Data Solutions Engineer

2 weeks ago

Austin, Texas, United States Highmark Health Full time
Job Summary

This role is responsible for designing and implementing data solutions for the enterprise, working closely with business, analytic, and IT stakeholders to develop and maintain these solutions.

The incumbent will be responsible for coding data ingestion pipelines, transformations, and delivery programs/logic for people and systems to access data for operational and/or analytic needs.

Key responsibilities include coding, testing, and implementation of ingestion and extraction pipelines, transformation and cleansing processes, and processes that load and curate data in conformed, fit-for-purpose data structures.

Key Responsibilities
  • Design, build, and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms.
  • Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise.
  • Implement and support operational and analytic platforms, including products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers.
  • Code, test, implement, and maintain scalable and extensible frameworks that support data engineering services.
  • Align with security, data governance, and data quality programs by contributing to assigned components of metadata management, data quality management, and the application of business rules.
  • Develop and maintain associated data engineering processes and participate in required operating procedures as part of the enterprise's overall information management activities.
Requirements
  • Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science, or related field.
  • 3 years of Data platform development, data engineering, software development, or data science experience.
  • 1 year of Big Data or cloud data platform experience.
  • Preferred qualifications include 1 year of Google Cloud Platform, AWS, Azure, or other cloud platform experience, 1 year of Spark or Python experience, 1 year of Data science, AI & machine learning engineering experience, and 1 year of Healthcare Industry experience.
Skills
  • SQL
  • Data Warehousing
  • Problem-Solving
  • Communication Skills
  • Analytical Skills
Preferred Skills
  • Tableau
  • Alteryx, Dataiku, or other data analytics tools
Travel Requirements

0% - 25%

Physical, Mental Demands, and Working Conditions

Office-Based

Teaches/trains others regularly

Rarely

Travel regularly from the office to various work sites or from site-to-site

Does Not Apply

Works primarily out-of-the office selling products/services (sales employees)

Never

Physical work site required

No

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