Data Engineer - Alexandria, United States - Modern Technology Solutions Inc
Description
Own Your Future.Modern Technology Solutions, Inc. (MTSI), is seeking a
Data Engineer .
Why is MTSI known as a Great Place to Work?
Interesting Work:
Our co-workers support some of the most important and critical programs to our national defense and security.
Values:
Our first core value is that employees come first.
We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
100% Employee Ownership:we have a stake in each other's success, and the success of our customers.
It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
Great Benefits - Most Full-Time Staff Are Eligible for:Starting PTO accrual of 20 days PTO/year + 10 holidays/year
Flexible schedules
6% 401k match with immediate vesting
Semi-annual bonus eligibility (July and December)
Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
Up to $10,000 in annual tuition reimbursement
Other company funded benefits, like life and disability insurance
Optional zero deductible Blue Cross/Blue Shield health insurance plan
Track Record of Success:
We have grown every year since our founding in 1993
Modern Technology Solutions, Inc.
(MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.For more information about MTSI, please visit
Responsibilities:
MTSI is looking for a Data Engineer to be a member of our team in support of the Army Geospatial Center (AGC).
Qualified candidates will support a team with development, testing, and deployment of next-generation geospatial basemaps, derived from open-source content, in support of the US Army.
Responsibilities:
Support data processing initiatives to create tiled basemap datasets from open-source and/or Department of Defense content
Perform regular updates to foundation datasets, incorporating new data as it becomes available
Design, optimize, and execute automated data processing pipelines for large datasets.
Coordinate with AGC stakeholders for development and testing of geospatial data dissemination systems
Provide subject matter expertise for containerization of data and data processing pipelines
Provide data management support to enterprise databases and datasets
Assist with migration, testing, and operation of data dissemination platforms
Provide research into automated data processing workflows for analysis and product generation of geospatial data
Support evaluation and experimentation of Tactical Servers and Edge Nodes as geospatial map servers
Qualifications:
Required :
Active Secret Clearance
Bachelor's degree in in Computer Science, Data Science, Data Engineering or a related field
15 or more years related work experience in engineering, computer science, or related engineering discipline
Experience with Docker
Experience optimizing PostgreSQL for large data processing
Experience with optimizing data processing workflows to include parallelization
Familiarity with Microservices
Strong Python and Javascript development skills
Strong written and oral communication skills, with emphasis on briefing to obtain decisions and solve technical issues and test plans/reports writing
Ability to work independently as well as part of a team
Willingness to learn, solve problems and perform in a dynamic work environment
Desired :
Familiarity with GDAL
Cloud integration and deployment experience (Azure or AWS)
Development/integration experience with MapBox
Development experience with PostGIS
Security+ Certification
Please Note:
U.S. Citizenship is required for most MTSI positions.
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