ME00559-Data Engineer
Washington, DC
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop and design data pipelines to support an end-to-end solution
Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues
Develop and maintain artifacts (e.g.
From the employer’s posting
Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Develop and design data pipelines to support an end-to-end solution Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes)
Integrate data pipelines with AWS cloud services to extract meaningful insights Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues Design and develop robust and functional dataflows to support raw data and expected data
Develop and design data pipelines to support an end-to-end solution Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes) Integrate data pipelines with AWS cloud services to extract meaningful insights
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree or equivalent practical experience
- Experience with Agile development methodology
- Expertise in distributed computing frameworks to handle large-scale data processing
- Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments
- Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies
Preferred experience
- Master’s degree or equivalent experience in a related field
- Experience with DevOps environments
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle
- Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications
Qualification wording
Bachelor’s degree or equivalent practical experience
Experience with Agile development methodology
Expertise in distributed computing frameworks to handle large-scale data processing
Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments
Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies
Master’s degree or equivalent experience in a related field
Experience with DevOps environments
Familiarity and experience with the Intelligence Community (IC), and the intel cycle
Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications
Education & alternatives
- Must have active Top Secret/SCI clearance - Bachelor’s degree or equivalent practical experience - Expertise in distributed computing frameworks to handle large-scale data processing
Tools in this posting
- Python
- AWS
- Docker
- Kubernetes
- PostgreSQL
- Redis
- Redshift
- S3
- Airflow
- pandas
- SQL
- Kafka
- Elasticsearch
- MongoDB
- Dynamodb
Source — Tool mentions in context
- Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL - Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies - Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka
- Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes) - Integrate data pipelines with AWS cloud services to extract meaningful insights - Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues
- Expertise in distributed computing frameworks to handle large-scale data processing - Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments - Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL
- Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies - Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka - Familiar with Linux/Unix server environments
- Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments - Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL - Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies
Job description
Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.
Job Summary
- Seeking a data engineer to work in a variety of settings to develop and design data pipelines to support end-to-end solutions
- Candidate will build systems that collect, manage, and convert raw data into usable information for multiple purposes to include but not limited to, IT application usage, reporting, applicant processing, etc.
Primary Responsibilities
- Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Develop and design data pipelines to support an end-to-end solution
- Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes)
- Integrate data pipelines with AWS cloud services to extract meaningful insights
- Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues
- Design and develop robust and functional dataflows to support raw data and expected data
- Provide Tier 3 technical support for deployed applications and dataflows
- Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives
- Create and manage product roadmaps that reflect both innovation and growth strategies
- Partner with a government product owner and a product team of 7-8 FTEs
- Collaborate with the rest of data engineering team to design and launch new features
- Coordinate and document dataflows, capabilities, etc.
- Occasionally (as needed) support to off-hours deployment such as evening or weekends
Required Qualifications
- Must have active Top Secret/SCI clearance
- Bachelor’s degree or equivalent practical experience
- Expertise in distributed computing frameworks to handle large-scale data processing
- Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments
- Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL
- Proficient utilizing Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies
- Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka
- Familiar with Linux/Unix server environments
- Experience with Agile development methodology
- Publishing and/or presenting design reports
- Coordinating with other team members to reach project milestones and deadlines
- Working knowledge with Collaboration tools, such as, Jira and Confluence
Desired Qualifications
- Master’s degree or equivalent experience in a related field
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle
- Familiarity and experience with the Department of Homeland Security (DHS)
- Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred)
- Experience with cloud message APIs and usage of push notifications
- Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security
- Working knowledge with public keys and digital certificates
- Experience with DevOps environments
- Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications
- Experience with cloud message APIs and usage of push notifications
- Specialization in Object Oriented Programming languages, scripting, and databases
Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ats.rippling.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Washington, DC
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 24
- Last seen by us
- Sep 29, 2026
- Employer says posted
- Mar 13, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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