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UnitedHealth Group is a healthcare and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of
Role Description The Optum Clinical Platform (OCM) is a top five initiative aimed at providing a single medical management platform. OCM will enable clinical programs to meet their specific business needs while maintaining consistent case and individual health data across the continuum of care services across our enterprise. Our end-goal is to better nurture a lifelong relationship with our patients, members, clinicians, and partners to achieve the best health outcomes and lowest healthcare costs by connecting patients and providers simply and seamlessly across touchpoints of care. We will achieve this by: - Developing a clinical platform that enables reusability, improves speed to market, and reduces redundancy of systems across the enterprise to achieve cost containment. - Leveraging our platform offerings by allowing lines of business to select from existing products already built, allowing every line of business to seamlessly stitch together solutions to meet their custom end-to-end needs in a faster and cost-efficient manner. - Fostering collaboration by encouraging a federated model, allowing lines of business to build in a low code/no code environment, creating a simple way to turn business goals into reality. Primary Responsibility: - Design, build, and operate scalable ETL/ELT pipelines for structured and semi‑structured data across internal and external sources. - Develop cloud‑native data solutions on modern data platforms (e.g., Databricks lakehouse, Snowflake). - Apply data modeling, transformations, and enrichment to produce trusted, analytics‑ready datasets. - Ensure data quality, reliability, and auditability through validation, reconciliation, and monitoring. - Implement and follow enterprise data governance, security, and compliance standards. - Optimize data workloads for performance, cost efficiency, and operational reliability. - Support modernization efforts, including migration of legacy ETL pipelines to cloud‑native architectures. - Partner with product, analytics, and business stakeholders to translate requirements into production‑grade data solutions. - Enable downstream analytics, reporting, and AI/ML workloads through well‑designed data assets. - Apply software engineering best practices, including CI/CD, version control, testing, and code reviews. - Contribute to architectural discussions and mentor junior engineers. - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI. Qualifications - Bachelor's degree in Computer Science, Engineering or related field. - 5+ years of experience as a Data Engineer or in data platform/analytics engineering roles. - 3+ years of experience with SQL, data modeling, and data transformations. - 3+ years of hands‑on experience with Databricks and/or Snowflake and large‑scale data processing. - 3+ years of experience building ETL/ELT pipelines, data warehouses, and analytical data stores. - 3+ years of experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD). Requirements - Experience building enterprise-scale data platforms. - Strong skills in performance tuning and debugging large-scale pipelines. - Experience with real-time/streaming frameworks (Structured Streaming). - Ability to work in distributed, cross-functional global teams. - Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity. - Strong understanding of secure coding practices and vulnerability remediation. - Proven ability to analyze logs, troubleshoot production issues, and optimize performance. - Demonstrated capability to design and deploy AI-powered solutions responsibly. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements).
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.
Role Description The main function of a Data Entry Clerk is to operate data entry devices such as keyboards and computers to verify and input data accurately. The role requires maintaining documentation in Excel, managing tasks independently, reviewing source documents, and ensuring data integrity. - Reading source documents such as canceled checks, sales reports, and bills and entering data into specified systems. - Compiling, sorting, and verifying data accuracy prior to entry. - Locating and correcting data entry errors or escalating them to supervisors. - Comparing entered data against source documents to verify accuracy. - Maintaining logs of completed work and activities. - Managing documentation and ensuring accurate record-keeping. Qualifications - Data Entry - Attention to detail - Microsoft Word - Microsoft Excel - Strong communication skills - Time management Requirements - Expert Level experience - Contract position based out of Torrance, CA Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Company Description We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership.
Role Description We are looking for a Data Engineer to join a team of analytics and machine learning experts. The hire will be responsible for: - Building tooling to support analytics - Helping to extend our machine learning platform - Expanding and optimizing our data pipeline architecture - Supervising junior engineers - Interfacing with the Development team to create cross-team solutions The ideal candidate is an experienced data engineer and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Experience in analytics and statistics is a major bonus. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives, as well as mentoring and guiding junior members of the team. Qualifications - 3+ years of experience in a Data Engineer role - Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field - Advanced working SQL knowledge and experience with relational databases (including Postgres and MySQL) - Experience building data pipelines, architectures, and data sets from raw, loosely structured data - A history of focusing on test-driven design and results for repeatable and maintainable processes and tools - Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management - Working knowledge of message queuing, stream processing, and highly scalable data stores - Strong project management and organizational skills - Experience managing junior engineers and guiding a team through project planning, execution, and quality control stages Requirements - Experience with object-oriented design in Python - Experience with data pipeline and workflow management tools - Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3 Additional Pluses - Strong analytic skills and understanding of statistical methodologies - Experience building machine learning models - Experience handling data from acquisition to usage in models - Experience building and maintaining RestAPI systems, Flask apps, and state machines - Experience with continuous integration, especially in a data science context - Experience with Ruby on Rails Benefits - Competitive salary and benefits package - Flexible, remote work - Fun, fast-paced work environment - Dynamic start-up culture - Ability to make an immediate impact in a growth stage company - Convenient downtown Chicago office located in the heart of the city - Equal opportunity employer
United by the love of animals, National Veterinary Associates was founded in 1996 and describes itself as the largest owner of freestanding veterinary facilitie
Data and Configuration Specialist Location: Remote USA Full-time National Veterinary Associates Job Description Job Title: Permissions & Configuration Specialist About: National Veterinary Associates is one of the largest and most respected communities of veterinary hospitals in the world, operating nearly 1,000 hospitals in North America, including in all 50 states, and caring for 8,000,000+ animals annually. NVA is backed by JAB Holding, a leading private equity firm. Each person who joins NVA is motivated by our mission to provide excellent, accessible care to improve the lives of animals and the people who love them. NVA has been extremely successful over its 25+ year history and we’re very excited about our next chapter as we work toward our shared vision of revolutionizing the pet care experience to provide more fulfilling lives for pets, their companions, and our team. Position Overview: National Veterinary Associates (NVA) is seeking a Permissions & Configuration Specialist to support its mission of providing excellent, accessible care to improve the lives of animals and the people who love them. This role is dedicated to addressing post-go-live needs, specifically focusing on permissions management and configuration changes or updates. The specialist is responsible for ongoing support and ensuring the system remains aligned with evolving business requirements. Key Responsibilities: - Serve as the primary contact for permissions and configuration-related inquiries and issues that arise post-implementation. - Troubleshoot and resolve access, permissions, and configuration challenges to maintain operational continuity. - Work closely with stakeholders to understand and implement requested adjustments, ensuring alignment with established guidelines and policies. Key Competencies: System Configuration & Access Management - - Proficient in setting up, configuring, and managing system permissions to align with organizational policies and user needs. - - Ensures accurate role-based access control (RBAC) and other permission structures, safeguarding data integrity. - - Regularly reviews and updates permissions to accommodate evolving system requirements and user roles. - Data Security & Compliance - Prioritizes data security in all configurations, ensuring compliance with relevant regulations and best practices. - Conducts regular audits of permissions to identify and mitigate unauthorized access risks. - Maintains up-to-date knowledge of data privacy standards, implementing measures to protect sensitive information. - Technical Problem Solving & Troubleshooting - Demonstrates strong troubleshooting skills to quickly resolve configuration or access issues impacting system performance or user experience. - Analyzes and diagnoses complex configuration challenges, proposing effective solutions. - Continuously enhances technical skills to stay current with system updates and tools for permissions management. - Collaboration & Communication - Works closely with IT, security, and user teams to understand access needs and ensure smooth configuration processes. - Communicates clearly and effectively, providing guidance on access policies and procedures. - Builds strong relationships with cross-functional teams to support seamless collaboration on system configuration and permissions. Qualifications: - Bachelor's degree in Healthcare Administration, Information Technology, Computer Science, or a related field. - Experience in veterinary or healthcare systems implementation or hospital operations preferred - Demonstrated skill in setting up, configuring, and managing permissions to meet user needs while safeguarding system integrity and aligning with security policies. - Proven ability to conduct regular reviews and update permissions to accommodate changes in system requirements, user roles, or organizational policies. Why You’ll Love Working Here: The people. You will be surrounded by talented, supportive, smart, and kind leaders/teams - people you will be proud to work with and who also have fun. The business. We work for the love of animals and the people who love them. We enjoy driving a successful business