Data Engineer with AWS Gov Cloud

Connexions Data Inc; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Connexions Data Inc. is seeking a Senior Data Engineer to design, build, and scale robust data pipelines and data products for a 6-month remote engagement.

You will lead ingestion frameworks, Delta Live Tables pipelines, and medallion architecture to ensure high-quality, scalable data solutions across government cloud environments. Ideal candidates bring 8+ years in data engineering, strong Python/SQL skills, Databricks experience, and a track record of delivering production-grade data

Qualifications

• 8+ years of data engineering experience.
• Hands-on Delta Live Tables (DLT) and Databricks.
• Strong understanding of medallion architecture and data modelling.
• Proficiency in Python and SQL.
• Experience with ETL/ELT pipeline development and optimization.
• Familiarity with Government cloud platforms such as AWS or Azure/GC.
• Strong problem-solving and performance tuning skills.

Responsibilities

• Design and build scalable data ingestion frameworks for batch and streaming data.
• Build and maintain Delta Live Tables pipelines for reliable data processing.
• Implement and optimize medallion architecture (Bronze, Silver, Gold layers).
• Develop high-quality, reusable, and production-grade data products.
• Ensure data quality, governance, and performance optimization across pipelines.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Monitor, troubleshoot, and enhance existing data workflows.

Skills

Data engineering

Delta Live Tables

Databricks

Medallion architecture

Python/SQL

ETL/ELT pipelines

Gov cloud platforms

Troubleshooting/Perf tuning

Job description

Data Engineer (AWS GOV cloud exp)

Duration 6 Months with Possible extension

Location 100% Remote - these folks can be based in any timezone

Industry: A&D

# of positions: 3

Job Description Role Overview:

We are looking for a Senior Data Engineer to design, build, and scale robust data pipelines and data products. The role focuses on driving efficient data ingestion, implementing Delta Live Tables (DLT) pipelines, and applying medallion architecture (Bronze/Silver/Gold) to ensure high-quality, reliable, and scalable data solutions. Key Responsibilities:

• Design and develop scalable data ingestion frameworks for batch and streaming data
• Build and maintain Delta Live Tables (DLT) pipelines for reliable data processing
• Implement and optimize medallion architecture (Bronze, Silver, Gold layers)
• Develop high-quality, reusable, and production-grade data products
• Ensure data quality, governance, and performance optimization across pipelines
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Monitor, troubleshoot, and enhance existing data workflows

Required Skills & Experience:

• Strong experience in data engineering (8+ years preferred)
• Hands-on experience with Delta Live Tables (DLT) and platforms like Databricks
• Solid understanding of medallion architecture and data modelling concepts
• Proficiency in Python and/or SQL
• Experience with ETL/ELT pipeline development and optimization
• Familiarity with Government cloud platforms such as AWS or (Azure/Google Cloud Platform)
• Strong problem-solving and performance tuning skills

Preferred Qualifications:

• Experience with real-time/streaming data pipelines
• Knowledge of data governance, lineage, and cataloguing tools
• Exposure to CI/CD for data pipelines
• Experience working in large-scale enterprise environments