Data Engineer

LED FastStart • Lafayette, LA

7d • Hybrid

About The Position

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 3 years residence is required.

Requirements

• Experience: 3–5+ years in data engineering or backend data systems.
• Technical Skills:
• ETL/ELT pipeline development using Airflow, Spark, dbt, Kafka, or similar tools.
• Strong proficiency in SQL and Python (or Scala).
• Experience with data warehouses (Snowflake, BigQuery, 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.

Nice To Haves

• 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.

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.

Benefits

• Eligibility to participate in an attractive Share Purchase Plan (SPP) in which the company matches dollar-for-dollar contributions made by eligible employees, up to a maximum, for their job category
• 401(k) Plan and Profit Participation for eligible professionals
• Paid Time Off (PTO)
• Paid Federal Holidays
• Health & Welfare Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed