PwC Logo

PwC

Data Engineer - Senior Associate

Reposted 2 Hours Ago
Hybrid
6 Locations
77K-202K Annually
Mid level
Hybrid
6 Locations
77K-202K Annually
Mid level
The role involves designing and developing data solutions, mentoring junior staff, building client relationships, and navigating complex data architecture.
The summary above was generated by AI
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, 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.
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 Data and Analytics Engineering team you will design and implement innovative data solutions that drive business insights. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of data architecture and management. This role offers a unique opportunity to deepen technical knowledge and enhance your personal brand in a dynamic and collaborative environment.
Responsibilities
- Mentor and guide junior team members in their development
- Navigate the complexities of data architecture and management
- Utilize a variety of methodologies to generate insights
- Contribute to the overall success of the Data and Analytics Engineering team
What You Must Have
- Bachelor's Degree
- At least 3 years of experience
What Sets You Apart
- Bachelor's Degree in Computer and Information Science, Management Information Systems, Software App preferred
- Having extensive experience with RDBMS (SQLServer, Azure SQL, PostgreSQL), NoSQL (MongoDB) and/or other database technologies (Couchbase, Neo4j)
- Analyzing and building data models and transformation routines
- Recognizing patterns in data relationships across systems
- Developing and documenting ETL and data integration processes
- Creating scalable data integration solutions using iPaaS tools
- Addressing performance and data quality issues
- Conceptualizing Azure infrastructure and design architecture
- Having an understanding of ODS, data warehouse, data mart, and data cube, and database technologies
- Demonstrating knowledge of data analytics and visualization tools
Learn more about how we work: https://pwc.to/how-we-work
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.
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.
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.
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

Top Skills

Azure
Azure Sql
Couchbase
MongoDB
Neo4J
NoSQL
Postgres
Rdbms
Sqlserver

PwC San Francisco, California, USA Office

405 Howard Street Suite 600, San Francisco, CA, United States, 94105

PwC San Jose, California, USA Office

488 Amaden Boulevard, San Jose, CA, United States, 95110

Similar Jobs at PwC

2 Days Ago
Hybrid
37 Locations
77K-202K Annually
Mid level
77K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.
Top Skills: AWSAzureEtl ToolsIbm MdmSql Databases
4 Hours Ago
Hybrid
58 Locations
77K-202K Annually
Mid level
77K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves developing data-driven strategies, aligning client goals with analytics, and implementing cloud data solutions using various platforms.
Top Skills: AbinitioAWSAzureDatabricksDbtGoogle Cloud PlatformHadoopIicsKafkaMatillionPower BIPythonSap BodsScalaSnaplogicSnowflakeSparkSQLSsisTableauTeradataTerraform
4 Hours Ago
Remote or Hybrid
69 Locations
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.
Top Skills: SQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account