Oct 10
Secret
Mid Level Career (5+ yrs experience)
$200,000
No Traveling
IT - Data Science
Washington, DC (On-Site/Office)
DCI Job Requirement for:
Data Engineer
Location: Washington, D.C.
Job Description:
• Serve as a Data Pipeline Reliability Engineer (DPRE) on a cross-functional team
• Help to ensure our customers’ missions are supported with updated and accurate data
• Build, optimize, and maintain data pipelines to improve their efficiency and resilience.
• Serve as a first responder
o Triaging, troubleshooting, and coordinating the resolution of technical issues
o Diagnose, resolve, and prevent issues encountered in the field
o Implement/maintain automated monitoring to detect data quality issues
• Embed with business teams to minimize risks associated with product deployments
• Collaborate with customer-facing teams to increase reliability of data pipelines
• Improve performance/stability of production data pipelines by:
o Installing data health metrics and automated alerts
• Document strategies for responding to incidents
Qualifications:
• Strong engineering background
• Proficiency with programming languages such as Java, C++, Python, or JavaScript
• Basic parallel data processing experience
• Basics understanding of optimizing Spark jobs
• Experience performing root cause analysis and documentation of findings
• Understanding/experience with data concepts such as:
o Data warehousing
o Data Lakes
o Data governance
o Data Liniage
• Understanding of networking concepts (DNS, VPNs, Load Balancing)
• Experience with the following tools:
o Observability tools (Ex. Grafana)
o Data Pipeline tools (Ex. Airflow)
o Cloud tools (Ex: AWS, Azure, Google Cloud)
o IaC tools (Ex. Terraform)
Required: Active Secret Security Clearance
Job Type: Full-time
Salary: $160,000-$200,000
Data Engineer
Location: Washington, D.C.
Job Description:
• Serve as a Data Pipeline Reliability Engineer (DPRE) on a cross-functional team
• Help to ensure our customers’ missions are supported with updated and accurate data
• Build, optimize, and maintain data pipelines to improve their efficiency and resilience.
• Serve as a first responder
o Triaging, troubleshooting, and coordinating the resolution of technical issues
o Diagnose, resolve, and prevent issues encountered in the field
o Implement/maintain automated monitoring to detect data quality issues
• Embed with business teams to minimize risks associated with product deployments
• Collaborate with customer-facing teams to increase reliability of data pipelines
• Improve performance/stability of production data pipelines by:
o Installing data health metrics and automated alerts
• Document strategies for responding to incidents
Qualifications:
• Strong engineering background
• Proficiency with programming languages such as Java, C++, Python, or JavaScript
• Basic parallel data processing experience
• Basics understanding of optimizing Spark jobs
• Experience performing root cause analysis and documentation of findings
• Understanding/experience with data concepts such as:
o Data warehousing
o Data Lakes
o Data governance
o Data Liniage
• Understanding of networking concepts (DNS, VPNs, Load Balancing)
• Experience with the following tools:
o Observability tools (Ex. Grafana)
o Data Pipeline tools (Ex. Airflow)
o Cloud tools (Ex: AWS, Azure, Google Cloud)
o IaC tools (Ex. Terraform)
Required: Active Secret Security Clearance
Job Type: Full-time
Salary: $160,000-$200,000
group id: 90942178
