Data Operations Engineer (Hybrid) - 30039

HII's Mission Technologies division; Maryland; Hybrid; AUD 193,000 - 274,000; Full time

Benefits offered by this job

100% employee health premium (health,視

10% 401k benefit

PTO + 10 paid holidays

Education/training allowances

Job summary

Enlighten is seeking a Data Operations Engineer to lead the DataOps team, ensuring reliability and fast delivery of mission-critical datasets. You will translate customer requirements into engineering tasks and oversee data flows across cloud environments.

The role emphasizes automation, high-touch client communication, and proactive platform evolution. The position is hybrid, based in Maryland with flexible in-person collaboration, and requires a Secret clearance and strong background in

Qualifications

• Clearance: Must have active Secret level U.S. Government Security Clearance; U.S. Citizenship required.
• 9+ years in technical operations, systems engineering, or data management with a Bachelor's; OR 7 years with Masters; OR 13 years with HS diploma.
• Distributed systems & cloud platforms experience managing high-volume data flow and storage.
• Observability & log analysis experience with enterprise tools.
• SQL data validation experience.
• Scripting in Python or Java for automation.
• Strong communication to non-technical stakeholders.
• Ability to obtain Security+ within 60 days of hire.
• Hybrid work requirement: 1-2 days/week at Columbia, MD office.

Responsibilities

• Lead a technically focused DataOps team to ensure reliability, uptime, and speed-to-delivery of mission-critical data sets.
• Serve as the primary technical contact for stakeholders and translate mission requirements into engineering tasks.
• Oversee deployment and maintenance of data flows using templates and libraries from Engineering.
• Perform immediate cluster performance tuning and pipeline monitoring to minimize latency.
• Drive the evolution of the data platform toward proactive, automated operations.
• Coordinate ecosystem-wide sharing of scripts and flow strategies across teams.
• Implement automated Quality Gates and schema validations for production readiness.
• Troubleshoot complex dataflow issues across distributed messaging, orchestration, and cloud environments.

Skills

Customer interface

Operational leadership

Systems engineering

Data pipelines

Performance tuning

Job description

Data Operations Engineer (Hybrid) - 30039

HII's Mission Technologies division – Maryland NSW

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers’ greatest challenges.

Why Enlighten?

We recognize that the most effective environment for your projects doesn’t always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results.

At Enlighten, our team’s unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company’s success, so we seek to take care of you as much as you take care of us.

Here are a few highlights of our benefits package:

• 100% paid employee premium for healthcare, vision and dental plans.
• 10% 401k benefit.
• Generous PTO + 10 paid holidays.
• Education/training allowances.

Anticipated Salary Range:$137,510.00-$195,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process.

Job Description

As a member of the Data Operations Team at Enlighten, you will lead a technically focused team responsible for the reliability, uptime, and speed-to-delivery of mission-critical data sets. This role requires a heavy focus on customer interface, serving as the primary technical point of contact for stakeholders. You will translate complex mission requirements into technical workflows, ensuring that our data pipelines are automated, documented, and precisely aligned with customer needs.

This position focuses on the systems engineering and platform stability required to manage high-velocity data across complex ecosystems. You will oversee the transition from reactive data fixing to an adaptive, self-healing platform, managing the "Flow Owners" who monitor, troubleshoot, and optimize data infrastructure while maintaining high-touch communication with the client.

#LI-DS1 #Mid-Senior Level

• Customer Interface & Engagement: Serve as the lead liaison between the customer and the technical team. You will manage expectations, communicate technical roadmaps, and translate mission-specific data needs into actionable engineering tasks.
• Operational Leadership: Help manage the daily operations of the DataOps team, focusing on accelerating data availability and minimizing the latency between initial data identification and final database availability.
• Systems Engineering Oversight: Oversee the deployment and maintenance of data flows using standardized templates and core libraries provided by the Engineering team.
• Performance Tuning: Responsible for immediate cluster performance tuning and pipeline monitoring to ensure data health and discovery latency are minimized.
• Strategic Alignment: Drive the technical evolution of the data platform, moving the organization from a reactive maintenance state toward a proactive, automated, and adaptive operational model.
• Ecosystem Coordination: Facilitate technical exchanges to ensure scripts, flow strategies, and wins in one area of the ecosystem are adapted and utilized across others.
• Quality Governance: Implement automated "Quality Gates" and schema validations to ensure data integrity before it reaches production environments.
• Technical Troubleshooting: Lead the decomposition of complex technical problems and troubleshoot systemic dataflow issues across distributed messaging, orchestration, and cloud environments.
• Other duties as assigned.

Minimum Qualifications

• Clearance Requirement: Must currently have and maintain an active Secret level U.S. Government Security Clearance; U.S. Citizenship required.
• Must have 9+ years in technical operations, systems engineering, or data management with a Bachelor’s degree; OR 7 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience.
• Distributed Systems & Cloud Platforms: Proven experience managing high-volume data flow and storage solutions, specifically distributed messaging queues, data orchestration engines, and cloud-native storage.
• Observability & Log Analysis: Strong familiarity with enterprise observability platforms and log analysis tools for monitoring system health and minimizing data discovery latency.
• Data Standards: Deep understanding of network data, metadata fill rates, and various log formats such as JSON and XML.
• ETL Management: Fluency in managing extraction, translation, and loading (ETL) processes to enable rapid analytics.
• Data Validation: Experience with Structure Query Language (SQL) for the purposes of data validation in conjunction with members of the team and the customer.
• Scripting for Automation: Ability to utilize scripting languages (e.g., Python or Java) to implement shared libraries that automate repetitive tasks and improve operational efficiency.
• Technical Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and translate customer mission requirements into technical specifications.
• Must be able to obtain Security+ certification within 60 days of hire.
• Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.

Preferred Requirements

• Can also consider candidates with a current TS/SCI.
• Customer Success Background: Prior experience in a technical account management or customer-facing engineering role.
• Scalable Architectures: Experience with distributed data processing and cloud-native storage solutions.
• Security Operations: Prior experience supporting cyber or network security operations.
• Governance & Access: Knowledge of implementing automated Attribute Based Access Control (ABAC) or data masking within production pipelines.

We have many more additional great benefits/perks that you can find on our website at www.enlighten.com.