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Data Pipeline Reliability Engineer

Job

DCI Solutions

Washington, DC (In Person)

$180,000 Salary, Full-Time

Posted 3 weeks ago (Updated 5 hours ago) • Actively hiring

Expires 7/19/2026

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Job Description

Data Pipeline Reliability Engineer DCI Solutions - 4.1 Washington, DC Job Details Full-time $160,000 - $200,000 a year 17 hours ago Benefits Health savings account Relocation assistance Health insurance Dental insurance 401(k) Flexible spending account Tuition reimbursement Paid time off Parental leave Vision insurance 401(k) matching Professional development assistance Flexible schedule Life insurance Retirement plan Qualifications Azure Secret Clearance Java AWS SRE Terraform Full Job Description DCI Job Requirement for:
Data Pipeline Reliability Engineer Location:
Washington, D.C.
Job Description:
Serve as a Data Pipeline Reliability Engineer (DPRE) on a cross-functional team Be the first to respond to data health failures on key pipelines. Read code to identify fixes and make changes to improve the performance and stability of data pipelines 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 Triaging, troubleshooting, and coordinating the resolution of technical issues Diagnose, resolve, and prevent issues encountered in the field 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: Installing data health metrics and automated alerts Document strategies for responding to incidents Maintain and build schedules so that pipelines run Set up and maintain health checks on different pipelines
Qualifications :
Strong engineering background Proficiency with programming languages such as Python, Java, and/or SQL 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: Data warehousing Data Lakes Data governance Data Liniage Understanding of networking concepts (DNS, VPNs, Load Balancing) Experience with the following tools highly preferred: Observability tools (Ex. Grafana) Data Pipeline tools (Ex. Airflow) Cloud tools (
Ex:
AWS, Azure, Google Cloud) IaC tools (Ex. Terraform)
Required:
Active Secret Security Clearance Job Type:
Full-time $160,000-$200,000
Job Type:
Full-time Pay:
$160,000.00 - $200,000.00 per year
Benefits:
401(k) 401(k) matching Dental insurance Flexible schedule Flexible spending account Health insurance Health savings account Life insurance Paid time off Parental leave Professional development assistance Relocation assistance Retirement plan Tuition reimbursement Vision insurance
Experience:
data engineering: 5 years (Preferred) python coding/programming : 5 years (Preferred)
Foundry:
2 years (Preferred) building and managing data pipelines : 2 years (Preferred) Security clearance: Secret (Required)
Work Location:
In person