Full-Time

Data Engineer

Momentum Engineering

Momentum Engineering

11-50 employees

Designs secure cloud-based data architectures

No salary listed

No H1B Sponsorship

Washington, DC, USA

In Person

US Top Secret Clearance Required

Category
Data & Analytics (1)
Required Skills
Kubernetes
Dynamodb
Agile
Redshift
Python
Airflow
Apache Spark
SQL
Apache Kafka
Postgres
Docker
AWS
Pandas
JIRA
Elasticsearch
Redis
MongoDB
Confluence
Linux/Unix
Requirements
  • 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 Services cloud environments 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 PySpark, 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
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
Desired Qualifications
  • Master’s degree or equivalent experience in a related field
  • Familiarity and experience with the Intelligence Community, and the intel cycle
  • Familiarity and experience with the Department of Homeland Security
  • Direct Experience with DHS and Intelligence Community 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
  • Specialization in Object Oriented Programming languages, scripting, and databases

Momentum Engineering builds secure, cloud-based data engineering solutions that help clients run mission-critical analytics and improve software performance. Its offerings center on designing robust data architectures and data-driven engineering methodologies, implemented through DevOps and DevSecOps practices to ensure reliable, measurable performance. The company differentiates itself by focusing on secure architectures tailored to clients' needs, rigorous evaluation and validation of data-driven approaches, and a client-focused service model with collaborative culture and profit-sharing to attract top talent. The goal is to provide dependable data infrastructure and engineering processes that enable better analytics outcomes and software reliability for engineers, analysts, developers, and instructors.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Columbia, South Carolina

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • Federal agencies prioritize DevSecOps in cloud pipelines matching Momentum's expertise.
  • Rising demand for ontology development in high-security defense environments.
  • Profit-sharing and benefits attract top data engineering talent.

What critics are saying

  • Booz Allen Hamilton consolidates DLA, DHS, NSA subcontracts within 6-12 months.
  • Databricks poaches engineers, crippling 49 open roles in 3-6 months.
  • NSA zero-trust mandates deprecate legacy DevSecOps in 12-24 months.

What makes Momentum Engineering unique

  • Momentum Engineering delivers secure cloud data pipelines for DLA, DHS, NSA missions.
  • WOSB status unlocks federal set-aside contracts in defense sectors.
  • Team holds security clearances and polygraphs for sensitive national security.

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Benefits

Paid Vacation

Paid Holidays

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan