As a Managed Services - Data Engineer - Experienced Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role at PwC, you will apply a learning mindset and take ownership of your development, appreciating diverse perspectives and adopting habits to sustain performance. You will actively listen, ask questions to check understanding, and clearly express ideas. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This position offers a dynamic environment where every experience is an opportunity to learn and grow, allowing you to build a brand for yourself and open doors to more opportunities.
Responsibilities
- Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
- Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
- Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
- Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
- Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
- Engaging in continuous process improvement to enhance data quality and integrity
- Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
- Participating in the development of business cases and market development strategies through data analysis and interpretation
- Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Python and Java programming languages
- Utilizing data visualization tools like QlikView and Spotfire
- Developing business intelligence solutions using Oracle BI
- Engaging in data architecture development and management
- Applying macroeconomic and microeconomic analysis skills
- Excelling in data analysis and interpretation techniques
The salary range for this position is: $63,000 - $140,000. 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
Skills Required
- Bachelor's degree
- 1+ years of experience
- Data engineering and ETL
- SQL and SQL optimization
- IBM DataStage
- Oracle Business Intelligence
- QlikView
- DB2
- SQL Server
- Data architecture and dimensional modeling (star schemas, snowflake models)
- Job scheduling and UNIX
- Proficiency in Python
- Proficiency in Java
- Spotfire (data visualization)
- Preferred fields of study: Computer/Information Science, Economics, Statistics, Engineering, Operations Research
- Macroeconomic and microeconomic analysis skills
PwC Compensation & Benefits Highlights
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Leave & Time Off Breadth — Two firmwide week‑long shutdowns each year in the US and a broad menu of paid and unpaid leaves add structured downtime beyond standard vacation. Flexible work options provide additional avenues to step away when client needs permit.
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Parental & Family Support — Paid parental leave is 12 weeks for all parents, with a four‑week phased return at 60% time on full base pay. Family‑forming and caregiving supports span infertility coverage, cryopreservation, adoption/surrogacy reimbursements, and nursing‑parent resources.
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Wellbeing & Lifestyle Benefits — Mental‑health and wellness resources include EAP, coaching, Headspace/Calm, Talkspace, and fitness programs. These offerings underscore a sustained emphasis on well‑being alongside core health coverage.
PwC Insights
What We Do
Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.
Why Work With Us
At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.
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