Come join a company that streamlines the healthcare revenue cycle!
Position Objective
The Senior Data Engineer creates and maintains data architectures, pipelines and solutions for business
intelligence workloads. The ideal candidate has a blend of experience with big data engineering, relational
database development, machine learning, and analytics.

Essential Functions

• Design, build, and maintain data infrastructure, including databases, data lakes, and data warehouses.
• Work with product teams, business stakeholders, data scientists and application developers

operationalize the data analytics and AI strategies using a variety of cloud-based relational and big

data tools.

• Develop and maintain data integration and ETL pipelines from various sources into data storage

systems

• Develop dashboards and analytics for the client’s AI-Enabled Platform
• Collaborate with machine learning engineers to develop and optimize data pipelines for training and

deploying AI/ML models at scale.

• Ensure data pipelines are designed to support machine learning use cases, from data ingestion to

feature engineering and model serving in a cloud-based environment.

• Work closely with ML engineers to integrate data architectures into MLOps workflows, ensuring

smooth data flows for both batch and real-time predictions.

• Implement data governance practices that support explainable AI and ethical use of data across

machine learning models.

• Design and maintain data architectures that support AI-driven claims management functionalities,

ensuring high scalability and performance for real-time decision-making.

• Collaborate with teams to enhance data processing capabilities, enabling more accurate

predictions and faster claim resolutions.

Non-essential Functions

• Other duties as assigned

Contacts

• Daily contact with data science, engineering and product teams

Supervisory Responsibility

• This position has no supervisory responsibilities

Experience

• 5+ years of relevant experience as a Data Engineer
• 3+ years of hands-on experience working with industry leading big data technologies or data

warehouses

• 5+ years of experience with relational databases like SQL Server and Oracle, including experience

with Azure SQL

• Experience in writing complex SQL queries and creating data models.
• Experience with Databricks or Azure Databricks
• Experience with ETL technologies such as Azure Data Factory
• Experience with discovering and analyzing patterns in data
• Ability to create dashboards using Tableau, Power BI or other tools
• Experience with Python and other data engineering languages like PySpark
• Familiarity with data science tools like Jupyter notebook or Databricks notebooks
• Experience with machine learning workloads and MLFlow is a plus
• Experience working with CI/CD tools like TeamCity or Jenkins
• Experience with source control tools like Bitbucket or Github
• Experience working in an Agile development environment with tools like Jira
• Experience with healthcare data is a plus

Education

• Bachelor’s degree in computer science.

Required Skills

• SQL expert
• Understanding of data governance considerations in a regulated environment
• Strong problem-solving and analytical skills
• Eagerness to learn
• Excellent communication and collaboration skills
• Ability to work independently and in a team environment

Salary plus benefits range includes $155k-$175k and a 10% target bonus
** Only applicants located in the following states may apply: AR, AL, AZ, CA, FL, GA, IL, KS, KY, MD, MA, MN, NC, OH, OK, PA, SC, TN, TX, WV, VA
Job Type: Full-time
Pay: $155,000.00 - $175,000.00 per year
Work Location: Remot

Essential Functions

• Design, build, and maintain data infrastructure, including databases, data lakes, and data warehouses.
• Work with product teams, business stakeholders, data scientists and application developer