> Markdown version of [/jobs/ext/3936877-data-operations-engineer](https://www.wearedevelopers.com/jobs/ext/3936877-data-operations-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Operations Engineer

- **Company:** GRVTY, LLC
- **Location:** Fort Meade, MD, United States
- **Experience:** Expert
- **Salary:** $103,690.0 - $160,605.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Systems Engineering, Cloud Engineering, Data Discovery, Data Infrastructure, Extract Transform Load (ETL), Data Masking, Distributed Computing Environment, Data Flow Control, JSON, Python (Programming Language), Network Security, Enterprise Messaging Systems, Operational Databases, Performance Tuning, DataOps, SQL Databases, Extensible Markup Language (XML), Data Processing, Cloud Platform System, System Availability, Storage Technologies, Data Management, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9260647/data-operations-engineer

## About the Role

* U.S. citizenship and a current, active U.S. Government Secret security clearance, with the ability to obtain and maintain TS/SCI.
 * At least 9 years of experience in technical operations, systems engineering, or data management with a relevant bachelor's degree; 7 years with a related master's degree; or 13 years with a high-school diploma or equivalent.
 * Proven experience supporting high-volume dataflows and storage across distributed messaging systems, data orchestration engines, and cloud-native storage platforms.
 * Experience with observability and log-analysis tools to monitor system health, dataflow performance, and data discovery latency.
 * Understanding of network data, metadata completeness or fill rates, and common log or data formats such as JSON and XML.
 * Experience managing ETL workflows and using SQL to validate data quality in coordination with technical teams and customers.
 * Ability to automate repeatable operational tasks through Python or Java scripting and reusable shared libraries.
 * Ability to troubleshoot distributed dataflow issues, support performance tuning, and implement automated quality checks and schema validation.
 * Strong customer-facing communication, technical coordination, and requirements-translation skills, including explaining complex systems to nontechnical stakeholders.
 * Ability to work at a customer site in Fort Meade, MD, four to five days per week and adapt to changes in the customer schedule.

What Would be Nice to Have

 * A currently active TS/SCI clearance.
 * Prior experience in customer-facing engineering, technical account management, or customer success.
 * Experience designing or operating scalable distributed processing and cloud-native storage architectures.
 * Experience supporting cyber or network-security operations.
 * Knowledge of automated attribute-based access control (ABAC) or data masking within production pipelines.

## Description

GRVTY is seeking a Data Operations Engineer to support the reliability, availability, and timely delivery of mission-critical data. In this customer-facing DataOps role, you will coordinate technical operations, guide dataflow owners, and help evolve high-volume data pipelines toward reliable, automated, and proactively monitored services.

What You'll be Owning

 * Serve as a technical point of contact with customer stakeholders; translate mission data needs into engineering tasks, workflows, and clear delivery expectations.
 * Help lead day-to-day DataOps activities and coordinate flow owners responsible for monitoring, maintaining, and improving data infrastructure.
 * Oversee dataflow deployment and maintenance using standardized engineering templates, core libraries, and reusable processes.
 * Monitor pipeline health, data availability, system uptime, and discovery latency across distributed messaging, orchestration, and cloud environments.
 * Tune cluster and pipeline performance; diagnose systemic dataflow and platform-stability issues and coordinate technical remediation.
 * Implement automated quality gates, schema checks, and validation workflows to protect production data integrity.
 * Improve ETL workflows, metadata completeness, network-data handling, and the consistency of data delivered to analysts and customers.
 * Apply scripting, automation, and operational feedback to help transition from reactive troubleshooting to proactive, adaptive data operations.
 * Share proven workflows and technical approaches across teams, and communicate operational status and platform evolution to stakeholders.

This position supports a customer site in Fort Meade, MD. Onsite attendance is typically four to five days per week and may change with customer requirements.