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Database Developer

Job in Annapolis, Anne Arundel County, Maryland, 21403, USA
Listing for: Skyward IT Solutions, LLC
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 95000 USD Yearly USD 80000.00 95000.00 YEAR
Job Description & How to Apply Below

We are Skyward.

That is, a love for people, for improvement, for human advancement through information technology. We are a people-centered business with a desire to serve others. We are diverse and unified; creative and collaborative; a collection of complementary, not competing talents. And though on the surface we remain relaxed, beneath, a torrent of energy links us to our civic tech mission.

We stand by our values, and we won’t compromise on any of them.

Integrity:

We’re conscientious, intentional, and empathetic. Our words and actions align. That’s our character. Please don’t ask us to play another part, we’re poor actors.

Compassionate:

If we may borrow a quote from Theodore Roosevelt: “No one cares how much you know until they know how much you care.” Because our team is thoughtful and supportive, caring deeply for each other, our clients, and our work, this comes naturally.

Inquisitive:

We remain students by failing openly and turning lessons into solutions.

Unconventional:

For us, life isn’t what happens outside of work. Work happens inside of life and our culture erases the line often dividing the two.

Authentic:

Made possible only because we embody the values listed above. We’re relaxed and fun yet intensely curious and driven. Team members are placed with thought, care, and precision to ensure that Trust, Truth, and Transparency continue to represent our brand.

Because of that, we continue Onward, Upward, and Skyward.

We need a Database Developer.

You don’t just manage data, you architect clarity. You’re someone who thrives in complex environments, sees patterns others don’t, and turns raw data into structured, actionable gold.

If you’re fluent in SQL, energized by data loading pipelines, and love building clean, reusable database views that drive smart decision-making, we want to work with you. Bonus points if you’re excited to help researchers use this data to transform healthcare for millions of Americans.

Come join us if you're motivated to learn from others, to learn from mistakes, to be part of a future-looking and growth-oriented team.

Let's go Skyward together.

What you’ll do:
  • Be part of a team supporting the Centers for Medicare and Medicaid Services (CMS) by disseminating data to researchers who are studying ways to improve the quality and reduce the cost of care provided to chronically ill Medicare and Medicaid beneficiaries. (No big deal).
  • Ingest new data sources into the CMS Chronic Conditions Data Warehouse (CCW), helping expand access to valuable healthcare data for research and policy innovation.
  • Build, optimize, and maintain data views that integrate new and existing datasets—ensuring accuracy, clarity, and usability for analysts and researchers.
  • Design and support ETL workflows in a cloud data warehouse (e.g., Snowflake), ensuring reliability and scalability of data loading operations.
  • Support production operations, including rotation-based responsibilities for ETL loads—some of which may occur off‑hours or on weekends.
  • Document processes and business logic, creating reliable technical references that support audits, troubleshooting, and onboarding.
  • Collaborate closely with data analysts, technical leads, and CMS partners to align data structures with end‑user needs and program goals.
  • Proactively identify and resolve database or performance issues, contributing to continuous improvement of data systems.
What we’d like you to have:
  • A bachelor’s degree in data science, computer science, information systems, or a related field.
  • 2+ years of experience as a Database Developer, ideally in a government or healthcare setting.
  • Hands‑on experience with SQL, Python, ETL development, and Snowflake data warehouse concepts.
  • Exposure to AI or Machine Learning for data quality and anomaly…
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