Enabling a high-quality and viable healthcare system
Director, Data Engineering – Artificial Intelligence
Location
United States
Posted
1 day ago
Salary
$190K - $225K / year
Seniority
Lead
Job Description
Director, Data Engineering – Artificial Intelligence
Cotiviti
• Oversee the data engineering efforts in ensuring that Cotiviti is able to provision scalable, reliable data pipelines from the various backend data sources to the cloud platform, applying best-in-class cloud-native technologies (AWS, Azure, or GCP) and modern frameworks including Spark, Kafka, dbt, Databricks, and the Cloudera/Hadoop ecosystem. • Lead and manage a team of data engineers in delivering quality code and building data products and use cases, fostering a culture of engineering excellence, accountability, and continuous improvement across multiple functional squads. • Ensure the organization follows best practices in data architecture and engineering standards so that pipelines are established with reusable, scalable engineering patterns aligned to data mesh principles and enterprise platform engineering. • Influence the vision for the data engineering platform in creating data products that power multiple use cases and projects — including AI/ML use cases, Analytics and BI use cases, and LLM-powered Agentic use cases — collaborating closely with Architecture and Product Management teams to shape the data product roadmap. • Establish a metrics- and KPIs-driven approach to measure the work done by the data engineering team, track business value of data products created, and monitor, measure, and continuously improve team performance and throughput. • Influence solution architecture of AI/ML and Agentic AI solutions, collaborating with Data Science, Product, and line-of-business teams to ensure data infrastructure is AI-ready, including feature store availability, embedding pipelines, vector databases, and real-time serving capabilities. • Ideate and lead Proof of Concepts and MVPs that advance Cotiviti's data engineering posture in the rapidly evolving landscape of AI, generative AI, and agentic systems. • Identify and monitor key business risks related to realizing the data needs of the business, communicating risks and mitigation strategies proactively to VP- and C-suite stakeholders. • Evangelize strong data engineering patterns and practices throughout the organization by communicating the vision and use cases of advanced analytics, data products, and AI-enabled capabilities to both technical and non-technical audiences. • Hire, develop, coach, lead, and retain top-tier talent, with a focus on building and improving a team and culture that employs best-in-class practices to drive high levels of internal and external customer satisfaction. • Complete all responsibilities as outlined in the annual performance review and/or goal setting. Complete all special projects and other duties as assigned.
Job Requirements
- Bachelor's degree and 12+ of professional experience required in a data engineering, analytical, or information specialist role within a corporate or consulting setting; experience in healthcare, life sciences, or a related industry strongly preferred
- Deep understanding of data engineering architectures, technologies, and platforms focused on large-scale data management and AI applications, including cloud-native platforms such as Databricks, GCP, and AWS, as well as the Cloudera/Hadoop ecosystem
- Strong foundation and point of view on generative AI techniques like LLMs and Agentic architectures in solving data engineering problems
- Proven expertise in designing and implementing enterprise data architectures on cloud platforms, with hands-on fluency in ETL/ELT, data modeling, data integration, and the modern data stack (Spark, dbt, Kafka, Airflow)
- Deep understanding of data governance, data quality, and data security best practices, including HIPAA compliance and handling of sensitive healthcare and claims data in a discretionary manner
- Strong foundation and clear point of view on generative AI techniques — including LLMs and Agentic architectures — and how they apply to solving data engineering problems at enterprise scale
- Demonstrated ability to solve complex business problems by creating scalable data products that surface insights from both structured and unstructured data, including the ability to create examples, prototypes, and demonstrations that help leadership better understand the work
- Proven ability to lead and manage large data engineering teams (15+ Data engineers), including hiring, developing, coaching, and retaining top-tier talent with a focus on high performance and customer satisfaction
- Proficiency at planning and setting meaningful objectives aligned to organizational goals; ability to articulate, promote, and implement strategic plans while managing multiple concurrent projects, shifting priorities, and firm deadlines
- Exceptional written, verbal, and interpersonal communication skills with the ability to identify and articulate business challenges, project objectives, and engineering approaches to both technical and non-technical audiences, including executive stakeholders
- Strong initiative, self-motivation, and ability to work autonomously while also leading and collaborating within large cross-functional teams in a customer-service-oriented environment
Benefits
- medical, dental, vision, disability, and life insurance coverage
- 401(k) savings plans
- paid family leave
- 9 paid holidays per year
- 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer - Remote
OptumOptum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
