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Data Engineer; Mid

Job in Baton Rouge, East Baton Rouge Parish, Louisiana, 70873, USA
Listing for: SMX Services & Consulting, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 43 - 45.84 USD Hourly USD 43.00 45.84 HOUR
Job Description & How to Apply Below
Position: Data Engineer (Mid)

SMX Services & Consulting, Inc. provided pay range

This range is provided by SMX Services & Consulting, Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$43.00/hr - $45.84/hr

Clearance: Ability to obtain/maintain Public Trust (IRS)

Work Location: On-site, authorized work sites

Authorized work sites

  • IRS Main Building – 1111 Constitution Ave NW, Washington, DC 20224
  • IRS New Carrollton Federal Building (NCFB) – 5000 Ellin Rd, Lanham, MD 20706
  • IRS Ogden Office – 2484 Washington Blvd, Ste 200, Ogden, UT 84401
  • IRS Farmers Branch Office – 4050 Alpha Rd, Farmers Branch, TX 75244

Work Hours: Mon-Fri, 8:30a-5:30p

Contract Term: Anticipated 12‑month base; options/surge may be exercised; contingent on award.

Compensation

Candidate Pay: $40.00 - $45.84/hr

About the role

You’ll build reliable, scalable data pipelines and models to power analytics, APIs, and ML workloads in a secure federal environment.

What you'll do
  • Design, implement, and operate ETL/ELT pipelines (e.g., Airflow, dbt, Spark, Kafka)
  • Model data for analytics and application consumption; enforce data quality & lineage
  • Tune warehouses/lakes (Snowflake, Big Query, Redshift, Delta/Lakehouse)
  • Automate CI/CD for data workflows; implement monitoring and cost controls
  • Partner with application and ML teams to deliver governed, production-ready datasets
Required qualifications
  • 3‑5 years data engineering experience in production environments
  • Strong SQL and one scripting language (Python preferred)
  • Hands‑on with at least one orchestrator (Airflow/Prefect) and one transformation tool (dbt/Spark)
  • Familiarity with cloud data services (AWS/GCP/Azure), object storage, and IAM
Preferred qualifications
  • Streaming pipelines (Kafka/Kinesis/Pub Sub), schema registry, CDC
  • Data versioning (DVC/LakeFS), great expectations or similar for quality
  • Security and privacy controls; PII handling and encryption at rest/in transit
Education
  • Bachelor’s in Computer Science, Information Systems, Data, or related field
  • Equivalent experience may substitute for degree
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