ME00559-Data Engineer

Washington, DC, US • Posted 5 days ago • Updated 5 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Computer Science
  • FOCUS
  • Reporting
  • Process Improvement
  • Scalability
  • Extract
  • Transform
  • Load
  • Tier 3
  • Technical Support
  • Roadmaps
  • Innovation
  • Data Engineering
  • Data Flow
  • Security Clearance
  • Distributed Computing
  • Data Processing
  • Managed Services
  • Amazon Web Services
  • PostgreSQL
  • Amazon S3
  • Amazon Redshift
  • MongoDB
  • Amazon DynamoDB
  • Redis
  • Elasticsearch
  • SQL
  • Python
  • Pandas
  • Apache NiFi
  • Amazon Lambda
  • Docker
  • Kubernetes
  • JMS
  • Amazon SQS
  • Apache Kafka
  • Linux
  • Unix
  • Agile
  • Publishing
  • Presentations
  • Collaboration
  • JIRA
  • Confluence
  • Management
  • IC
  • Internal Communications
  • Integrated Circuit
  • DevOps
  • COTS
  • Open Source
  • Data Integration
  • Visualization
  • Cloud Computing
  • Object-Oriented Programming
  • Scripting
  • Database
  • Life Insurance

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91159622
  • Position Id: 6f61484ec5381b2f39394e3aa8f5a3aa
  • Posted 5 days ago
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