Data Engineer - Senior Associate at pwc

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

202000.0

Posted On

07 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Solutions, Data Integration, Data Transformation, Data Architecture, ETL Processes, Data Quality, Data Analytics, Visualization Tools, RDBMS, NoSQL, Azure Infrastructure, Data Models, Mentoring, Client Relationships, Problem Solving

Industry

Professional Services

Description

Industry/Sector Not Applicable Specialism Data Engineering Management Level Senior Associate Job Description & Summary 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 Travel Requirements Up to 40% Job Posting End Date 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 To view other PwC job opportunities, visit https://jobs.us.pwc.com. Do not click on the "Search for Jobs" button. Are you ready to make a difference? 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.

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Responsibilities

As a Senior Associate, you will analyze complex problems and mentor junior team members while navigating the intricacies of data architecture and management. You will contribute to the overall success of the Data and Analytics Engineering team by designing and implementing innovative data solutions.