

Sr. SQL Data Engineer(H1B/USC Only) (Hybrid – Charlotte, NC)-(W2 Only) Rate: $60ly)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. SQL Data Engineer (H1B/USC Only) with a 12–24 month contract, paying $60/hour. Located in Charlotte, NC, it requires 5+ years of data engineering experience, strong SQL skills, and finance industry background.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date discovered
July 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Charlotte, NC 28202
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🧠 - Skills detailed
#Python #Big Data #Data Quality #Scala #Apache Spark #"ETL (Extract #Transform #Load)" #Hadoop #Data Pipeline #Data Engineering #Spark (Apache Spark) #SQL (Structured Query Language) #Version Control #Kafka (Apache Kafka) #Agile #Documentation #Compliance
Role description
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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.
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
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
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!
Job Type: Contract
Pay: $59.99 - $60.00 per hour
Work Location: Hybrid remote in Charlotte, NC 28202