OrthoNebraska creates the inspired healthcare experience all people deserve by giving people a direct path to personalized care and life\-enhancing outcomes. With a focus on safety and people, we set the bar high in providing high\-quality care with an unmatched experience. Our team members are critical to our success and growth and are rewarded for their dedication and hard work. IF this sounds like the type of team and environment you want to be a part of apply today!
Position Summary: The Data Engineer leverages data engineering to make a meaningful impact in healthcare.
Position details
Status
Full\-Time
Shift
Days
FTE / Hours
1\.0 / 40
Schedule
Mon \- Fri: Five 8\-Hour Shifts
Position Requirements
Education: Bachelor's or higher degree in Computer Science, Information Technology, Engineering, or a related field. Master's degree preferred.
Licensure: N/A
Certification: N/A
Experience: 3\+ years of experience in data architecture or data engineering roles preferred. Exposure to financial and operational data, medical records, and information management systems preferred.
Required Knowledge/Skills/Abilities
Strong analytical skills, with experience in data manipulation, performance measurement.
Excellent communication, presentation, and interpersonal skills, with the ability to engage and inform multidisciplinary teams.
Proven time management skills, with the ability to manage multiple priorities and meet deadlines.
Excellent problem\-solving and critical\-thinking abilities, with a keen attention to detail.
Experience with building data pipelines via ETL tools (e.g. Azure Data Factory).
Familiarity with data platforms like such as Snowflake or Databricks is highly desirable.
Proficiency in programming languages such as Python, SQL, or R is preferred.
Experience with cloud computing platforms like AWS, Azure, or Google Cloud preferred.
Understanding of MLOps best practices for version control and product deployment preferred.
Knowledge of data modeling, data warehousing, and data integration techniques preferred.
Strong understanding of healthcare data standards, privacy regulations (e.g., HIPAA), and security best practices preferred.
Essential Job Functions
Data Platform Development
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Assist in the setup, testing, and optimization of internal data platform.
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Validate data integrity between source systems and the data platform.
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Actively monitor and contain cloud resource utilization and expense through code efficiencies and deploying optimal solutions.
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Support the principle of least privilege through the implementation of best practice RBAC and ABAC data and asset access policies.
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Design, implement, and maintain enterprise framework, ensuring optimal performance and scalability.
Data Engineering
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Lead in the design and optimization of data pipelines to integrate data.
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Support the migration of existing analytics workflows and reports to the new data platform.
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Develop ETL/ELT processes to extract, transform, and load data from multiple sources into data warehouses.
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Monitor, troubleshoot, and enhance existing data workflows and queries for reliability, efficiency and performance improvements.
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Ensure the security and privacy of healthcare data by implementing and maintaining compliance with industry regulations such as HIPAA.
Collaboration
- Collaborate with cross\-functional teams, including leadership, clinicians, and data professionals, to design and implement data\-driven solutions.
Communicate findings and recommendations to stakeholders to drive informed decision\-making.
Build and maintain strong working relationships with stakeholders to address evolving healthcare information needs.
Work closely with IT and data governance teams to establish and enforce data quality standards and best practices.
Promote data literacy and a self\-service approach to data, enabling stakeholders to access information they need.
Contribute to multiple projects supporting organizational objectives using project management and process improvement skills.
Provide data support and feedback for various initiatives, including ongoing metrics and dashboards, performance improvement efforts, and business case analysis.
Professional growth and development
Stay current with advancements in healthcare industrytechnology, data engineering, cloud technology and regulatory requirements
Seek opportunities for continuous skill and competency development.
Explore innovative analytical and machine learning tools with the goal of improving existing processes.
Support the planning, implementation, and monitoring of processes and systems to optimize data workflows.
Identify ways to improve services provided to the organization (e.g., technology enhancements, improved information delivery, integration of disparate data sources, automation).
Take advantage of opportunities to attend classes, workshops, seminars, and conferences to expand knowledge and skills in healthcare analytics.
Contribute to DataAnalytics leadership by fostering growth and development of data engineering.
Other duties as assigned
Physical requirements: This position is classified as Light Work in the Dictionary of Occupational Titles, requiring the exertion of up to 20 pounds of force frequently, and/or a negligible amount of force constantly (66% of the time) to move objects. Physical Demand requirements are more than those for Sedentary Work.