Data Engineer – Industrials & Energy Sector – Manager – Consulting – Location Open

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

The exceptional EY experience. Its yours to build.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

US Consulting – AI & Data – Data Engineer, Industrials & Energy Sector – Manager

The opportunity

EY is seeking for Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs.

Your key responsibilities

Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals

Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity

Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment

Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data

Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues

Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes

Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity

Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes

Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Solve complex data problems to deliver insights that help achieve business objectives

Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics

Skills and attributes for success

Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives

Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling

Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value

Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity

Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth

Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions

To qualify for the role you must have

Bachelor’s degree in Engineering, Computer Science, Data Science, or related field

5 years of experience in software development, data science, data engineering, ETL, and analytics reporting development

2 years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional development.

Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines

Proven track record of designing and implementing complex data solutions

Demonstrated understanding and experience using:

Data Engineering Programming Languages (i.e., Python)

Distributed Data Technologies (e.g., Pyspark)

Cloud platform deployment and tools (e.g., Kubernetes)

Relational SQL databases

DevOps and continuous integration

AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)

Databricks/ETL

IICS/DMS

GitHub

Event Bridge, Tidal

Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions

Understanding of database architecture and administration

Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals

Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent source to serve business users and data visualization needs

Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases

Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners

Strong problem solving and troubleshooting skills

Ability to work in a fast-paced environment and adapt to changing business priorities

Ideally, you’ll also have

Experience in leading and influencing teams, with a focus on mentorship and professional development

A passion for innovation and the strategic application of emerging technologies to solve real-world challenges

The ability to foster an inclusive environment that values diverse perspectives and empowers team members

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

For those living in California, please click here for additional information.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. 

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com