Senior Data Engineer

Piper Companies is seeking a Data Engineer to support a growing data and analytics team for a leader in the finance industry. The Data Engineer role is ideal for a senior-level engineer with deep experience designing, building, and maintaining scalable data pipelines in cloud-based environments. This position is a fulltime W2 contract for 18 months with potential to extend.

Responsibilities of the Data Engineer:

• Design, build, and maintain robust ETL pipelines to support enterprise data initiatives.

• Develop and optimize data workflows using Python and AWS-native services.

• Collaborate with analytics, product, and engineering teams to ensure high-quality data delivery.

• Support data ingestion from multiple internal and external financial data sources.

• Ensure data accuracy, reliability, and performance across large-scale datasets.

• Implement best practices around data governance, security, and monitoring.

Qualifications of the Data Engineer:

• Must be eligible to hold a Secret Clearance.

• 8+ years of professional experience as a Data Engineer or in a similar role.

• Strong hands-on experience with ETL development and data pipeline architecture.

• Proficiency in Python and AWS (S3, Glue, Redshift, Lambda, or similar services).

• Experience working within the finance or financial services industry.

• Strong SQL skills and experience working with large, complex datasets.

Compensation for the Data Engineer includes:

• Salary range: $120,000 - $150,000

• Comprehensive benefits package including medical, dental, vision, 401(k), and PTO

• Fully remote work environment (EST/CST time zones)

This job opens for applications on 05/15/2026. Applications for this job will be accepted for at least 30 days from the posting date.

#LI-JN1

#LI-REMOTE