Requisition Number: 2370459 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Within UHG Trend Analytics, the Data Engineering function is predominantly involved in developing business solutions by creating new and modifying existing healthcare data enrichment applications. As a Sr. Data Engineer, you will apply your expertise across the data engineering SDLC, with a strong emphasis on designing and optimizing scalable ETL pipelines and workflows. You will serve as a key contributor in delivering reliable, high-performance data applications that support large-scale healthcare datasets from multiple source systems. You'll be joining a high-performing team recognized as leaders in healthcare cost analytics. This role offers the opportunity to make a meaningful impact by delivering high-quality data solutions in a fast-paced, SLA-driven environment while helping shape the future of our data platforms. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, develop, and optimize scalable ETL/data pipelines across platforms such as SQL Server, Snowflake, and Databricks - Work with large, complex healthcare datasets (e.g., claims, membership, provider data), supporting enrichment, transformation, and reconciliation processes - Support recurring production cycles in a fast-paced, SLA-driven environment, including monitoring, validation, and issue resolution - Lead and support critical production issue resolution, including root cause analysis and implementation of corrective actions - Partner with business stakeholders, analysts, and actuaries to translate complex requirements into reliable data solutions - Conduct code reviews and promote best practices to ensure high-quality, maintainable solutions - Provide accurate and timely estimates for development and support work - Ensure data accuracy and integrity through validation, reconciliation, and quality controls - Serve as a technical leader within the team by contributing to design decisions, standards, and continuous improvement efforts - Collaborate with team members to meet or exceed service level agreements and delivery commitments Note: This role includes a mix of development and production support responsibilities. You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 6+ years of data engineering work experience - 6+ years of experience designing and developing ETL/data pipelines - 6+ years of experience working across the full software development lifecycle (SDLC) - 3+ years of experience working with cloud-based data platforms such as Snowflake, Azure, and/or Databricks - 3+ years of experience in Python - Solid hands-on experience writing and optimizing complex SQL in enterprise-scale environments - Proven ability to work with large, complex datasets and deliver scalable, high-performance solutions Preferred Qualifications: - Experience developing ETL Processes using Microsoft SQL Server Integration Services (SSIS) - Experience with additional programming languages such as .NET - Experience working with healthcare data, including medical, pharmacy, or administrative claims - Experience writing and executing functional and technical specifications - Familiarity with data modeling concepts and data warehousing principles - Demonstrated proficiency with database design, querying, optimization, and troubleshooting in Oracle, SQL Server, and/or Teradata - Demonstrated proficiency in database design, querying, optimization & troubleshooting with any of the following RDBMS: Oracle, SQL Server, and/or Teradata - Proven ability to be self-motivated and be able to work both independently and in a team environment *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
Role Description A dedicated and skilled professional is required to fill the position of Data Entry Specialist at Folium Medical Device. As an essential member of our team, the Data Entry Specialist will play a pivotal role in our organizational operations by updating and maintaining our expansive databases, systems, and platforms. - Accurately input, validate, and maintain a large volume of data in various databases, ensuring that all data is up-to-date and easily accessible. - Regularly review and edit data to eliminate duplication, errors, and inconsistencies. - Collect and gather data from multiple sources, analyzing them for patterns and trends that could improve our operational efficiency and effectiveness. - Collaborate with team members across the organization to understand their data needs and ensure they receive accurate and timely reports. - Conduct system tests and troubleshooting to resolve data, system, and performance issues. - Maintain data privacy, complying with company policies and applicable laws. Qualifications - At least 2 years of proven work experience in a data entry role, preferably in the healthcare industry. - Proficient with MS Office Suite (particularly Excel) and database systems. - Strong ability to type swiftly and accurately. - Excellent attention to detail with the ability to spot numerical errors. - Ability to multitask, prioritize tasks, and meet deadlines. - Good communication and collaboration skills, able to work with various team members across the company. - A high school degree or equivalent; further education in a relevant field is a plus. Benefits - Opportunity to work in a dynamic and innovative healthcare technology company. - Competitive salary package, including health insurance and retirement benefits. - Professional and personal growth through skills development programs and education opportunities. - Folium values work-life balance with flexible working hours and paid time off. - A diverse and inclusive culture, making Folium a great place to work.
