Data Engineer; SQL & Autosys - Banking/Financial Services
Listed on 2026-01-02
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IT/Tech
Data Engineer, Data Analyst
Job Title: SQL Data Engineer (Mid & Senior Levels)
Location: Hybrid – Charlotte, NC
Contract Duration: 12–24 Months
Work Authorization: W2 Only
Interview Format: Microsoft Teams – One & Done
Pay Rate Range: Based on the experience
Position OverviewWe are actively hiring Mid-Level and Senior SQL Data Engineers to support the expansion of a leading financial institution’s technology team. This division plays a pivotal role in building and maintaining scalable data pipelines that power mission-critical finance applications.
You’ll be joining a team that thrives on ownership, technical rigor, and the ability to communicate effectively across data and business stakeholders. This is a chance to leave your mark on systems that directly impact decision-making at enterprise scale.
Core Responsibilities- Design, build, and manage robust SQL-based ETL pipelines
- Leverage Auto Sys (or similar) for job scheduling and orchestration
- Collaborate with upstream data providers and troubleshoot delivery or schema issues
- Translate complex data requirements into scalable engineering solutions
- Proactively identify and resolve pipeline performance bottlenecks
- Ensure high availability and accuracy of data across systems
- Maintain clear documentation of data flows and operational practices
- Participate in Agile ceremonies and report on dependencies and progress
- 5+ years (Mid-Level) or 7+ years (Senior-Level) in Data Engineering roles
- Strong command over SQL and hands‑on experience with ETL development
- Experience using Auto Sys or comparable job control systems
- Proven background in supporting finance, banking, or enterprise tech environments
- Clear, concise communication, especially for client‑facing or lead‑level engagements
- Experience with Python or Apache Spark
- Exposure to CI/CD, version control, and performance tuning of data workflows
- Familiarity with data quality, governance, and compliance expectations
- Primarily a Big Data specialist (e.g., Hadoop, Hive, Kafka-heavy roles)
- Lacking recent hands‑on experience with SQL and traditional ETL systems
- Unable to confidently communicate with technical and business stakeholders
- Hybrid Onsite
: 3–4 days/week in Charlotte, NC or Dallas, TX - Interview Slots Available Daily (1–5 PM ET) – quick turnaround guaranteed
If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
Manpower Group is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of Manpower Group and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
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