Data Engineer
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 is required.
Requirements
- Experience: 3–5+ years in data engineering or backend data systems.
- Technical Skills: o ETL/ELT pipeline development using Airflow, Spark, dbt, Kafka, or similar tools. o Strong proficiency in SQL and Python (or Scala). o 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
