Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.
The Opportunity
As a Managed Services - Senior Data Engineer - Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role, you will analyze and identify the linkages and interactions between the component parts of an entire system, taking ownership of projects to validate their successful planning, budgeting, execution, and completion.
Responsibilities
- Leading data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration)
- Developing and implementing innovative data solutions using advanced analytics techniques (DataStage)
- Managing and mentoring teams to enhance their skills and deliver quality client services (pipeline architecture)
- Utilizing business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift)
- Building and maintaining data pipelines and architectures to support analytics initiatives (DB2, SQL Server)
- Collaborating with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC)
- Overseeing the deployment of scalable data visualization and reporting solutions (performance tuning)
- Promoting the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)
- Addressing and resolving conflicts or issues with clients and team members, escalating when necessary
- Upholding professional and technical standards, including adherence to the firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Business Intelligence and Reporting Tools (BIRT)
- Utilizing Python and Java for data engineering tasks
- Excelling in data visualization with QlikView and Spotfire
- Developing data architecture and pipeline strategies
- Embracing continuous process improvement in data analytics
- Leading teams in data-driven decision-making processes
The salary range for this position is: $99,000 - $232,000. 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
As a Managed Services - Senior Data Engineer - Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role, you will analyze and identify the linkages and interactions between the component parts of an entire system, taking ownership of projects to validate their successful planning, budgeting, execution, and completion.
Responsibilities
- Leading data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration)
- Developing and implementing innovative data solutions using advanced analytics techniques (DataStage)
- Managing and mentoring teams to enhance their skills and deliver quality client services (pipeline architecture)
- Utilizing business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift)
- Building and maintaining data pipelines and architectures to support analytics initiatives (DB2, SQL Server)
- Collaborating with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC)
- Overseeing the deployment of scalable data visualization and reporting solutions (performance tuning)
- Promoting the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)
- Addressing and resolving conflicts or issues with clients and team members, escalating when necessary
- Upholding professional and technical standards, including adherence to the firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Business Intelligence and Reporting Tools (BIRT)
- Utilizing Python and Java for data engineering tasks
- Excelling in data visualization with QlikView and Spotfire
- Developing data architecture and pipeline strategies
- Embracing continuous process improvement in data analytics
- Leading teams in data-driven decision-making processes
The salary range for this position is: $99,000 - $232,000. 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
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
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