while living our values and our “why”. The opportunity. Your days and projects will offer variety with the opportunity to gain operational, cross-functional, and executive leadership exposure as a trusted internal business partner. You would have the opportunity to help build and shape a fast-growing, global company within a high-growth, exciting industry. Compensation & FLSA Status: Base salary: $80,000-90,000 FLSA: Exempt, salaried Temporary: This role is projected to last 12 to 18 months, dependent on business needs. The role is eligible for benefits. National Veterinary Associates is a leading global pet care organization united in the love of animals and the people who love them. At NVA, we’re on a mission to improve the lives of pets and the people who love them. That starts by empowering our care teams. We nurture their growth with resources to practice medicine their way. Our network of 1,000 hospitals connects them to a community of professionals who share their passion so they can learn and grow together. Our national presence enables us to deliver technology and innovations that simplify work and expand care for all. At NVA, we're committed to your professional growth. We support your entire career journey, offering opportunities ranging from mentorship to ownership. At National Veterinary Associates, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us: • We’ll always reach out via verified LinkedIn profiles or emails ending in @nva.com • We may also contact you via text message from an identified NVA representative for recruiting-related communication • All job opportunities and applications are hosted on our official careers site: careers.nva.com • There is no cost or confidential information required to apply or be considered for a position If you have any doubts about a communication, feel free to visit our careers page to verify authenticity or email us at hiringhub@nva.com. Thank you for exploring opportunities at NVA! NVA offers a comprehensive benefits program including medical, dental, vision, a 401k with employer match, and paid time off (including sick time) for all eligible employees. The team can provide more information about compensation and benefits for your specific location during the process. For positions based in Colorado, NVA provides eligible employees with paid sick and safe leave and public health emergency leave in accordance with the requirements of Colorado's Healthy Families and Workplaces Act. NVA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. Location: Remote - USA, United States
Role Description The Sr. Fabric Technical Data Architect reports to the CIO, in the IT Department. This role is responsible for designing, building, and operationalizing the company’s Microsoft Fabric-based data platform and lakehouse architecture. This role owns the technical execution layer of the enterprise data program, translating business data models into scalable, governed, and high-performing solutions. It works in close partnership with the Sr. Data & Solutions Architect, who owns the business information model, data strategy, and the definitions of what the data means. This role owns how that model is built and run: the platform architecture, pipelines, governance, and operations that bring it to life. Together, this partnership is critical to evolving from an MVP data platform to a sustainable, in-house enterprise data capability supporting reporting, analytics, and future AI initiatives. Responsibilities - Fabric Platform Architecture - Design and manage end-to-end Microsoft Fabric architecture, including: Lakehouse structure (Bronze / Silver / Gold); Workspace and environment strategy (Dev / UAT / Prod); and Data integration and orchestration patterns. - Define and enforce technical standards for scalability, performance, and cost efficiency. - Establish architectural roadmaps aligned to analytics and business objectives. - Data Engineering & Integration - Build and maintain data ingestion pipelines across systems (D365 F&O, CRM, Fabrication, Service, etc.). - Implement transformation logic to produce curated, reporting and analytics-ready datasets. - Establish consistent patterns for moving data from source → lakehouse → semantic layer in batch, streaming, and real-time patterns. - Ensure alignment between technical models and the defined business information model. - Enable reliable, performant datasets for Power BI and downstream analytics. - Governance, Security & Operations - Establish and enforce data governance frameworks, including: data quality standards; metadata and cataloging; and lineage and observability. - Define and manage security and access controls across data platform components. - Support evolution toward a formal data governance and ownership model. - DevOps & Delivery - Own deployment pipelines, CI/CD processes, and release management for Fabric. - Enable structured incremental delivery supporting testing, UAT, and production stabilization. - Platform Expansion & Future Readiness - Expand the platform beyond core ERP data into additional enterprise systems. - Ensure data architecture is AI-ready (clean, governed, accessible). - Continuously optimize for performance, cost, and usability. - Evaluate and recommend new technologies and tools aligned with strategic direction. Qualifications - Background in industries with complex operational data (construction, fabrication, or project-based environments). - Experience with: - Supporting analytics, reporting, and AI use cases. - Semantic modeling and analytics platforms (e.g., Power BI). - Data cataloging, lineage, and metadata management tools. - Exposure to AI/ML data platform design or analytics enablement. - Experience leading or mentoring technical teams. - Ability to operate effectively in MVP → scale/maturity transitions. Requirements - Bachelor's degree (B. S.) in Software Engineering, Computer Science, Information Systems, Data Science, Mathematics, from a four-year college or university or equivalent combination of technical training and/or related field experience. Benefits - Competitive pay with bonus opportunities. - Medical, prescription, dental & vision coverage with zero to low weekly premiums. - 401(k) with discretionary company match. - Generous paid time off (vacation, sick time, and paid holidays). - Disability income protection. - Life insurance for employees and eligible dependents. - Optional added protection with critical illness and accident plans. - Career growth & development opportunities. - In-house training programs. - Certificate & tuition reimbursement. - Wellness program. - Employee Assistance Program (EAP).
