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MS
M9 Solutions LLC
Data Engineer
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Based on Maryland data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$112,698 / year median in Maryland
+11% projected growth
Job Description
Data Engineer
M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.
M9 Solutions is seeking a Data Engineer to support a government contract for a client in Bethesda, MD. An active Top Secret SCI clearance is required.
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 data flows 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 the 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 full-time employees.
- Collaborate with the rest of the data engineering team to design and launch new features.
- Coordinate and document dataflows, capabilities, etc.
- Occasionally (as needed) support for off-hours deployment, such as evenings or weekends.