IT Services - Assurance Devops Application Support Senior Associate (san Antonio, TX)

Senior Associate, Data and Analytics Engineering

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.

This position will be part of PwC IT Services (US) LLC, a member of the PwC network of firms. PwC IT Services (US) LLC provides technology services to other PwC member firms. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Please see www.pwc.com/structure for further details.

Job 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.

Job Description: 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.

Job Requirements and Preferences:

Basic Qualifications: Minimum Degree Required (BQ): High School Diploma Minimum Year(s) of Experience: 2 year(s)

Preferred Qualifications: Preferred Knowledge/Skills: DNU

DevOps The Opportunity As part of the Data and Analytics Engineering team you will take ownership of your development while applying a learning mindset to enhance your skills. As a Senior Associate you will analyze complex problems, mentor others, and maintain exceptional standards while building meaningful client connections and navigating increasingly complex situations. This role offers the chance to deepen your technical knowledge and grow your personal brand in a dynamic environment.

Responsibilities - Mentor junior team members to foster their growth - Navigate complex situations with confidence and clarity - Enhance technical knowledge to support project objectives - Contribute to a collaborative and dynamic team environment.

What You Must Have - High School Diploma - At least 2 years of experience

What Sets You Apart - Commitment to personal development and learning mindset - Appreciating diverse perspectives and needs - Sustaining habits for maintaining peak performance - Actively listening and expressing ideas clearly - Seeking and reflecting on feedback - Analyzing information from various sources - Developing commercial awareness of the business - Upholding professional and technical standards.

This is a U.S. based role and PwC IT Services (US) LLC does not intend to hire external job seekers who will need, now or in the future, PwC IT Services (US) LLC sponsorship through the H-1B lottery.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements Up to 20%

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date All qualified applicants will receive consideration for employment at PwC IT Services (US) LLC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC IT Services (US) LLC is proud to be an equal opportunity employer. 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. We offer a comprehensive, flexible and competitive benefits program. It provides access to programs that can be tailored to meet the personal health and financial well-being needs of our employees and their families. Our benefits include medical, dental and vision coverage, health savings accounts; mental health support, family and caregiver support, a robust time off policy inclusive of sick, vacation and holiday time; and a retirement savings plan with Roth features and company match.