Finance Data Engineer | $85/hr Remote

Work SnapshotType: Contingent RoleLocation: San Francisco, CA / New York, NY / Bellevue, WACommitment: 10-40 hrs/weekCommission: $60-$85 per hourWhat You'll Be DoingBuild and maintain PySpark-based data pipelines for Finance's data flow.Write and optimize SQL for large volumes of financial data.Partner with Finance and engineering stakeholders to develop data infrastructure.Track down and fix pipeline issues, ensuring data quality.What We Re Looking ForHave strong relevant experience in the domain.Hands-on experience with PySpark and large-scale data processing.Strong SQL skills required for technical screens.Bachelor's degree in Computer Science or a related field.Comfortable working onsite full-time.Application ProcessSubmit your application through the Easy Apply button.Each application will be reviewed against the role requirements.Candidates who meet the requirements will receive an email with the next steps.Follow the instructions provided in the email to complete the remainder of the application process.