No 3rd party resumes will be accepted. No C2C candidates.
Data Engineer (2–4 Years Experience)
Location: Austin, TX (On-Site)
Employment Type: Full-Time, Direct Hire
Schedule: 7am-4PM and 1 weekend per month required due to bank data processing cycles
About the Role
We are seeking a Data Engineer for our Financial client, with 2–4 years of experience to help modernize a mature, mission-critical financial data environment. You will play a key role in migrating 16+ years of SQL Server code and legacy data processes to Snowflake, AWS, and modern ELT pipelines.
The ideal candidate is driven, curious, and eager to bring new ideas to a seasoned team that has worked with inherited processes for many years. You will not be thrown into a fire—the environment is stable—but you must learn quickly, collaborate well, and contribute to ongoing modernization efforts.
Key Responsibilities
- Assist in the migration of large-scale on-prem SQL Server workloads to Snowflake and AWS-based architectures.
- Analyze and understand existing data flows, database models, tags/flags, and legacy logic.
- Design and support modern ETL/ELT ingestion pipelines.
- Work with Access and Excel macro-driven legacy data sources (familiarity helpful but not required).
- Support weekend data processing (banking systems process daily, including weekends).
- Collaborate with a highly tenured team and introduce modern best practices.
- Work with financial data, including Account Recovery Management (ARM) systems.
Qualifications
- 2–4 years of professional Data Engineering experience (1–2 years considered if strong aptitude).
- Strong SQL skills, especially with legacy SQL codebases.
- Experience with Snowflake, AWS, or similar modern cloud data stack.
- Understanding of data modeling, ETL/ELT, pipelines, and ingestion architecture.
- Familiarity with financial industry data, ARM systems, or complex financial terminology is a major plus.
- Willingness to work one weekend per month (rotating schedule).
- Must pass extensive background checks from multiple banking institutions (no collections debt; no criminal flags).
