Location
Wayne, PA
Salary
$100,000 - $140,000 /yearly
Type
fulltime
Posted
Today
Job Description
Piper Companies is seeking a
Senior ETL Developer
to join a leading financial services and investment organization based in
Wayne, PA.
This role plays a critical part in building and optimizing data pipelines, enhancing data integration workflows, and ensuring consistent delivery across onshore and offshore teams.
RESPONSIBILITIES:
- Design, build, and optimize ETL/ELT pipelines to support analytics and operational data needs
- Translate business requirements into technical specifications and scalable data solutions
- Develop and improve data models to support reporting and downstream systems
- Collaborate with architects, analysts, and offshore engineers to ensure consistent delivery and adherence to standards
- Conduct code reviews and enforce best practices across data development work
- Troubleshoot performance issues, data bottlenecks, and pipeline failures
- Maintain documentation for data workflows, processes, and development standards
QUALIFICATIONS:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
- 5\+ years of hands‑on ETL/ELT development experience
- Strong SQL skills and experience with tools like DBT, Talend, Matillion, Informatica, or Python-based ETL
- Experience working with cloud data platforms such as Snowflake, Azure Synapse, or Redshift
- Knowledge of CI/CD processes and version control (Git or similar)
- Prior experience collaborating with or guiding offshore teams
- Strong communication, problem‑solving skills, and ability to work across technical and business groups
COMPENSATION:
- Salary Range: $100,000 – $140,000
- Hybrid Schedule: 4 days onsite per week in Wayne, PA
- Comprehensive Benefits: Medical, Dental, Vision, 401(k), PTO, Sick Leave as required by law, and Holidays
This job opens for applications on
(03/02/2026)
. Applications will be accepted for at least 30 days from the posting date.
Keywords:
Senior ETL Developer, ETL, ELT, SQL, Data Engineering, Data Pipelines, Cloud Data, Snowflake, Azure Synapse, Redshift, DBT, Talend, Matillion, Informatica, Git, CI/CD, Data Modeling, Data Warehousing, Offshore Collaboration, Financial Services Data
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