Data Engineer

Why We Need You - The Mission

Medisolv is a national leader in healthcare quality data management solutions for hospitals and providers. Its all-in-one quality management platform, ENCOR, helps healthcare organizations advance patient care by measuring and improving their performance on more than 500 national quality and safety measures, including those required by the Centers for Medicare and Medicaid, The Joint Commission, private payers, and state agencies. Medisolv now serves more than 1,800 hospitals and 15,000 providers nationwide. As part of a recent investment by Bessemer Venture Partners Forge in 2023, the company is undergoing a period of transformation and growth.

At Medisolv, we empower healthcare organizations to achieve excellence in quality data management. We develop innovative solutions that advance patient care, streamline operations, and provide actionable insights. Our dynamic and collaborative team is the driving force behind this mission, and we are looking for a skilled Data Engineer to help us scale our data capabilities and deliver exceptional outcomes for our clients.

If you're passionate about leveraging data to solve complex problems, driving efficiencies through cutting-edge tools, and contributing to a meaningful mission, we want you on our team.

What You'll Accomplish - Your Performance Objectives

In your first 30 days, you will onboard and get to know the people, products and departments that make Medisolv run and you will:

• Onboard with the data engineering team to understand workflows, tools, and team dynamics.
• Review and familiarize yourself with the current Azure-based data infrastructure, including DataBricks, Data Factory, and SQL Server.
• Understand the existing pipelines, data models, and key data sources.
• Learn and support existing data products and data team responsibilities to ensure continuity and alignment with organizational goals.
• Gain insights into our current reporting and visualization tools.

In your first 3 months, you will:

• Develop, deploy, and optimize data pipelines in Azure to support scalable and reliable data processing.
• Collaborate with the data acquisition team to implement data integration workflows using Azure Data Factory.
• Create and maintain robust data models and ensure data quality across SQL Server and related platforms.
• Identify opportunities to optimize current data architecture and processes.

In your first 6 months, you will:

• Develop advanced reporting and visualization capabilities.
• Work with cross-functional teams to ensure data solutions align with corporate goals and deliver meaningful insights to stakeholders.
• Validate and improve performance metrics, and monitor the efficiency and accuracy of data pipelines.

In your first 12 months, you will:

• Implement enhancements and new technologies to future-proof our data infrastructure.
• Collaborate with product team to support advanced data-driven initiatives, including AI integrations.
• Document and maintain best practices for data engineering processes, ensuring consistent and reliable operations.
• Production support and rollout of existing products to new client organizations

What You Bring - Skills and Experience

Required Qualifications:

• 7+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines.
• Strong expertise in Data Bricks, Delta Tables, Unity Catalog and Spark.
• Strong expertise in Azure technologies, including Azure Data Factory and SQL Server.
• Expertise in Python.
• Knowledge of Stored Procedures, Indexes, UDF's, Views, and Data warehousing best practices
• Proven ability to design, implement, and optimize ETL/ELT workflows.

Who We're Looking For - The Personal Competencies That Matter

Technical Skills: Experience with Snowflake, data visualization platforms like Power BI and experience with AI/ML/Generative AI

Domain Knowledge: You have worked in healthcare enough to understand how clinical and non-clinical data is used and stored in various EHRs and supporting systems.

Knowledge In: You have an understanding of cloud-based analytics architectures and advanced data modeling techniques, knowing the differences between OLTP and OLAP, with an understanding of when each approach makes sense and you have knowledge of C# and/or React.

Proactive Problem Solver: You're resourceful and excel at taking initiative to drive tasks from concept to completion.

Collaborative Team Player: You thrive in cross-functional teams, building strong relationships across technical and non-technical stakeholders.

Adaptable Innovator: You embrace change and consistently seek out new tools and techniques to enhance data workflows.

Detail-Oriented Professional: You understand the importance of accuracy and reliability in data engineering and take pride in delivering high-quality results.

Resilient and Optimistic: You approach challenges with a solutions-focused mindset and view setbacks as opportunities for growth.

How to be a Medisolver - Our Values

At Medisolv, we value our people and the unique perspectives they bring to our mission. Here, you'll find:

• Customer Success Obsession
• All-Star Team Collaboration
• Continuous Improvement through Curiosity & Data-Driven Learning
• Courage with Kindness
• Execution Focus. We Do Business, Not Just Talk Business

Ready to join us on this exciting journey? Apply now and help us transform healthcare through the power of data!

Candidates must successfully complete a pre-employment background check and be legally authorized to work in the United States, as sponsorship is not available.