Title: Data Engineer
Duration: 6 month initial contract duration (likely extension/conversion to FTE)
Location: Bloomington, MN (hybrid 1-4x/week)
Pay rate: $60-80/hr
- 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 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:
- Experience with Oracle ERP
- Knowledge of health care operations
- Knowledge/experience of basic accounting principles
- 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 Optimizing and tuning SQL/Oracle queries, stored procedures, and triggers.
- 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.)
The projected pay range for this position is $60-80/hr. 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.