Come join a company that streamlines the healthcare revenue cycle!
Must live in one of the following states: Alabama, Arkansas, Arizona, Florida, Georgia, Illinois, Indiana, Kansas, Kentucky, Maryland, Massachusetts, Minnesota, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, or West Virginia.
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
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: Remote
Job Type: Contract
Pay: $120,000.00 - $135,000.00 per year
Work Location: Remote
