[Remote] Supervisor Data Engineering
Note: The job is a remote job and is open to candidates in USA. FirstEnergy is a forward-thinking electric utility focused on integrity, safety, reliability, and operational excellence. The Data Engineering Supervisor leads a team responsible for building and maintaining data products that support enterprise analytics and data-driven decision-making, while overseeing governance, resource planning, vendor management, and employee development.
Responsibilities
- Actively leading a high performing, empowered team that develops data engineering solutions to serve enterprise data product needs, and to enable advanced analytics (machine learning models, artificial intelligence, and/or statistical models)
- Oversight of contracted employees, ensuring project work meets contractual milestones and removing blockers as necessary
- Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes
- Supporting numerous projects and activities simultaneously, ensuring that squad objectives are consistent with overall department objectives
- Advocating a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions (including data modelling design methodologies)
- Supporting the evaluation, implementation and deployment of emerging tools and processes for advanced analytical data engineering, as part of architecture road mapping efforts
- Participating in the overall project planning for resource balancing for data engineers
- Participating in vendor management processes including resolving support issues, product road mapping and license renewals
- Performing quarterly check-in conversations with employees and providing coaching and feedback on performance, expectations, professional development, and career growth
- Championing FirstEnergy’s Core Values & Behaviors, through coaching and by personal example
- Supporting major incidents, project activities and support concerns off hours as required
Skills
- You have a bachelor's degree in a quantitative discipline such as Computer Science or another related field with 7 years related experience
- In lieu of a degree, you have 9 years of related experience
- Expertise in data lakehouse technologies (such as Databricks or Snowflake) and streaming platforms
- Expertise in design, build, and deployment of data solutions that support AI, ML, and BI
- Proficiency in design and implementation of modern data architecture, including cloud services and modern data warehouse tools
- Experience integrating data quality practices into Data Engineering development patterns
- Experience developing and implementing operational plans, which may include budgets, processes, and road maps
- Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions
- Knowledge of ITIL concepts with a focus on configuration management, change management, and incident management
- Strong interpersonal, communications, presentation, training & mentoring skills
- Ability to observe employees, assess performance, and provide feedback
- Ability to plan for and support employees in career development opportunities
Benefits
- Competitive pay plus incentive compensation
- A company-sponsored pension plan
- 401(k) savings plan with matching employer contribution
- A choice of medical, prescription drug, dental, vision, and life insurance programs
- Skills development training with tuition reimbursement
- Position is currently remote but may work at or visit a facility based on business need
Company Overview