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About the Role

As a Data Engineer - Senior Associate, you will design and build data infrastructure and systems for efficient data processing and analysis. You will develop and implement data pipelines, integration, and transformation solutions. This role involves building client connections, managing and inspiring others, navigating complex situations, growing your personal brand, and deepening technical skills. You are expected to anticipate team and client needs, deliver quality work, and embrace ambiguity as an opportunity for growth. Within the Technology Consulting practice, you will leverage advanced technologies to design robust data solutions, transform raw data into actionable insights, and drive business growth. You will generate new ideas, solve problems, and contribute to project strategy and objectives, developing a deeper understanding of the business context.

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

Requirements

At least a Bachelor's degree
At least 2 years of experience

Skills

Proficiency in data engineering platforms like Databricks
Experience with cloud platforms such as AWS and Microsoft Azure
Expertise in data architecture development and data modeling
Skills in implementing data pipeline and data integration strategies
Experience navigating complex data environments with Apache Hadoop and Airflow
Critical thinking to solve data-related challenges

Location

Remote
Hybrid

Work Type

Full-time
Contract

Experience Level

Senior Associate

Education Level

Bachelor's degree

Salary/Compensations

$77,000 - $202,000

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

About the Company

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.
PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

Equal Opportunity

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.