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Momentum Engineering

Designs secure cloud-based data architectures

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listedIn-person

About the Job

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

About the Company

Momentum Engineering

Designs secure cloud-based data architectures

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
Not listed
Total funding
Not listed
Headquarters
Columbia, SC
Founded
2015

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