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About the Role
The Data Engineer focuses on the implementation, maintenance, and architecture of the MHealth Fairview data environment, leveraging data tools to acquire, restructure, and store enterprise data. This role participates in planning, designing, and deploying enterprise data strategies by analyzing business needs and translating them into long-term data models. The Data Engineer also supports daily operations by monitoring data pipelines, troubleshooting errors, and managing data access for security and HIPAA compliance. This role works independently to design, document, and develop solutions, operating under an SDLC model with peer reviews. Candidates should have experience in requirements gathering, a logical and analytical mindset, excellent customer service skills, and familiarity with healthcare data.
Responsibilities
- Implement effective large, complex database and/or platform solutions and models to store and retrieve data based on architecture design.
- Define and implement data strategies, policies, and controls to ensure accurate, complete, secure, trusted, and reliable enterprise data.
- Apply leadership skills with IT, business owners, and end users to define and document business, technical, and operational requirements.
- Champion initiatives to help the organization understand and improve data consistency, quality, and flows.
- Capture, cleanse, and transform data to provide insight and actionable recommendations independently.
- Assess database implementation procedures to ensure compliance with internal and external regulations.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Recommend solutions to improve new and existing database systems and data pipelines.
- Introduce and advocate for industry best practices of modern data warehouses such as customer-centric, adaptable, automated, elastic, governed, and secure.
- Prepare accurate database design and structure documentation for management and executive teams.
Requirements
- B.S./B.A. or Associate of Science certification of associate degree in a related field, or equivalent combination of education and work experience.
- 3 years of experience in data analysis and/or data architecture.
- 3 years of experience with various data models; Kimball, Inmon, and vaults.
- 3 years of experience with SQL (PL/SQL or T-SQL).
- Ability to read and write complex queries joining multiple data sets.
- Ability to write and troubleshoot stored procedures.
- Ability to analyze SQL execution plans and create appropriate indexes on tables with poorly performing queries.
- 3 years of experience with database principles, processes, and technologies along with working knowledge of Extract, Transform, and Load (ETL) principles, processes, technologies, and tools.
- 3 years of experience in application development, data analysis, data consolidation, or data management/governance.
- Advanced knowledge of Azure platform/data tools such as Azure Data Lake, Azure Data Factory, Azure Synapse, Power BI, DevOps, Databricks, and other associated technologies.
- Advanced knowledge of Amazon Web Service tools such as Redshift, BigQuery, Looker, and other associated technologies.
- Knowledge of or experience with data quality tools and data governance tools.
- Experience implementing and maintaining continuous integration/continuous delivery (CI/CD) processes.
- Experience in multiple data modeling methodologies such as Data Vault and Kimball Dimensional Modeling for both structured and unstructured data.
- Excellent technical and interpersonal communication skills.
- Strong organizational and time management skills.
- Ability to effectively manage and organize multiple projects and responsibilities.
- Strong quantitative and analysis skills.
- Ability to think creatively and work collaboratively to address problems.
- Master of Science in Computer Science, MIS, Data Engineering or another relevant field.
- Experience with multiple RDBMS platforms (SQL Server, Oracle, etc.).
- Experience with SSIS/Data Factory or other ETL tools.
- Familiarity with development methodologies, including AGILE development approaches.
- Experience with reporting Systems Development Lifecycle (SDLC) within an enterprise Electronic Health Record (EHR).
- Experience with cloud technologies; Azure (Synapse, Hyper-scaled SQL Server, etc) and/or AWS.
Skills
- Data analysis
- Data architecture
- Data models (Kimball, Inmon, vaults)
- SQL (PL/SQL or T-SQL)
- Complex query writing
- Stored procedure writing and troubleshooting
- SQL execution plan analysis
- Index creation
- Database principles
- ETL principles, processes, technologies, and tools
- Application development
- Data consolidation
- Data management
- Data governance
- Azure Data Lake
- Azure Data Factory
- Azure Synapse
- Power BI
- DevOps
- Databricks
- Redshift
- BigQuery
- Looker
- Data quality tools
- Data governance tools
- CI/CD processes
- Data Vault modeling
- Kimball Dimensional Modeling
- RDBMS platforms (SQL Server, Oracle)
- SSIS
- AGILE development methodologies
- EHR systems
Location
- Remote
- Hybrid
- Onsite
Work Type
- Full-time
Experience Level
- 3 years of experience in data analysis and/or data architecture
- 3 years of experience with various data models
- 3 years of experience with SQL
- 3 years of experience with database principles, processes, technologies
- 3 years of experience in application development, data analysis, data consolidation, or data management / governance
Education Level
- B.S./B.A. or Associate of Science certification of associate degree in related field, or equivalent combination of education and work experience
- Master of Science in Computer Science, MIS, Data Engineering or another relevant field
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability insurance
- Long-term disability insurance
- PTO
- Sick and Safe Time
- Tuition reimbursement
- Retirement plan
- Early access to earned wages
About the Company
- MHealth Fairview data environment
- Fairview offers a generous benefit package
Equal Opportunity
- EEO/Vet/Disabled: All qualified applicants will receive consideration without regard to any lawfully protected status