Title: Data Engineer Health Plan Duration: CTH Location: Hybrid in Bloomington, MN
Role Focus:
Extract data from Databricks for routing; build tools (possibly using Streamlit) to support enrollment and claims workflows.
Required Qualifications:
Bachelor s degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field. Alternate experience and education in equivalent areas such as economics, engineering or physics is acceptable.
Two (2) years' experience in a hands-on data engineering role (a master s degree is acceptable in lieu of experience)
Two (2) years experience with Python and/or R data science programming languages
Two (2) years experience with SQL (e.g., PL/SQL or PySpark SQL) relational database [BCM1] programming language(s).
Experience with CI/CD and version control tools (Git preferred).
Demonstrate understanding of data modeling techniques such as Star-/Snowflake-Schema, denormalized data modeling, 3NF etc.
Demonstrate understanding working with data formats such as Parquet, Avro, Delta, CSV, JSON, etc.
Demonstrate understanding about data processing techniques like full-batch processing, time-based partitioning, distributed- and real-time processing etc.
Demonstrate strong data profiling and analytic skills; ability to discover and highlight unique patterns/trends within data to identify and solve complex problems.
Must be motivated, self-driven, curious, and creative.
Must be a skilled communicator and demonstrate an ability to work with end users and partners.
Demonstrate the ability to support and complement the work of a diverse development and/or operations team.
Preferred Qualifications:
Knowledge of health care operations
Exposure to Agile/Scrum
Experience with a hybrid cloud environment consisting of an on-premises and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets.
Experience with Relational databases like Oracle, SQL Server
Experience with Python (numpy, pandas, matplotlib etc.) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation
Experience in areas of CI/CD, continuous testing, and site reliability engineering.
Familiarity in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps.
Familiarity working with Document or NoSQL datastores, particularly MongoDB.
Familiarity in Power BI data models using advanced Power Query and DAX
Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)
Responsibilities:
All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
Collaborate with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand.
Collaborate with other developers to design technology solutions that achieve measurable results at scale.
Help design and develop scalable, efficient data pipeline processes to manage data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets for analysts and data scientists.
Utilize development best practices including technical design reviews, implementing test plans, monitoring/alerting, peer code reviews, and documentation.
Collaborate with cross functional team to resolve data quality and operational issues and ensure timely delivery of products.
Incorporate core data management competencies including data governance, data security and data quality.
Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
Assist Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Perform other duties as required, to meet team sprint goals.
The projected hourly range for this position is $70 to $80.
On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.
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