At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In testing and quality assurance at PwC, you will focus on the process of evaluating a system or software application to identify any defects, errors, or gaps in its functionality. Working in this area, you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Services team you will maintain the integrity and quality of data through advanced testing and validation processes. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of data management. This role offers the chance to deepen your technical knowledge and enhance your personal brand in a dynamic environment focused on delivering client solutions. Responsibilities - Analyze intricate issues and develop impactful solutions - Mentor and guide junior team members in their professional growth - Cultivate substantial relationships with clients to understand their needs - Contribute to the delivery of exceptional client solutions - Foster a culture of continuous improvement and excellence What You Must Have - Bachelor's Degree - At least 8 years of experience What Sets You Apart - Certification(s) preferred: DAMA Certified Data Management Professional (CDMP), AWS Certified Data Engineer - Associate, SnowPro Core, ISTQB Test Analyst / Certified Big Data Tester (ATA), Informatica Data Quality (IDQ) or equivalent ETL tool certification - Demonstrating advanced SQL skills for data validation - Utilizing Python for test automation and data validation - Understanding enterprise data concepts and governance - Demonstrating experience with cloud platforms like AWS and Azure - Demonstrating a foundation in data modeling, including database schemas, normalization, and relational design - Demonstrating hands-on ETL testing experience, including AWS Glue job development, orchestration, and end-to-end data pipeline validation - Utilizing data ingestion and orchestration tools such as Qlik, Airflow, or Prefect - Understanding of industry standards for data and QA The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Managed Data, Analytics & Insights team you are expected to design and implement innovative solutions to build and manage the advanced Data ecosystem. As a Senior Associate you are responsible for analyzing complex problems, mentoring others, and maintaining top standards. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations and growing your personal brand and technical proficiency. Responsibilities - Designing and implementing innovative data solutions - Building and managing advanced data ecosystems - Analyzing complex problems and developing solutions - Mentoring and guiding junior team members - Maintaining exceptional standards in deliverables - Building and nurturing client relationships - Developing a deeper understanding of business contexts - Navigating complex situations to deliver quality work What You Must Have - Bachelor's Degree - 10 years of experience What Sets You Apart - Bachelor's Degree in Computer and Information Science, Information Technology preferred - Certification in industry-leading tools or technology for Data and Analytics - Leading data architecture and design implementations - Building advanced Data warehousing solutions - Delivering Managed Data and Analytics programs - Designing scalable data structures and pipelines - Building streamlined ETL/ELT processes - Maintaining Data Governance solutions - Experience with Data analytics tools The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Requisition Number: 2344881 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. The Principal Data Engineer is a senior individual contributor responsible for designing, building, and scaling enterprise data platforms and pipelines. This role emphasizes cloud based data architecture, data solutioning, and hands on development, supporting large scale data and analytics initiatives. You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, 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: - Lead the design and implementation of cloud based data architectures and data solutions - Build, optimize, and maintain scalable data pipelines on GCP or Azure - Provide hands on technical leadership in data platform and solution architecture - Work across cloud and on prem environments to support enterprise data needs - Collaborate with engineering and analytics teams to ensure data reliability, performance, and scalability - Guide junior engineers through technical mentorship and solution design reviews - Leverage enterprise approved AI tools to streamline workflows, automate tasks, and drive continuous improvement. - Ensure data quality, observability, lineage, and documentation (e.g., Great Expectations/DBT tests, Cloud Monitoring/Logging, Data Catalog) - Implement security, IAM, and compliance controls; manage access, encryption, and PII handling - Partner with Analytics/BI, Data Science, and Product teams to deliver trustworthy datasets and metrics - Troubleshoot and resolve data pipeline incidents, drive root cause analysis and preventive improvements - Contribute to data platform roadmaps, standards, and best practices 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: - 8+ years of experience in data engineering or related roles - Demonstrated experience designing and building data pipelines in enterprise environments - Proven solid hands on experience with cloud platforms (GCP preferred; AWS or Azure acceptable) - Experience with on prem and cloud based data architectures - Hands on experience with develop and optimize data models (databricks/snowflake or similar platform) and ELT/ETL workflows to support analytics and ML - Proven solid SQL and Python development skills for data processing and pipeline development, hands-on with Cloud Storage - Experience in Implementation of streaming and micro-batch solutions for near-real-time use cases - Demonstrated experience in Building CI/CD workflows for data pipelines and infrastructure-as-code using Terraform - Demonstrated solid understanding of data warehousing concepts, dimensional modeling, and ELT patterns - Experience with batch and streaming data processing at scale Preferred Qualifications: - Experience supporting large scale analytics or data platforms - Demonstrated familiarity with multi cloud or hybrid architectures - Experience working in enterprise scale environments - Reside in Minnesota *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 $112,700 to $193,200 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.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Responsibilities: - Collaborate with cross-functional teams including medical oncologists, research scientists, and engineers to develop and maintain clinical data models. - Translate customer needs and product requests into key concept definitions and business logic for complex models. - Facilitate integration of data model into workflows, applications, and data deliveries. - Structure and normalize data from a variety of sources, including Tempus curated data, EHR integrations, and lab systems. - Develop and maintain knowledge bases for clinical concepts. - Create and execute validation plans in conjunction with SMEs for new models and disease types. - Proactively monitor and support quality assurance and process improvement initiatives. - Monitor performance of production processes and recommend areas for improvement. Qualifications: - 5+ years of oncology data modeling experience. - Experience working with real world data from various sources (e.g., curation workflows, EHRs, lab systems, claims, research datasets). - Experience working with modern ELT tools such as DBT to maintain high volume, high velocity data warehouses - Experience working with standard medical terminologies (e.g., SNOMED CT, RxNorm, LOINC, ICD-9/10). Nice-to-haves: - Clinical background (MD/DO, PharmD, PA, NP, RN, etc.). - Familiarity with next-generation sequencing data. - Experience with real world data analysis in Python or R. - Participation in professional organizations (e.g., OHDSI, AMIA). #LI-BL1 We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.