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Data Operations Engineer
Phoenix Operations Group. Serve as the lead liaison between customers and technical teams .
Posted 11/10/2026full-timeColumbia • Maryland • United StatesSeniorLead💰 $137,510 - $195,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing high-volume data flows and storage solutions, including distributed messaging queues and cloud-native storage. Proficient in ETL processes, SQL validation, and effective communication with both technical and non-technical stakeholders.
Highest-signal resume keywords
Data ManagementETL ProcessesSQL ValidationTechnical OperationsData Orchestration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Flow ManagementData Orchestration EnginesDistributed Messaging QueuesJSONXMLPythonJavaAutomated Quality GatesSchema ValidationCluster Performance Tuning
Soft Skills
Strong Communication SkillsStakeholder EngagementExpectation Management
Tools & Technologies
Enterprise Observability PlatformsLog Analysis ToolsCloud-Native Storage Solutions
Certifications & Qualifications
Active Secret-Level U.S. Government Security ClearanceSecurity+ Certification
Industry Keywords
DataOpsAutomated OperationsData IntegrityCyber Security OperationsAttribute-Based Access Control
Tech Stack
Tools & technologiesCloudETLJavaPythonSQLTypeScript
About the role
Key responsibilities & impact- Serve as the lead liaison between customers and technical teams
- Manage expectations, communicate technical roadmaps, and translate data needs into engineering tasks
- Help manage daily DataOps operations, accelerating data availability and reducing the time from data identification to database availability
- Oversee deployment and maintenance of data flows using standardized templates and core engineering libraries
- Tune cluster performance and monitor pipelines to maintain data health and minimize discovery latency
- Drive the evolution of the data platform toward proactive, automated operations
- Coordinate technical exchanges so effective scripts, flow strategies, and practices can be reused across the ecosystem
- Implement automated quality gates and schema validation to protect data integrity before production
- Lead analysis and troubleshooting of complex data flow issues across distributed messaging, orchestration, and cloud environments
- Perform other duties as assigned
Requirements
What you’ll need- Active Secret-level U.S. Government security clearance and U.S. citizenship
- 9 or more years in technical operations, systems engineering, or data management with a bachelor’s degree; or 7 years of relevant experience with a master’s degree in a related field; or high school diploma or equivalent and 13 years of relevant experience
- Experience managing high-volume data flows and storage solutions, including distributed messaging queues, data orchestration engines, and cloud-native storage
- Familiarity with enterprise observability platforms and log analysis tools
- Understanding of network data, metadata fill rates, and JSON and XML log formats
- Fluency managing extraction, transformation, and loading (ETL) processes for analytics
- Experience using SQL to validate data
- Ability to use scripting languages such as Python or Java
- Strong communication skills, including explaining technical concepts to nontechnical stakeholders and translating mission requirements into technical specifications
- Ability to obtain Security+ certification within 60 days of hire
- Ability to work in a hybrid environment, averaging 1–2 days per week at the Columbia, Maryland office, with flexibility to adapt to schedule changes
- Preferred: Current TS/SCI clearance
- Preferred: Experience in technical account management or another customer-facing engineering role
- Preferred: Experience with distributed data processing and cloud-native storage solutions
- Preferred: Experience supporting cyber or network security operations
- Preferred: Knowledge of automated Attribute-Based Access Control (ABAC) or data masking in production pipelines
Benefits
Comp & perks- Medical, dental, and vision insurance with premiums fully paid by the company
- Short-term disability, long-term disability, and life insurance, fully paid by the company
- Automatic 10% company contribution to the 401(k); no matching contribution is required
- Four weeks of paid time off annually
- Eleven paid holidays per year
- Paid birthday leave
- Upfront and annually recurring referral bonuses
- Bonuses for contributing to company GitHub projects
- Paid training, certifications, and professional enrichment opportunities