Digital Properties Data Engineer 2
Apex SystemsApex Systems, an IT staffing and workforce solutions firm, provides recruiting and staffing services to large and small companies alike. Founded in 1995 by thre
Title: Digital Properties Data Engineer 2 Location: Saint Louis United States Job Description: Job#: 3037544 Job Description: REMOTE Digital Properties Mid-level Data Engineer - Must currently reside in one of the following states: AL, AZ, FL, GA, ID, IL (excludes Cook County), IA, IN, KS, KY, LA, MD, MI, MO, NV, NM, NC, OH, OK, PA, SC, TN, TX, UT, VA, WV, WI Overview: As a Digital Properties Data Engineer 2, you will leverage your technical expertise to solve business problems and contribute to complex initiatives. This role requires a strong understanding of data engineering and DevOps practices, with the ability to serve as a subject matter expert in your area of focus. You will evaluate technology effectiveness through requirements gathering, testing, research, and analysis, and provide recommendations to improve quality and efficiency. You will collaborate with technical leadership, engineers, and architects to design, develop, and enhance the data and application technology stack. This role also requires ownership of deliverables, adherence to deadlines, and alignment with established standards, processes, and performance metrics. The ideal candidate is a strong communicator, self-driven, and capable of working independently. This individual will lead the implementation of tools and solutions supporting DevOps and API development in a fast-paced, dynamic environment, with a focus on continuous integration and delivery. Key Responsibilities: - Design, build, and maintain development tools and infrastructure aligned with architectural direction - Partner with stakeholders to understand requirements, define solutions, and drive initiatives forward - Automate and enhance development and release processes - Develop and test code (unit and integration) to ensure performance, quality, and compliance with requirements - Troubleshoot and resolve issues in production environments to ensure system reliability - Collaborate with team members and leadership to meet development standards - Build and maintain CI/CD pipelines (e.g., GitHub Actions) using languages like Groovy and Python - Diagnose and resolve CI/CD issues by analyzing logs and system metrics - Review and analyze code written by others to ensure quality and performance - Support multiple API versions, failover strategies, high availability, and deployment patterns (e.g., blue/green) - Work with AWS services such as Elastic Beanstalk, ALB/ELB, Auto Scaling, CloudWatch, ElastiCache, CodeBuild, CodeDeploy, Lambda, etc. - Integrate with APIs and tools including Artifactory, Confluence, JIRA, GitHub, ServiceNow, SonarQube, Black Duck, and WhiteHat - Develop scripts (Bash, Python, Groovy) to support automation and integrations - Write and review Terraform scripts and monitor Terraform execution logs Required Qualifications: - 3+ years of experience in DevOps, data engineering, or related engineering roles - 2+ years of experience with cloud automation - Strong communication skills across varying levels of technical expertise - Proven troubleshooting skills with the ability to resolve issues independently - Experience with Agile methodologies (Scrum) and tools such as JIRA and Confluence - Experience working within the Software Development Lifecycle (SDLC) - Hands-on experience with AWS or similar cloud platforms - Proficiency with scripting languages such as Bash, Shell, Groovy, and/or Python - Experience with object-oriented programming (e.g., Java) - Experience with API gateways (e.g., Kong) - Experience building and maintaining CI/CD pipelines (GitHub, Maven/Gradle, GitHub Actions) - Experience with infrastructure configuration tools (Terraform, Chef, Puppet, or Ansible) - Experience with AWS Lambda and serverless architectures - Knowledge of software design principles, architecture, and design patterns - Experience with SQL for querying and managing data - Ability to communicate technical solutions, guide others, and formalize proposals - Strong problem-solving skills with the ability to identify root cause and drive resolution - Ability to collaborate effectively in a remote environment - Flexibility to adapt to changing priorities and requirements - Commitment to incorporating security into daily responsibilities Preferred Qualifications: - Bachelor's degree in Computer Science, Information Systems, or a related field - Experience with Amazon API Gateway - Familiarity with AWS SAM - Basic knowledge of Snowflake Data Cloud - Understanding of enterprise data warehouse concepts - Exposure to frameworks such as Quarkus - Experience developing applications at scale - Familiarity with Atlassian tools (JIRA, Confluence) and ServiceNow - Knowledge of clean code practices and reusable code design - Experience with performance tuning in cloud environments - Understanding of networking, load balancing, and high availability concepts - Knowledge of DevOps trends, tools, and emerging technologies - Experience with containerization (Docker) and orchestration (Kubernetes) - Proficiency with Microsoft Office tools (Word, Excel, Visio) Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.apexsystems.com/privacy-policy Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems. Employee Type: Contract Location: St. Louis, MO, US Job Type: Date Posted: June 9, 2026 Pay Range: $50 - $59 per hour Similar Jobs - Digital Data Analyst (CJA) - FULLY REMOTE - Data Specialist 2 - Engineer 2 - Digital Analyst - Digital QA Engineer - SDET
Data Engineer – Healthcare Analytics
GuidehouseSolving big problems, building trust in society, and empowering our clients to shape the future.
• Support the design and development of an enterprise Contract Performance Analytics platform for a large healthcare system • Focus on data architecture, ELT/ETL pipeline development, and integration of clinical, claims, and operational data into a scalable analytics ecosystem • Build a unified data system that enables insights across value-based care contracts (MSSP, Medicare Advantage, Commercial, and Employer Health Plans) • Integrate EHR cloud-based data processing and an enterprise data warehouse to support analytics and reporting • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load healthcare data from diverse structured and unstructured sources • Develop pipelines to process data from CMS and payer files (CCLF, paid claims, PUG) as well as Epic (Caboodle, Clarity) data models and extracts • Build and optimize data models to support analytics, reporting, and operational use cases, including BI and downstream analytics consumption • Transform raw data into standardized, analytics-ready canonical data models and curated data marts • Build lakehouse/medallion architecture, data ingestion patterns, and orchestration frameworks • Implement and maintain CI/CD pipelines for data engineering workflows, including pipelines and scheduled jobs, using version control and automation tools • Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers • Ensure data quality, integrity, and accuracy through validation, monitoring, logging, and alerting • Support data migration, integration, and modernization initiatives, including legacy system upgrades, optimization of large-scale ETL pipelines, query performance, and cloud adoption efforts • Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines • Document data flows, pipelines, test cases, and technical solutions to support knowledge sharing and compliance requirements • Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms



