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Jobs · South Carolina

Data Engineer - Manager

PwC · Spartanburg, SC · 2 mo ago
Hybrid$99k–$232k/yrFull-time

About the role

PwC's data and analytics engineering team focuses on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Our managers play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Responsibilities

  • Design and implement thorough data architecture strategies
  • Lead the development of data models
  • Achieve compliance with data governance policies
  • Collaborate with business stakeholders to translate data requirements into technical solutions
  • Evaluate and recommend new data technologies and tools to enhance data architecture
  • Build, maintain, and improve ETL/ELT pipelines for data ingestion, processing, and storage
  • Manage data warehouses and data lakes, verifying data is organized and accessible
  • Maintain and improve data quality rules using DQ tools and/or other ETL/ELT tools
  • Implement scalable data storage solutions using AWS, Azure, and GCP services
  • Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services
  • Monitor and troubleshoot data pipelines, data warehouses, and workflows to ensure data quality, system reliability, performance, and cost management
  • Implement IAM roles and policies to manage access and permissions within AWS, Azure, and GCP
  • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
  • Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines
  • Implement data security practices using AWS, Azure, GCP, Snowflake, or Databricks
  • Improve cloud resources for cost, performance, and scalability
  • Proficient in SQL and experience with relational databases
  • Proficient in programming languages such as Python, Java, or Scala
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka
  • Experience with machine learning and data science workflows
  • Knowledge of data governance and data security practices
  • Demonstrated analytical, problem-solving, and communication skills
  • Ability to work independently and as part of a team in a fast-paced environment
  • Modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures
  • Collaboration and contribution as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification, and feedback
  • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance

Requirements

  • Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
  • 5 years of experience

Qualifications

  • Designing and implementing thorough data architecture strategies that meet the current and future business needs
  • Developing and documenting data models, data flow diagrams, and data architecture guidelines
  • Verifying data architecture is compliant with data governance and data security policies
  • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions
  • Evaluating and recommending new data technologies and tools to enhance data architecture
  • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage
  • Managing data warehouses and data lakes, verifying data is organized and accessible
  • Maintaining and improving data quality rules using DQ tools and/or other ETL/ELT tools
  • Implementing scalable data storage solutions using AWS, Azure, and GCP services
  • Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services
  • Monitoring and troubleshooting data pipelines, data warehouses, and workflows to ensure data quality, system reliability, performance, and cost management
  • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, and GCP
  • Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments
  • Using AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines
  • Implementing data security practices using AWS, Azure, GCP, Snowflake, or Databricks
  • Improving cloud resources for cost, performance, and scalability
  • Proficiency in SQL and experience with relational databases
  • Proficiency in programming languages such as Python, Java, or Scala
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka
  • Experience with machine learning and data science workflows
  • Knowledge of data governance and data security practices
  • Demonstrated analytical, problem-solving, and communication skills
  • Ability to work independently and as part of a team in a fast-paced environment
  • Modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures
  • Collaboration and contribution as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification, and feedback
  • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance

Skills

  • Analyse and identify the linkages and interactions between the component parts of an entire system
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables
  • Develop skills outside your comfort zone, and encourage others to do the same
  • Effectively mentor others
  • Use the review of work as an opportunity to deepen the expertise of team members
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate
  • 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

Benefits

At PwC, we offer a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. For more information, please visit our benefits page: https://pwc.to/benefits-at-a-glance.

Pay

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.

Schedule

This position is full-time.

Location

Details on the location will be provided during the interview process.

Equal Opportunity Employer

PwC is an equal opportunity employer and does not discriminate against any applicant for employment based on race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); marital, or citizenship status; or any other status protected by law. PwC does not intend to hire experienced or entry level job seekers that 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.

Los Angeles County Fair Chance Ordinance

For those impacted by the Los Angeles County Fair Chance Ordinance for Employers, arrest or conviction records will be considered for Employment in accordance with these laws.

San Francisco Fair Chance Ordinance

For those impacted by the San Francisco Fair Chance Ordinance, arrest or conviction records will be considered for Employment in accordance with these laws.

San Diego County Fair Chance Ordinance

For those impacted by the San Diego County Fair Chance Ordinance, arrest or conviction records will be considered for Employment in accordance with these laws.

California Fair Chance Act

For those impacted by the California Fair Chance Act, arrest or conviction records will be considered for Employment in accordance with these laws.

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