Finance Data Engineer - PySpark & SQL Pipelines (Onsite)

Weekday 1; Bellevue (KY); On-site; USD 83,000 - 117,000; Full time

Job summary

Weekday 1 is seeking a Data Engineer — Finance to design and maintain production data infrastructure powering financial operations. This 6-month, full-time onsite contract requires building scalable PySpark pipelines and robust SQL queries to support critical financial initiatives.

You will collaborate with finance and engineering stakeholders, own data quality, and contribute to architecture discussions. Location flexibility includes onsite engagements in major U.S. cities.

Qualifications

• 2–4 years of professional experience as a Data Engineer.
• Hands-on experience with PySpark and distributed data processing.
• Advanced SQL skills with production-grade queries.
• Experience building, maintaining, and optimizing large-scale ETL/data pipelines.
• Bachelor's degree in Computer Science.
• Excellent written and verbal communication skills.
• Willingness to work onsite full-time.

Responsibilities

• Design, build, and maintain PySpark-based data pipelines for financial data processing.
• Write, optimize, and troubleshoot complex SQL queries for large datasets.
• Collaborate with finance and engineering to translate requirements into data infrastructure.
• Own data quality by identifying and resolving pipeline issues.
• Improve reliability, scalability, and performance of data workflows for finance operations.
• Contribute to architecture discussions and best practices for data engineering.
• Document workflows, data models, and processes for maintainability.

Skills

PySpark

SQL

ETL

Data pipelines

Data quality

Education

Bachelor's degree in Computer Science

Job description

Weekday 1 is seeking a Data Engineer — Finance to design and maintain production data infrastructure powering financial operations. This 6-month, full-time onsite contract requires building scalable PySpark pipelines and robust SQL queries to support critical financial initiatives.

You will collaborate with finance and engineering stakeholders, own data quality, and contribute to architecture discussions. Location flexibility includes onsite engagements in major U.S. cities.