Source description
About the role
Python Data Engineer
Strong Python and SQL skills, ETL development experience with Microsoft SSIS, and familiarity with Agile, GitLab, and JIRA in a large enterprise environment.
Location: Hybrid – Lake Mary, FL or Pittsburgh, PA (Onsite 4x/week) Duration: 12 Months (Contract) Work Authorization: GC / USC Interview Process: 2 rounds – Final interview is onsite Job Description:
We are seeking a Python Data Engineer to support a leading financial institution in delivering high-quality data solutions in a hybrid enterprise environment. The ideal candidate will have strong expertise in building and maintaining ETL pipelines, with hands-on experience in Python and SQL. This role is onsite 4 days per week and open to local candidates only.
Key Responsibilities:
Design, build, and optimize ETL pipelines using Python and SQL.
Work with relational databases and large-scale datasets to ensure reliable data integration.
Develop and manage workflows in Microsoft SSIS .
Collaborate with stakeholders and cross-functional teams in an Agile environment.
Participate in code reviews, documentation, and deployment practices using GitLab and JIRA .
Troubleshoot and resolve data quality issues in a proactive and timely manner.
Required Skills:
Strong proficiency in Python for data engineering and automation.
Expertise in SQL and relational database systems .
Hands-on experience with Microsoft SSIS for ETL development.
Experience working in a large enterprise financial environment .
Familiarity with Agile methodologies , GitLab , and JIRA .
Nice to Have:
Experience with data warehousing concepts or cloud data platforms .
Familiarity with data quality frameworks and testing best practices.
More at 3B Staffing