Data Engineer (SQL & Autosys) - Banking/Financial Services

SQL Data Engineer (Mid & Senior Levels)

Job Title: SQL Data Engineer (Mid & Senior Levels)

Location: Hybrid – Charlotte, NC

Industry: Fortune 100 Financial Institution

Contract Duration: 12–24 Months

Start Date: ASAP

Openings: 5

Work Authorization: W2 Only

Interview Format: Microsoft Teams – One & Done

Pay Rate Range:

• Mid-Level: $53–57/hr

• Senior: $67–74/hr

Position Overview

We 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 AutoSys (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

Required Skills

• 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 AutoSys 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

Preferred Qualifications

• 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

Not a Fit If You Are:

• 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

Location & Schedule

• Hybrid Onsite: 3–4 days/week in Charlotte, NC or Dallas, TX
• Interview Slots Available Daily (1–5 PM ET) – quick turnaround guaranteed