Data Engineer

This is a hybrid position with occasional in-office days in Plano, TX.

Job Summary

The Data Engineer will help our communities thrive by contributing to the expansion of the platform by analyzing, architecting, and engineering data pipelines. We are a culture that is unabashedly driven by purpose. We are making a difference to our patients and providers while growing at an accelerated rate.

Every day, we support the health journey of patients by authentically living our core values: Purpose Driven, Relationships Matter, Serve Others First, and Inspire Creativity. If you love serving others and would like to make a material difference in an industry-transforming organization, then we invite you to apply to this role. We are recognized as one of the Top 100 Places to Work by The Dallas Morning News, and we have been awarded as one of the fastest-growing privately held companies by SMU Cox.

Accountabilities

• Analyzes, architects, and engineers data pipelines and integration activities to support analytical data products and the overall Data Platform.
• Interfaces with business customers to bridge the gap between business needs and technology solutions throughout the analytics product lifecycle
• Supports Clinical, BI, Finance, Accounting, and Care management teams by providing robust data solutions

Role and Responsibilities:

• Participates in various Data Engineering activities, including pipeline design, data ingestion, integration, cleansing, mapping, store architecture, transformation, tuning, testing, and data quality.
• Contributes to the expansion of the platform through data flow development, workload management, requirement gathering, data architecture/structures/schemas, orchestration, and metadata/lineage.
• Collaborates with senior Data Engineers, Business Intelligence developers, and analysts to design scalable data pipelines and architectures for reports, dashboards, and advanced analytics products.
• Align data architectures with business requirements and building data pipelines that interface well with on-premise systems/applications and modern data sources (APIs, web data sources, real-time/streaming, unstructured data, etc.).
• Build in-depth knowledge across subject areas and capture documentation for end-to-end data flows/lineage.
• Possesses excellent analytical skills and a track record of conveying complex data concepts effectively for storytelling and influencing decision-making..

Minimum Qualifications and Requirements:

• Bachelor's Degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 2 years of experience as a Data Engineer, Integration Developer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred
• OR Minimum of 4 years of experience as a Data Engineer, Database Developer, BI Developer, ETL/ELT Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
• Minimum of 2 years of experience in Information Technology required.
• Demonstrated experience in SQL coding, data integration, data modeling (relational and/or data warehouse context), data pipeline and ETL/ELT design and development.
• Data warehouse experience including end to end data warehousing methodology, relational and dimensional design/modeling, architecture, implementation, security, and support/maintenance.
• Experience with Microsoft SQL Server platforms and Microsoft BI stack (SSIS, SSAS, SSRS, Power BI).
• Ability to perform troubleshooting on SQL Server, Windows Server, IIS, etc.
• Coding proficiency in at least one modern programing language (Python, C#, Java, Spark, etc.) preferred.
• Experience with modern data ingestion and transformation technologies such as Matillion, ADF, Talend, dbt, etc as well as traditional data integration/management tools such as SSIS, Informatica, etc.
• Familiarity with modern cloud-based data platforms, data lake/data warehouse technologies such as Snowflake, Azure Synapse, AWS, Redshift, etc. preferred.
• Familiarity with business intelligence tools (Power BI, Tableau, etc.).
• Experience with Agile, Jira, Azure DevOps delivery methodologies
• Experience with Version control, Git preferred,
• Comfortable with ambiguity, experimentation, and rapid iteration.

Preferred Experience:

• Experience working with healthcare specific applications and data systems (Electronic Health Record, Payer data, pharmacy systems, etc.), business systems (ERP, CRM, etc.) and digital platforms preferred.
• Minimum of 2 years of experience in a Health Care environment preferred.
• Azure certification(s) a plus and may be required upon hire or within six months of hire date based on the primary responsibilities/focus of the role.
• Microsoft certification(s) and/or Snowflake a plus.
• Other relevant Data Engineering certification(s) a plus.