Data Engineering - Operations Manager

Job not on LinkedIn

May 9

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

💵 $136k - $142k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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UNITE HERE HEALTH

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Healthcare Insurance • Non-profit • Social Impact

UNITE HERE HEALTH is a national health fund that collaborates with local unions and employers to provide health benefits and resources aimed at improving the health and healthcare of its participants. Serving approximately 200,000 children and adults nationwide, UNITE HERE HEALTH focuses on offering high-quality, affordable healthcare solutions and aims for better service through innovation and participant engagement.

201 - 500 employees

⚕️ Healthcare Insurance

🤝 Non-profit

🌍 Social Impact

📋 Description

• 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)

🎯 Requirements

• 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%

🏖️ Benefits

• 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 • Employee Assistance Program (EAP)