Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
MacDill AFB, Florida
Actively hiring, first seen by us 7 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Citizens only
Top Secret Clearance with SCI Eligibility
What you’ll work on
Full postingDevelop and maintain data pipelines and ETL processes across structured and unstructured sources
Write complex queries and optimize NoSQL and big data infrastructure performance
Extract data from relational, NoSQL and platform APIs for ingestion and integration
Configure and manage analytic frameworks such as Spark, Hadoop, Kafka and Hive
Administer cloud computing and CI/CD pipelines on Azure, Google Cloud and AWS
From the employer’s posting
Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure.
Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
- Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
- Proficiency in programming language(s).
- Ability to work onsite 5 days per week
- Experience working with large financial datasets
Preferred experience
- Familiarity with Palantir Foundry
Qualification wording
Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
Proficiency in programming language(s).
Ability to work onsite 5 days per week
Experience working with large financial datasets
Familiarity with Palantir Foundry
Education & alternatives
- Minimum of 1-year experience is required. - Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering. - Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 6, 20267 days ago
- Recorded sightings
- 8
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 7
Similar jobs usually come down between day 6 and day 56.
At Clarity Innovations, jobs usually come down by about day 22.
From 13,630 similar postings that came down, and 25 of Clarity Innovations’s. Coming down is not always a hire.
Clarity Innovations is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- AWS
- Azure
- Hadoop
- Hive
- Kafka
- MongoDB
- Neo4j
- NoSQL
- Spark
Where the posting names them
This Data Engineer directly supports the U.S. Special Operations Command (SOCOM) based at MacDill Air Force Base, Florida. Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within the SOCOM HQ to provide subject matter expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support SOCOM's initiative to be more capable and effective when leveraging their data resources. Responsibilities A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Senior Data Engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design. This Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.
- Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture. - Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration. - Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
- Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration. - Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig. - Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
- Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering. - Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines. - Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
- Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms. - Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS). - Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs
- Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources. - Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture. - Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Role
This Data Engineer directly supports the U.S. Special Operations Command (SOCOM) based at MacDill Air Force Base, Florida. Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within the SOCOM HQ to provide subject matter expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support SOCOM's initiative to be more capable and effective when leveraging their data resources.
Responsibilities
A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Senior Data Engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design.
This Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.
The Data Engineer shall perform the following tasks:
- Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources.
- Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
- Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
- Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
- Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
- Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
- Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs
Requirements
- Minimum of 1-year experience is required.
- Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
- Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
- Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
- Proficiency in programming language(s).
- A Secret Clearance is required, Top Secret clearance with SCI eligibility is preferred
- Ability to work onsite 5 days per week
- Experience working with large financial datasets
Preferred Qualifications
- Familiarity with Palantir Foundry
- Familiarity with DoW
- Top Secret Clearance with SCI Eligibility
Senior Data Engineer
$93,600—$159,100 USD
Pay Range
The posted pay range reflects the national salary range for this position and is provided to give candidates a general understanding of the compensation opportunity. The actual salary offered will be determined based on the requirements of the position and a variety of job-related factors, which may include geographic location, applicable Federal Government contract labor categories and wage rates, relevant experience, skills and competencies, education, certifications, and the scope and responsibilities of the role.
Because this position may be performed in multiple locations and may be subject to different contract requirements, the salary ultimately offered may vary based on the applicable location and contract. The posted range is not a guarantee of a specific starting salary or an indication that an offer will be made at any particular point within the range.
Total Rewards
In addition to competitive base pay, Clarity provides a Total Rewards package designed to attract and retain exceptional professionals committed to excellence. Our benefits reflect the value we place on skilled individuals who drive our impact in critical digital missions.
At Clarity, a career means joining a high-performing team advancing vital work in the digital landscape. We encourage you to consider the total value of joining us—competitive compensation, comprehensive benefits, and resources that support your growth and impact.
Our Total Rewards package includes performance-based bonuses, extensive medical, dental, and vision coverage, a 401(k) plan with company match, substantial paid time off and holidays, flexible work arrangements where possible, and a range of income protection benefits. We are committed to supporting your well-being, professional growth, and ability to contribute to essential digital missions.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
MacDill AFB, Florida
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.