Data Engineer - Senior Associate

Posted 16 Hours Ago
67 Locations
Remote or Hybrid
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.
Summary Generated by Built In
The Opportunity
As a Data Engineer - Senior Associate, 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 build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges
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
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Skills Required

  • Bachelor's degree
  • At least 2 years of experience
  • Proficiency with Databricks
  • Experience with AWS
  • Experience with Microsoft Azure
  • Experience with Azure Data Factory
  • Experience building data pipelines and integrations
  • Experience with Apache Airflow
  • Experience with Apache Hadoop
  • Experience building/managing data lakes and data warehouses
  • Data architecture development and data modeling skills (including dimensional modeling)
  • Understanding of data security best practices and data validation/testing

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • 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.
  • 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.
  • 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.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

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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