• Design, build, and own the data pipelines that move and transform data from our application and third-party sources into relational databases - keeping them reliable and well-modeled as volume and complexity grow • Partner with analytics engineering to build the data models and reporting that give researchers and teams real visibility into how their work is performing • Own data quality as a first-class concern across ingestion, modeling, and reporting. Catch problems before they reach a model, a dashboard, or a user, and fix them • Build and ship production AI systems the data infrastructure and services that ML features run on • Design and own evaluation systems that tell us whether an AI feature is ready to ship and holding up over time: eval harnesses, test datasets, and production monitoring built as software, not one-off analyses • Set the standard for how data work gets done. Write clearly, share context early, and make the people around you faster
Role Description We are looking for an experienced Data Engineer to join a growing data and analytics team focused on building modern, cloud-based data solutions. This role will be responsible for designing, developing, and optimizing scalable data platforms that support enterprise reporting, analytics, and data-driven decision making. The ideal candidate has hands-on experience with Microsoft's Azure Data Platform and a strong understanding of data engineering best practices, including data governance, data quality, and data management. Key Responsibilities - Design, develop, and maintain scalable data pipelines and ETL/ELT processes. - Build and optimize data solutions using Azure cloud technologies. - Develop data ingestion, transformation, and integration processes from multiple data sources. - Create and maintain data models that support reporting, analytics, and business intelligence initiatives. - Develop reusable and high-performance data workflows using SQL and Python. - Collaborate with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to translate requirements into technical solutions. - Enhance data architecture through automation, optimization, and performance improvements. - Support CI/CD processes and deployment pipelines for data engineering solutions. - Build and maintain datasets that support enterprise reporting and analytics platforms. - Troubleshoot production data issues and perform root cause analysis. - Participate in code reviews and contribute to engineering best practices. Qualifications - Strong experience with SQL development. - Experience building and maintaining enterprise-scale data pipelines. - Hands-on experience with Microsoft Azure (MUST). - Experience with Azure Synapse Analytics. - Experience with Azure Databricks. - Experience with Azure Data Factory. - Experience with Azure Data Lake. - Strong Python programming skills. - Experience with source control and CI/CD methodologies. - Experience working with large datasets and distributed data processing. - Understanding of data modeling and modern data architecture principles. - Experience with data integration and transformation processes. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. - Experience with Azure cloud services and data platform technologies. - Experience with Azure Kubernetes Service (AKS). - Experience with Kubernetes. - Experience using Ansible for infrastructure automation and configuration management. - Experience creating and maintaining technical documentation using Markdown. - Experience with Azure DevOps (ADO) for source control, work item management, and CI/CD pipelines. - Experience with GitHub and Git-based development workflows. - Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate, and Power Pages). - Experience with Ontology Engineering and semantic data modeling. - Experience writing queries using SPARQL. - Experience writing queries using Cypher. - Experience developing and consuming GraphQL APIs. - Experience designing and working with graph databases and knowledge graph solutions. Preferred Qualifications - Experience with Power BI datasets and reporting solutions. - Experience with data governance frameworks and data quality initiatives. - Understanding of enterprise data management practices. - Exposure to Big Data technologies. - Experience working within Agile environments. - Ability to collaborate effectively with both technical and business teams.
