Search for Senior Data Engineer roles in Denver, CO, specifically in the Energy sector, requiring 8+ years of experience, proficiency in AWS and Python, and with options for remote work.

Okay, I've searched for Senior Data Engineer roles in Denver, CO within the Energy sector, requiring 8+ years of experience, proficiency in AWS and Python, with options for remote work. I found 65 positions for you to explore.

Senior Data Engineer

Denver, CO

Energy

8 years + Experience

AWS

Python

Remote

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Senior Data Engineer at EY within the Industrials & Energy Sector is fundamentally about architecting and delivering robust data solutions that align with business objectives across diverse industries such as Manufacturing and Oil & Gas. This position requires a high degree of strategic oversight in the design and implementation of data engineering initiatives, necessitating expert knowledge in cloud platforms like AWS and Azure, as well as strong collaboration skills to work with stakeholders from various disciplines including AI/ML engineers and business analysts. Key responsibilities emphasize not only the technical aspects of data pipeline development and management but also the need for leadership and mentorship within the team. Success in this role will involve navigating complex technical challenges, ensuring data quality and reconciliation, and managing client relationships effectively in a dynamic environment where the ability to adapt and problem-solve is crucial. Performance metrics will likely include the effectiveness of delivered data solutions, stakeholder satisfaction, and the capacity to enhance data engineering practices through digital transformation efforts.

Company Analysis:

EY operates in a highly competitive consulting space with a focus on innovation and transformation, particularly in the financial and professional services sector. The company's commitment to 'building a better working world' signifies a strong emphasis on sustainable practices, client value creation, and integrity, aligning well with the role's expectation for not only technical proficiency but also ethical standards. The culture within EY seems to foster collaboration and inclusion, which will be essential for a Senior Manager who must work cross-functionally and mentor junior team members. This role, while technically focused, also sits within a larger framework of strategic consulting, indicating that the Senior Data Engineer will have an influential position in shaping data solutions that drive business success. Given EY’s global presence and commitment to leveraging emerging technologies, the role promises a chance to engage with cutting-edge advancements while ensuring that all engineering solutions align with strategic business goals.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a complex data engineering project you managed, and what were the critical challenges you faced?
Tell me about a time when you had to mentor a team member through a technical challenge. How did you approach this situation?
How have you previously ensured data quality and reconciliation in a data engineering project?
What steps would you take to design a scalable data pipeline that integrates various data sources effectively?
Describe your experience with cloud platforms like AWS or Azure. How did you leverage them in a previous role?
Can you provide an example of how you have incorporated AI/ML capabilities into data engineering solutions?
Imagine you are tasked with designing a data architecture for a new client in the energy sector. What key factors would you consider?
How would you handle a situation where stakeholders have conflicting requirements for a data project?
Why are you interested in working specifically with EY in the role of Senior Data Engineer?
In what ways do your personal values align with EY's mission to build a better working world?
What strategies would you employ to foster a culture of innovation within your team?
What questions do you have about EY's approach to digital transformation and data engineering?
How do you keep up with the latest trends in data engineering and cloud technology? Can you share something recent that interested you?
What challenges do you anticipate in this role, and how would you prepare to tackle them?

Job Details

Overview Company

Senior Manager Data Engineer

$142.6k/y-$325.8k/y

a month ago

Highlight

HybridFull-time8+ yearsSenior

Summary

EY is seeking a Senior Data Engineer - Industrials & Energy Sector - Senior Manager - Consulting to join their team in Denver, CO. The role involves designing and building analytics solutions that deliver significant business value.

About the Role

As a Senior Manager in Data Engineering, you will design and build analytics solutions that deliver significant business value. You will collaborate with a diverse team of data and analytics professionals, management, and stakeholders to ensure that our solutions meet business requirements. Your role will also involve understanding and translating business needs into technical requirements, ensuring that our development aligns with the intended design. Responsibilities include strategic oversight, cloud solutions leadership, solution recommendation, pre-sales and RFPs, AI/ML and advanced analytics collaboration, data requirements and validation, data quality and reconciliation, technical leadership, digital and cloud modernization, team management, and stakeholder collaboration.

About You

Required:

A Bachelor’s degree required; a Master’s degree preferred in Engineering, Computer Science, Data Science or a related field.
Typically, no less than 8 years of relevant experience in data engineering, including significant experience in managing large-scale data projects and leading technical teams.
5+ years of experience in the Manufacturing, Power & Utilities, Automotive, and/or Oil & Gas industries.
Proven track record of recommending and implementing complex data solutions, managing data pipelines and driving data quality and reconciliation.
Experience with AWS, Azure, Databricks, Python, Pyspark, API development, and cloud modernization practices.
Strong organizational skills with the ability to manage multiple projects simultaneously and lead globally distributed teams.
Strong understanding of Cloud Computing.
Proficiency in Data Architecture Design and Modelling.
Expertise in Data Integration and Data Quality.
Knowledge of Database Management and Data Security.
Familiarity with Software Engineering principles.

Preferred:

Experience leading teams and managing change effectively.
Strong negotiation and influencing skills.
A commitment to continuous learning and professional development.
A strong interest in applying emerging technologies to solve real-world data challenges.
Ability to foster an inclusive environment that values diverse perspectives and empowers team members.

Benefits

Comprehensive compensation and benefits package.
Base salary range in the US: $142.6k–$325.8k.
Base salary range in New York City Metro Area, Washington State and California (excluding Sacramento): $171.1k–$370.3k.
Medical and dental coverage.
Pension and 401(k) plans.
Wide range of paid time off options.
Flexible vacation policy.
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams in more than 150 countries work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, strengthened by sector experience and diverse ecosystem partners.

Find out more about the EY global network: http://ey.com/en_gl/legal-statement

Denver, CO