a series A fintech company building core financial infrastructure for a complex industry. The Lead Data Engineer will own the data platform end-to-end, focusing on data ingestion, modeling, and validation to support business-critical workflows across various teams.
Responsibilities
Own the design and implementation of end-to-end data pipelines from raw ingestion to downstream consumption
Build and maintain production-grade data infrastructure used by finance, product, marketing, and leadership
Partner closely with finance on transactional data, reconciliation, and reporting
Work directly with customers on external data pipelines and integrations tied to onboarding and ongoing usage
Establish standards around data modeling, quality, testing, and CI/CD
Act as the technical authority for data architecture and tooling decisions
Lead projects independently and drive initiatives from 0 → 1
Qualification
Required
6+ years of experience in data engineering or similar senior IC roles
Hands-on experience working with financial or transactional data (payments, billing, revenue, ledgers, reconciliation, etc.)
Clear ownership of 0 → 1 data systems — not just maintaining existing pipelines
Strong SQL and Python skills
Experience designing data pipelines used in real production environments
Ability to clearly articulate why systems were built and the business impact they delivered
Comfortable working cross-functionally with finance, product, engineering, and non-technical stakeholders
Preferred
Experience with customer-facing or external data pipelines
Data feeding into AI / ML systems
Dashboards or business-facing data products
Experience with Snowflake, AWS, dbt, Airflow/Dagster (tools are flexible)
Company
AustinWorks
Proven experience recruiting for technical talent with speed, precision and no bull.
Funding
Current Stage
Early StageCompany data provided by crunchbase