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Data Engineer

Remote: 
Full Remote
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Offer summary

Qualifications:

3+ years of experience in data engineering or a related field, Proficiency in Python and strong SQL skills, Experience with ETL/ELT processes and cloud-based data platforms, Knowledge of big data technologies and data governance practices..

Key responsabilities:

  • Design, develop, and maintain data pipelines and infrastructure
  • Collaborate with data scientists and analysts to understand data needs
  • Implement data quality checks and validation procedures
  • Document data processes and prepare curated datasets for analytics use cases.

Electric Power Engineers logo
Electric Power Engineers Furniture Scaleup https://epeconsulting.com/
201 - 500 Employees
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Job description

Overview:

We are designing the grid of the future! 

Be a part of an innovative team shaping the grid of the future through advanced energy intelligence.  For more than half a century, Electric Power Engineers, (EPE) has partnered with power and energy clients across the globe providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space, we are focused on building a modern, secure, and resilient gid.   Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.

Responsibilities:

Join us in leading the change!

Our software team develops and deploy innovative cloud-based analytics and engineering products to optimize the energy sector. We are seeking a skilled Data Engineer to join our data engineering team. In this role, you will design, develop, and maintain data pipelines and infrastructure that support our organization's analytical and operational needs. You will work under the guidance of the Principal Data Engineer to implement efficient data solutions while ensuring data quality, reliability, and accessibility.

 

 

 

How you can make an impact:

  • Build and maintain scalable data pipelines for ingestion, transformation, and delivery of data
  • Implement data models and schemas based on business requirements
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs
  • Write efficient, maintainable code for data transformation and processing
  • Implement data quality checks and validation procedures
  • Contribute to the optimization of existing data workflows
  • Participate in code reviews and knowledge sharing sessions
  • Assist in troubleshooting data issues and implementing solutions
  • Document data processes, architectures, and workflows
  • Prepare curated datasets for analytics use cases
  • Maintain running pipelines to ensure data availability for downstream systems and teams

 

Qualifications:

Bring your passion, here's what’s needed:

  • 3+ years of experience in data engineering or related field

  • Experience with ETL/ELT processes and tools (e.g. Glue, Glue Catalog, dbt)

  • Familiarity with cloud-based data platforms (AWS, Azure, or GCP)

  • Experience with data orchestration tools (Airflow, Dagster, Prefect, etc.)

  • Proficiency in Python or another programming language used for data processing

  • Strong SQL skills and experience with relational databases

  • Knowledge of big data technologies (e.g. Spark, Athena, Snowflake DB)

  • Knowledge of integration with downstream analytics tools (e.g. Tableau, PowerBI,

  • Knowledge of data warehousing and data lake concepts and best practices

  • Experience with NoSQL databases

  • Understanding of data governance practices

  • Exposure to CI/CD pipelines for data workflows

  • Knowledge of infrastructure as code concepts

  • Exposure to Data Warehouse and Data Lake concepts

  • Experience with containerization (Docker)

  • Experience with version control systems (Git)

  • Understanding of data quality principles

  • Effective communication and collaboration abilities

     

    Preferred Qualifications

    · Experience in the power and energy industry, working with SCADA, AMI, EMS, and grid modeling datasets.

    · Expertise in AI/ML-driven energy forecasting, anomaly detection, and optimization models.

    · Knowledge of geospatial data (GIS) for grid planning and renewable energy analytics.

    · Experience with data governance frameworks, compliance (FERC, NERC), and regulatory reporting.

 

 

How we support you:

  • Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you.
  • Generous PTO and paid holidays
  • Work with industry leaders
  • 401K, up to a 4% match (100% vested from day 1)
  • Flexible Work including hybrid and remote possibilities based on position.

 

 

Location: This position is open to remote

Travel:  Occasional travel may be needed (10% or less)

 

EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster, and its supplement are available using the following links: EEOC is the Law Poster

 

If you are interested in applying for employment with EPE and need special assistance to apply for a posted position, please send an email to: applicationassistance@epeconsulting.com

 

Third-Party Recruiting Notification

EPE does not accept unsolicited resumes from third-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information, may be treated as a direct application from the person identified in the resume, and will not be eligible for placement fee payment to the agency. EPE will not pay a fee to a third-party recruiter or agency without a previously signed third-party agreement and has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team. 

  #LI-ML1 

Required profile

Experience

Industry :
Furniture
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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