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GTN Technical Staffing

Lead Data Engineer

GTN Technical Staffing, Dallas, Texas, United States, 75215

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Get AI-powered advice on this job and more exclusive features. GTN Technical Staffing provided pay range

This range is provided by GTN Technical Staffing. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range

$150,000.00/yr - $200,000.00/yr Additional compensation types

Annual Bonus Direct message the job poster from GTN Technical Staffing Director of Recruiting and Delivery @ GTN Technical

Location:

Hybrid Dallas, TX (3 days onsite per week) Employment Type:

Full-Time, Direct Hire Compensation:

$150,000$190,000 base + bonus Relocation:

Open to non-local candidates and offering a relocation package Were hiring a

Lead Data Engineer

to architect and build scalable, high-performance data systems that power enterprise analytics and business insights. This is a

hands-on, hybrid role based in Dallas, TX , requiring

3 days onsite per week . The ideal candidate will be highly experienced in optimizing large-scale data pipelines, infrastructure, and platforms in a

hybrid cloud environment . Key Responsibilities Design and maintain robust data pipelines (batch, streaming, CDC) using

Spark ,

Kafka ,

Flink , and

Trino Build and maintain cloud-native data solutions using

AWS Develop reusable

ETL/ELT frameworks

and scalable data models supporting structured and unstructured data Implement orchestration tools like

Apache Airflow

and manage Kubernetes-based data workflows Collaborate with product, analytics, and engineering teams to ensure secure, scalable, and high-performing systems Mentor junior engineers and champion data quality, governance, and best practices across the organization Requirements 7+ years of hands-on experience in

data engineering

with deep expertise in

Python ,

SQL ,

Spark , and

Kafka Strong experience with

data lakes ,

data warehouses , and

NoSQL databases Proven experience with

AWS Demonstrated success managing

petabyte-scale datasets

and

high-performance computing (HPC)

workloads Bachelors degree in

Computer Science ,

Engineering , or a related field (Masters preferred) Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Information Technology Industries

Staffing and Recruiting, Information Services, and Financial Services Referrals increase your chances of interviewing at GTN Technical Staffing by 2x Inferred from the description for this job

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