Role Description The Senior Data Engineer role at Spring Venture Group is an opportunity to work at the intersection of data pipelines, data modeling, analytics, AI/ML enablement, and modern cloud-native platforms, with Snowflake as your foundation. We are looking for someone who is excited to move away from building every pipeline from scratch and toward designing data products and AI-powered applications. As automation and platform capabilities advance, you will evolve from a traditional builder into a strategic architect of data-driven solutions. Essential Duties - Modern Data Platform & AI Enablement - Build advanced data pipelines utilizing the Medallion Architecture to create high-quality data sources in Snowflake. - Leverage AI-assisted development tools to reduce manual pipeline work and explore emerging Snowflake capabilities like Cortex to support AI/ML-enabled workflows. - Build Data Applications that contribute to interactive experiences, including Streamlit-based apps, transforming Snowflake from a warehouse into a full-service data platform. - Create robust data pipelines using AWS technologies to serve specific business needs. - Data Modeling & Business Impact - Design and evolve analytical data models that support BI, advanced analytics, and AI workloads. - Partner directly with Analytics and Data Science teams to translate complex business questions into well-structured, modular data assets. - Write complex Python/SQL scripts and stored procedures to ensure 99.95% uptime and optimize query performance for downstream consumption. - Leadership & Engineering Excellence - Serve as a primary advisor to the Data Management team to identify opportunities for technical improvements and automation. - Act as a leader for junior and mid-level engineers, providing direction on programming best practices, query optimization, and business tact. - Architect replacements for legacy systems with a focus on data governance and maintainable documentation, including flowcharts and clear code comments. - Support after hours and weekend releases from our internal Software Development teams. - Actively participate in code review and weekly technicals with another more senior engineer or manager. - Assist departments with time-critical SQL execution and debug database performance problems. Qualifications - Bachelor's degree in Computer Science, or a related technical field. - 4-5 years of practical production work in Data Engineering. - Expertise of the Python programming language. - Expertise of Snowflake. - Expertise of SQL, databases, & query optimization. - Must have experience in a large cloud provider such as AWS, Azure, GCP. - Advanced at reading code independently and understanding its intent. - Advanced at writing readable, modifiable code that solves business problems. - Ability to construct reliable and robust data pipelines to support both scheduled and event-based workflows. - Working directly with stakeholders to create solutions. - Mentoring junior and mid-level engineers on best practices in programming, query optimization, and business tact. Preferred Experience - Experience building or supporting Streamlit applications or similar data-driven apps. - Familiarity with Snowflake Openflow for data ingestion and orchestration. - Exposure to Snowflake Cortex or AI/ML-enabled analytics workflows. - Background in analytics engineering (dbt-style modeling, semantic layers, metrics design). Benefits - Competitive compensation. - Medical, Dental and Vision benefits after a short waiting period. - 401k matching program. - Generous paid time off program with an additional company break during the holidays. - Annual Volunteer Time Off (VTO) and a donation matching program. - Life Insurance. - Employee Assistance Program (health & well-being on and off the job). - Rewards and Recognition. - Maternity and Parental Leave. - Training program and ongoing support throughout your entire Spring Venture Group career. - Diverse, inclusive & welcoming culture. - Optional enrollment options include HSA/FSA, AD&D, Spousal/Dependent life insurance, Short Term/Long Term Disability, Travel Assist, and Legal plans.
• Define and evolve the Accelerant Data Platform by gathering stakeholder requirements. • Identify opportunities to deliver value through data-driven solutions enabling Risk Exchange efficiency. • Collaborate with Product Managers, Engineers, and Designers to deliver high-quality solutions. • Develop and own roadmap for data ingestion and consumption with Outcome and Key Results (OKRs). • Communicate strategy and platform outcomes to various levels within the company.
Improving people’s lives by harnessing the healthcare data explosion through an intelligent data integration platform.
• Architect Enterprise‑Scale Data Solutions: Design, build, and evolve high‑volume batch and real‑time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks. • Own Platform‑Level Integrations: Develop end‑to‑end ingestion and transformation frameworks integrating Databricks, Snowflake, AWS services (such as S3, SQS, Lambda), and external data provider APIs, with a strong focus on data quality, lineage, and schema evolution. • Lead Technical Design for Clients: Serve as the technical lead for complex client implementations, defining highly available, fault‑tolerant architectures across multi‑account cloud environments. • Translate Business Needs into Architecture: Convert complex business and regulatory requirements into scalable technical designs, detailed specifications, and reusable engineering patterns. • Set Engineering Standards: Establish and champion best practices across CI/CD, code quality, testing, orchestration, monitoring, logging, and observability for data platforms. • Ensure Security & Compliance: Design and implement security‑first data solutions, including RBAC, encryption, PHI handling, auditability, and alignment with HIPAA and SOC 2 requirements. • Optimize Performance & Cost: Profile and tune compute workloads, cluster configurations, partitioning strategies, indexing, and caching across Databricks and Snowflake environments. • Provide Technical Mentorship: Mentor senior and junior engineers, conduct design and code reviews, and raise the overall technical bar across teams. • Produce Technical Artifacts: Create clear documentation, including architecture diagrams, runbooks, and operational standards that support scalable delivery.
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SQL, Python, AI/ML, CI/CD, AWS, ETL
