Job Title: Data & Software Engineer I
Location: 100% Remote (within eligible states)
Team: Enterprise Information Services
Job Type: Full-time
About the Role
We’re looking for a Data & Software Engineer I who has a foundational understanding of both traditional and modern data architecture, and a passion for learning and collaboration.
In this role, you’ll work on data transformation, analysis, and pipeline development—using tools like SQL, Python, PySpark, and platforms like Databricks and Snowflake. You’ll partner closely with cross-functional teams to build scalable data solutions that support analytics, reporting, and decision-making.
This is an excellent opportunity for someone early in their career who is eager to grow their skills in both data engineering and software development, while contributing to impactful healthcare technology solutions.
What You’ll Do
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Develop, optimize, and maintain data pipelines using Python, SQL, and PySpark
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Work with both traditional (ETL, ELT, star/snowflake) and modern (lakehouse, Delta Lake) data architectures
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Collaborate with teams across multiple time zones to deliver scalable and efficient data solutions
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Translate complex technical concepts into clear, non-technical language for stakeholders
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Identify and address gaps in processes with a proactive and solution-focused mindset
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Contribute to agile development processes and continuous improvement initiatives
What We’re Looking For
Required Qualifications:
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Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent experience
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1+ years of relevant experience in software or data engineering
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Proficiency in Python, and experience with object-oriented programming (e.g., C#, Java, Python)
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Strong SQL skills for data manipulation and analysis
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Familiarity with agile development methodologies
Preferred Qualifications:
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Experience with distributed computing tools such as PySpark
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Exposure to data platforms like Snowflake or Databricks
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Understanding of machine learning concepts (time series, statistical modeling, etc.)
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Experience using version control systems such as Git
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Exposure to NoSQL databases