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DATA ENGINEER - GovCloud

Remote • Posted 2 hours ago • Updated 2 hours ago

Contract W2

2 Years

No Travel Required

Remote

Depends on Experience

Fitment

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Job Details

Skills

Data Engineering
Databricks
Delta Live Tables (DLT)
Medallion Architecture
Python
SQL
ETL
ELT
Data Pipelines
Data Ingestion
Data Modeling
Batch Processing
Stream Processing
Real-Time Data Processing
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Cloud Data Engineering
Data Quality
Data Governance
Data Lineage
Data Catalog
Performance Tuning
CI/CD
Data Integration
Apache Spark
PySpark
Lakehouse Architecture
Bronze Silver Gold Architecture

Data Engineering
Databricks
Delta Live Tables (DLT)
Medallion Architecture
Python
SQL
ETL
ELT
Data Pipelines
Data Ingestion
Data Modeling
Batch Processing
Stream Processing
Real-Time Data Processing
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Cloud Data Engineering
Data Quality
Data Governance
Data Lineage
Data Catalog
Performance Tuning
CI/CD
Data Integration
Apache Spark
PySpark
Lakehouse Architecture
Bronze Silver Gold Architecture

Summary

Data Engineer ( GovCloud Focused )

Duration: 6-12 months to start with likely long extension Location: 100% Remote
No. of positions: 3

Client: Aerosapce (Can not work with vendors or visa holders )

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10228619
Position Id: 9110192
Posted 2 hours ago

Contact the job poster

Jeff Moore

Recruiter @ Connexions Data Inc

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