Our client is seeking a highly skilled Senior Data Engineer to join their team and work remotely. This role will support mission-critical data initiatives enabling advanced analytics data integration and scalable data infrastructure in a secure environment.
The ideal candidate has extensive experience designing and building data pipelines working with large-scale datasets and operating within secure cleared environments.
Key Responsibilities:
- Design develop and maintain scalable data pipelines and ETL/ELT workflows
- Build and optimize data architectures to support analytics and reporting requirements
- Integrate data from multiple sources (structured and unstructured) into centralized platforms
- Ensure data quality integrity and governance across systems
- Collaborate with data scientists analysts and engineering teams to deliver data solutions
- Optimize database performance and implement indexing partitioning and query tuning strategies
- Work within secure DoD environments ensuring compliance with all security protocols and standards
- Support cloud-based data platforms (AWS Azure or similar) and hybrid architectures
- Develop and maintain documentation for data pipelines systems and processes
- Troubleshoot and resolve data-related issues in production environments
Required Qualifications:
- Active Top Secret (TS) clearance or higher
- 8 years of experience in data engineering data architecture or related field
- Strong experience with ETL/ELT tools and frameworks
- Proficiency in SQL and at least one programming language (Python Java or Scala)
- Experience with data warehousing solutions (e.g. Snowflake Redshift BigQuery)
- Hands-on experience with cloud platforms (AWS Azure or GCP)
- Experience building and maintaining data pipelines at scale
- Familiarity with data modeling techniques (star schema dimensional modeling)
- Understanding of data governance security and compliance frameworks
- Ability to work independently in a remote fast-paced environment
Preferred Qualifications:
- Experience supporting DoD or federal government contracts
- Familiarity with cleared environments and classified data handling
- Experience with big data technologies (Spark Hadoop Kafka)
- Knowledge of DevOps/DataOps practices (CI/CD pipelines automation)
- Experience with containerization tools (Docker Kubernetes)
- Exposure to real-time data processing and streaming architectures
- Bachelors or Masters degree in Computer Science Engineering or related field
Required Skills:
Data EngineeringData AnalyticsData IntegrationData Architecture
Our client is seeking a highly skilled Senior Data Engineer to join their team and work remotely. This role will support mission-critical data initiatives enabling advanced analytics data integration and scalable data infrastructure in a secure environment.The ideal candidate has extensive experienc...
Our client is seeking a highly skilled Senior Data Engineer to join their team and work remotely. This role will support mission-critical data initiatives enabling advanced analytics data integration and scalable data infrastructure in a secure environment.
The ideal candidate has extensive experience designing and building data pipelines working with large-scale datasets and operating within secure cleared environments.
Key Responsibilities:
- Design develop and maintain scalable data pipelines and ETL/ELT workflows
- Build and optimize data architectures to support analytics and reporting requirements
- Integrate data from multiple sources (structured and unstructured) into centralized platforms
- Ensure data quality integrity and governance across systems
- Collaborate with data scientists analysts and engineering teams to deliver data solutions
- Optimize database performance and implement indexing partitioning and query tuning strategies
- Work within secure DoD environments ensuring compliance with all security protocols and standards
- Support cloud-based data platforms (AWS Azure or similar) and hybrid architectures
- Develop and maintain documentation for data pipelines systems and processes
- Troubleshoot and resolve data-related issues in production environments
Required Qualifications:
- Active Top Secret (TS) clearance or higher
- 8 years of experience in data engineering data architecture or related field
- Strong experience with ETL/ELT tools and frameworks
- Proficiency in SQL and at least one programming language (Python Java or Scala)
- Experience with data warehousing solutions (e.g. Snowflake Redshift BigQuery)
- Hands-on experience with cloud platforms (AWS Azure or GCP)
- Experience building and maintaining data pipelines at scale
- Familiarity with data modeling techniques (star schema dimensional modeling)
- Understanding of data governance security and compliance frameworks
- Ability to work independently in a remote fast-paced environment
Preferred Qualifications:
- Experience supporting DoD or federal government contracts
- Familiarity with cleared environments and classified data handling
- Experience with big data technologies (Spark Hadoop Kafka)
- Knowledge of DevOps/DataOps practices (CI/CD pipelines automation)
- Experience with containerization tools (Docker Kubernetes)
- Exposure to real-time data processing and streaming architectures
- Bachelors or Masters degree in Computer Science Engineering or related field
Required Skills:
Data EngineeringData AnalyticsData IntegrationData Architecture
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