Data Engineer
Listed on 2026-03-03
-
IT/Tech
Data Engineer, Cloud Computing
Join a major federal technology modernization program and help transform how data powers mission-critical systems! As a Data Engineer, you'll design and optimize data pipelines that integrate legacy systems with modern platforms, enabling advanced analytics and AI-driven solutions. If you're passionate about building robust, scalable data architectures and working with cutting-edge tools, this is your chance to make an impact.
This position is located in our Lafayette, Louisiana office; however, a hybrid working model is acceptable.
Due to the nature of government contracts, US citizenship or Permanent Residence with is required.
Your future duties and responsibilities:
- Design, build, and maintain ETL/ELT pipelines for large-scale data integration.
- Optimize data workflows using tools like Apache Airflow, Spark, Kafka, and Databricks.
- Develop solutions for structured and unstructured data across data lakes and warehouses.
- Collaborate with application and AI teams to ensure seamless data flow for APIs and ML models.
- Implement data quality checks, versioning, and governance standards.
- Support CI/CD processes for data engineering and ensure compliance with security and privacy requirements.
- Troubleshoot and optimize performance for high-volume data processing.
Salary Range: $63,700.00 - $
Qualifications:Required qualifications to be successful in this role:
- Experience:
3–5+ years in data engineering or backend data systems.
Technical
Skills:
- Strong proficiency in SQL and Python (or Scala).
- Experience with data warehouses (Snowflake, Big Query, Redshift) and data lakes (Delta Lake, Lakehouse architecture).
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes).
- Strong understanding of data modeling, versioning, and orchestration.
Desired qualifications/non-essential skills required:
- Experience with real-time data processing and streaming architectures.
- Knowledge of data governance, cataloging, and compliance frameworks (e.g., GDPR, HIPAA).
- Exposure to MLOps or integration with AI/ML pipelines.
- Background in performance optimization and cost-efficient cloud data solutions.
- Experience in large-scale modernization projects in government or regulated environments.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).