Data Engineer - Power & Utilities - Senior - Consulting - Location Open

Ernst and Young; Kansas City (MO); Hybrid; USD 105,000 - 193,000; Full time

Job summary

Join a forward-thinking company as a Senior AI Data Engineer, where your expertise in AI and data architecture will drive innovation in the industrials, energy, and utilities sectors. In this pivotal role, you'll design and implement scalable data solutions, translating complex business needs into actionable technical specifications. Collaborate with a diverse team to enhance data engineering productivity and deliver impactful projects. This is a unique opportunity to leverage your skills in a dynamic environment that values integrity and creativity, making a tangible difference in a better working world.

Benefits

medical coverage

dental coverage

401(k) plans

flexible vacation policy

paid time off options

Winter/Summer breaks

Personal/Family Care leave

Qualifications

• 5+ years of experience in data engineering and analytics.
• Strong background in AI, GenAI, and data architecture.
• Experience in the power and utilities sector.

Responsibilities

• Design and implement scalable data architectures for AI solutions.
• Collaborate with stakeholders to define technical specifications.
• Manage resource plans and project statuses effectively.

Skills

AI

Gen AI

Agentic AI

SQL databases

DevOps

data lifecycle management

data architecture

ETL pipelines

cloud computing

critical thinking

Education

Bachelor’s degree in electrical/Power Systems Engineering

Bachelor’s degree in AI

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Tools

Microsoft Fabric

Databricks

Snowflake

GitHub

Job description

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. It's yours to build.

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

EY is seeking a motivated professional with solid experience in the industrials, energy or utilities sector to serve as a Senior AI Data Engineer who possesses a robust background in AI, Gen AI, Agentic AI, preferably with an electrical engineering background. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the industrials, energy, and utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data architectures.

The opportunity

As a Senior Data Engineer, you will be at the forefront of designing and implementing analytics solutions that drive substantial business value. You'll work closely with a diverse group of stakeholders to translate complex business requirements into precise technical specifications. Your role is crucial in bridging the gap between business needs and technical solutions, ensuring the successful execution of data-driven projects.

Your key responsibilities

1. Design and implement scalable data architectures.
2. Ensure efficient data lifecycle management.
3. Contribute to the delivery of key projects and solutions.
4. Architect and refine AI data architecture and modern data pipelines, integrating agentic AI solutions for clients in the industrials, energy, or power and utility sectors.
5. Leverage your knowledge of industrials, energy or power and utility systems and processes to define data requirements, gather, profile and analyze large scale structured and unstructured source data, and develop AI/GenAI/Agentic AI solutions.
6. Develop the mechanisms to ingest, analyze, validate, normalize, and clean data to support standardization, customization and ad hoc data analysis needs.
7. Evaluate and implement cutting-edge tools and methodologies to enhance data engineering productivity.
8. Collaborate with a diverse team of business analysts, solution architects, and data scientists to develop strategic enterprise solutions and data products.

Skills and attributes for success

1. A deep understanding of the value chain and core processes within the energy, or power systems sectors.
2. Proficiency in AI, GenAI/Agentic AI, relational SQL databases, DevOps, continuous integration, and data lake concepts.
3. A proven ability to design and maintain complex data integrations and ETL pipelines.
4. Strong organizational skills, capable of leading projects across globally distributed teams.
5. Exceptional communication skills and the ability to troubleshoot complex data issues.
6. Collaborate with stakeholders to define technical specifications.
7. Participate in client sessions and lead workstream teams.
8. Manage resource plans, budgets, and project statuses.

To qualify for the role, you must have

1. A Bachelor’s degree in electrical/Power Systems Engineering, AI, Computer Science, Data Science, or a related field.
2. At least 5 years of experience in data engineering, AI, and analytics.
3. At least 5 years of experience in the power and utilities sector.
4. A track record of implementing complex data solutions and familiarity with cloud services, data engineering programming languages, and data architecture.
5. Demonstrated understanding and experience using:
1. AI, GenAI/Agentic AI
2. Relational SQL databases
3. DevOps and continuous integration
4. Microsoft Fabric, Databricks/Snowflake
5. GitHub
6. Experience in cloud computing, data architecture design, data integration, and software engineering.
7. Professional certifications as defined by service line policies.
8. Relationship management skills.
9. Critical thinking and emotional agility.

Ideally, you’ll also have

1. Proven ability to navigate complex issues and make informed decisions.
2. Experience in supervising and guiding junior team members.
3. Demonstrated participation in sales opportunities and RFP responses.
4. Leadership experience with a focus on team development and mentorship.
5. A passion for leveraging emerging technologies to address real-world problems.
6. A commitment to creating an inclusive work environment that celebrates diversity.

What we look for

We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate.

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 $105,100 to $192,700. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $126,100 to $218,900. 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.

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.