Designs and maintains scalable data pipelines, integration workflows, data lakes, and engineering platforms using AWS, InterSystems Ensemble, HL7, CCDA XML, and MySQL. Responsibilities include transforming and validating clinical data, optimizing queries, supporting analytics, solving complex client data challenges, and mentoring junior engineers. The role also involves client collaboration, critical thinking, Agile delivery, and adherence to professional and technical standards.
The Opportunity
As a Managed Services - Ensemble Integration Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
In this role, you will be part of our Data, Analytics & AI Managed Services, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will uphold professional and technical standards, using a broad range of tools and methodologies to generate new ideas and solve problems.
Responsibilities
- Designing and implementing scalable data pipelines using Agile methodologies and Amazon Web Services (AWS)
- Integrating and transforming data from various sources to support analytical processes and decision-making
- Validating data integrity and optimizing queries for efficient data processing and analysis
- Building and maintaining data infrastructure, including data lakes and engineering platforms, to enable seamless data integration
- Collaborating with teams to develop innovative solutions for complex data challenges
- Utilizing MySQL and other database technologies to enhance data storage and retrieval capabilities
- Applying analytical thinking to interpret data and generate actionable insights for clients
- Navigating complex situations to anticipate client needs and deliver quality solutions
- Upholding professional and technical standards in alignment with the firm's code of conduct and independence requirements
- Mentoring junior team members to foster growth and development within data engineering projects
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Developing and maintaining clinical integration workflows and HL7 message routing in InterSystems Ensemble
- Transforming source-specific HL7 messages into standardized enterprise structures
- Maintaining CCDA XML pipelines for clinical data extraction, validation, and routing
- Demonstrating proficiency in Amazon Web Services (AWS) and data engineering platforms
- Utilizing Agile methodologies to enhance scalability and team collaboration
- Excelling in data integration, transformation, and validation processes
- Leveraging MySQL for efficient query optimization and data management
- Building meaningful client connections and anticipating their needs
- Navigating complex situations with critical thinking and problem-solving skills
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
As a Managed Services - Ensemble Integration Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
In this role, you will be part of our Data, Analytics & AI Managed Services, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will uphold professional and technical standards, using a broad range of tools and methodologies to generate new ideas and solve problems.
Responsibilities
- Designing and implementing scalable data pipelines using Agile methodologies and Amazon Web Services (AWS)
- Integrating and transforming data from various sources to support analytical processes and decision-making
- Validating data integrity and optimizing queries for efficient data processing and analysis
- Building and maintaining data infrastructure, including data lakes and engineering platforms, to enable seamless data integration
- Collaborating with teams to develop innovative solutions for complex data challenges
- Utilizing MySQL and other database technologies to enhance data storage and retrieval capabilities
- Applying analytical thinking to interpret data and generate actionable insights for clients
- Navigating complex situations to anticipate client needs and deliver quality solutions
- Upholding professional and technical standards in alignment with the firm's code of conduct and independence requirements
- Mentoring junior team members to foster growth and development within data engineering projects
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Developing and maintaining clinical integration workflows and HL7 message routing in InterSystems Ensemble
- Transforming source-specific HL7 messages into standardized enterprise structures
- Maintaining CCDA XML pipelines for clinical data extraction, validation, and routing
- Demonstrating proficiency in Amazon Web Services (AWS) and data engineering platforms
- Utilizing Agile methodologies to enhance scalability and team collaboration
- Excelling in data integration, transformation, and validation processes
- Leveraging MySQL for efficient query optimization and data management
- Building meaningful client connections and anticipating their needs
- Navigating complex situations with critical thinking and problem-solving skills
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
PwC Seattle, Washington, USA Office
1420 Fifth Avenue Suite 2800, Seattle, WA, United States, 98101
PwC Seattle, Washington, USA Office
1420 Fifth Avenue Suite 2800, Seattle, Washington , United States, 98101
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
