
201 - 500 employees
Founded 2000
💼 Consulting
🏥 Healthcare
🛡️ Insurance
💰 Private Equity Round on 2018-09
Consulting • Healthcare • Insurance
The Phia Group, LLC is a dedicated provider of healthcare cost containment solutions, focusing on empowering self-funded health plans to maximize benefits and minimize costs. Through a comprehensive suite of services, including subrogation and recovery, claims negotiation, and cost transparency initiatives, The Phia Group aims to help employers and families navigate the complexities of healthcare with advocacy and expertise. Their commitment to improving healthcare accessibility and affordability sets them apart in the industry.
🕒 April 29
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 2000
💼 Consulting
🏥 Healthcare
🛡️ Insurance
💰 Private Equity Round on 2018-09
Consulting • Healthcare • Insurance
The Phia Group, LLC is a dedicated provider of healthcare cost containment solutions, focusing on empowering self-funded health plans to maximize benefits and minimize costs. Through a comprehensive suite of services, including subrogation and recovery, claims negotiation, and cost transparency initiatives, The Phia Group aims to help employers and families navigate the complexities of healthcare with advocacy and expertise. Their commitment to improving healthcare accessibility and affordability sets them apart in the industry.
• Build, maintain, and optimize data pipelines utilizing Azure Data Factory • Implement monitoring, alerts, and testing of data pipeline performance • Troubleshoot data issues and perform root cause analysis • Document data structures, processes, architectural decisions, and best practices • Develop, maintain, and optimize Snowflake objects and SQL transformations • Collaborate with analysts, stakeholders, and product owners • Enable data for AI/ML use cases • Support deployment and operationalization of machine learning models • Continually improve ongoing reporting and analytics
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience • 5+ years of experience in data engineering or business intelligence roles working with ETL, data modeling, data architecture, and developing pipelines and applications for analytics • Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation • Experience supporting or working with AI/ML workflows • Understanding of model lifecycle concepts • Expertise working with Snowflake for data warehousing • Proficiency with Git, Azure DevOps, and collaborative development best practices
• Health insurance • Employee wellness programs • Flexible work arrangements
Apply Now🕒 April 28
Data Engineer developing scalable data pipelines for LLMs and ML models in healthcare. Collaborating with teams to ensure data quality, compliance, and advanced data engineering practices.
🕒 April 26
Senior Data Engineer designing and operating low-latency data pipelines for Avaya’s large enterprise contact center solutions. Collaborating across teams and enhancing data for AI-driven insights.
🇺🇸 United States – Remote
💵 $128.2k - $157k / year
💰 Post-IPO Debt on 2022-06
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
🕒 April 24
Data Platform Engineering Manager leading a team in building real-time streaming infrastructure at Kraken. Owning architecture and fostering AI-driven automation for data systems.
🕒 April 24
Sr. Manager, Mechanical Engineer at SB Energy developing and standardizing engineering standards for data centers. Leading a team of engineers in enhancing mechanical and plumbing systems design and execution.
🇺🇸 United States – Remote
💵 $160k - $190k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
🕒 April 22
Data Engineer responsible for designing and developing data pipelines for video advertising campaigns. Collaborating with a senior data engineer and a high-output team to shape data architecture.