Data Engineering & Operations Manager

UNITE HERE HEALTH serves 190,000+ workers and their families in the hospitality and gaming industry nationwide. Our desire to be innovative and progressive drives us to develop impactful programs and benefits designed to engage our participants in managing their own health and healthcare. Our vision is exciting and challenging. Please read on to learn more about this great opportunity!

The Data Engineering & Operations Manager plays a pivotal role in the alignment of the business vision, technology/data strategy and leads the development of data platforms, data products, and analytics platforms at UNITE HERE HEALTH. They will be responsible for defining overall database structure, data models, and right technology stack for the digital health data & analytics platform.

Working closely with IT, Analytics engineering, and reporting teams you will be responsible for designing and implementing robust data solutions that meet our business objectives while ensuring compliance with industry-leading data privacy standards. You will collaborate closely with cross-functional teams to drive data architecture decisions, implement best practices, and contribute to the success of our projects. We are a fast-growing team and are looking for someone who is a builder and problem solver.

ESSENTIAL JOB FUNCTIONS AND DUTIES

• Manages the Data Engineering & Platform Operations to support enterprise data platform and engineering responsibilities and projects
• Assures accuracy and quality of data and platform deliverables, champions process improvements and automation leveraging support from other functions as needed
• Helps train and educate business partners, and fosters collaboration
• Advocates to secure the technologies and IT support needed to maximize productivity and solve for data-related obstacles the team encounters
• Lead the architecture design of a reusable and modular data & analytics platform building architecture that enables efficient, consistent, automated value generation from data
• Design the end-to-end data flow, data pipelines that consist of ingesting and processing data from various source systems (e.g. digital products, enterprise data systems)
• Develop and implement data standards, best practices, and technologies for data governance, management, and quality assurance
• Ensure compliance with regulatory requirements such as HITRUST, HIPAA, GDPR, ISO, SOC-II, etc.
• Manage relationships with third-party technology vendors and data providers to ensure data quality, accuracy, and security
• Provide expertise in data architecture, design, development, and operations, and recommend emerging technologies in data management
• Design strategies for high availability, disaster recovery, and backup, and maintain solutions for data modeling, ETL/API, data analytics, and metadata management
• Implement practices to ensure data accuracy, validity, consistency, usability, and quality, and maintain technologies for configuration, change, and release management
• Design and implement scalable data architectures leveraging modern cloud platforms, and select appropriate data storage, processing, and querying technologies
• Stay current with industry data privacy regulations and standards, design and implement security measures, and work closely with cross-functional teams to translate requirements into effective data solutions
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka to build and maintain complex queries, streaming and real-time data pipelines
• Enable automation and improvements in data operations and support functions
• Design and implement scalable, high-performance data architectures leveraging modern cloud platforms (e.g., AWS, Azure, GCP)
• Demonstrates the Fund’s Diversity and Inclusion (D&I) principles in their conduct at work and contributes to a safe inclusive culture with equitable opportunities for success and career growth

ESSENTIAL QUALIFICATIONS

• 10+ years of experience in data management, engineering and operations
• 7+ years of experience in designing both ETL/ELT for batch processing and data streaming architectures for real-time data ingestion and processing
• 5+ years of hands-on architecting and managing Could-based Data Engineering/Analytics platforms (Azure Data Factory, Snowflake, Fabric, Databricks, Redshift)
• 5+ years of experience in data engineering for medical claims, pharmacy claims, and eligibility data, healthcare EDI transactions (837, 835, etc.) and/or Lab Data
• 5+ years of experience in Azure analytics stack including PowerBI dataflows, datasets, lakehouses and warehouses
• Bachelor’s degree in Healthcare, informatics, Computer Science, Economics, or related field or equivalent work experience (Master’s degree preferred)
• Experience in designing and building APIs, API based data ingestion processes, release management and automated CI/CD processes
• Experience in implementing data governance including Master Data Management solutions using tools like Informatica, Profisee, Reltio etc.
• The ability to travel 5-10%

Salary range for this position: Salary $113,600 - $142,000. Actual base salary may vary based upon, but not limited to: relevant experience, qualifications, expertise, certifications, licenses, education or equivalent work experience, time in role, peer and market data, prior performance, business sector, and geographic location.

Work Schedule (may vary to meet business needs): Monday~Friday, 7.5 hours per day (37.5 hours per week) as a remote working opportunity.

We reward great work with great benefits, including but not limited to: Medical, Dental, Vision, Paid Time-Off (PTO), Paid Holidays, 401(k), Pension, Short- & Long-term Disability, Life, AD&D, Flexible Spending Accounts (healthcare & dependent care), Commuter Transit, Tuition Assistance, and Employee Assistance Program (EAP).

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