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Data Operations Technical Lead

Pay
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Work setting
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Employment
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Before you apply

Work authorization
Citizens onlyTop Secret / SCI, Must Have Clearance to Start

What you’ll work on

Full posting
  • Design, build and maintain ETL/ELT data pipelines into warehouses and data lakes

  • Develop and maintain real-time data streaming solutions with low latency

  • Oversee data model and schema design for analytics and reporting

  • Implement data validation, monitoring and error handling to ensure data quality

  • Mentor and guide junior data engineers

From the employer’s posting
Design, build, and maintain highly scalable, reliable, and efficient data pipelines
Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency
Oversee the development of data models and schema designs
Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.
Mentor and guide junior data engineers

What you’ll bring

All qualifications

Core experience

  • 8+ years in data or software engineering, including complex data pipelines
  • Active Top Secret/SCI clearance required to start
  • Minimum of eight years managing digital projects for SOF Enterprise customers
  • Bachelor's degree in computer science, information systems, data engineering or related field
Qualification wording
8+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines
Have active active TS/SCI clearance
Minimum of eight years’ experience managing digital projects in support of SOF Enteprise customers
Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
Education & alternatives
Education and Background Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 8+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience

About Agile-Defense

At Agile Defense we know that action defines the outcome and new challenges require new solutions.

In the employer’s words · Read in context

Apply at Agile-Defense

Posting record

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Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 1, 2026126 days ago
Recorded sightings
133
Last seen by us
Nov 4, 2026

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How this job compares

Time since we first saw it

Day 126

Up longer than most. Similar jobs usually come down between day 3 and day 42.

From 262 similar postings that came down. Coming down is not always a hire.

Agile-Defense is hiring

29 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

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  • Kafka
  • Spark
Where the posting names them
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems. - Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting. - Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.

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About the role

We file this job under Data Operations, by the work the posting describes.

Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.

Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.

Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.

Job description

View original posting ↗

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1700
Job Title: Data Operations Technical Lead
Location: MacDill AFB, FL
Clearance Level: Top Secret / SCI, Must Have Clearance to Start

Job Description

    The contractor shall identify a Data Operations Technical Lead by name who shall deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset. This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions.
     
    Job Duties:
  • Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems. 
  • Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting.
  • Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.
  • Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access. 
  • Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure.
  • Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment.

Education and Background

    Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 8+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Years of Experience

    8+ years

Required Skills

  • Have active active TS/SCI clearance
  • Minimum of eight years’ experience managing digital projects in support of SOF Enteprise customers

Preferred Skills

  • Three years experience managing SOF agile development processes
  • Three years experience managing SOF Data Operations processes and procedures
  • Three years experience managing SOF digital support request requirements, translating them from customer requests to assigning customer and digital support teams

Working Conditions

    General Office Environment
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Employment type

Regular

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Location & working pattern

Tampa, FL

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