Senior Data Engineer

At SparkMeter our mission is to electrify everything and everyone. We help utilities and governments make the transition to electrification while providing affordable, reliable, clean power. We don’t care where in the world you are or how big or small you are. We are particularly interested in solving these problems in underserved markets that are served by outdated incumbents.

SparkMeter is searching for a Senior Data Engineer to lead the design and development of analytics and digital modeling solutions for the utility industry. As a Senior Data Engineer you will be responsible for developing data integrations and analytics capabilities within the SparkMeter platform and product. This role is a key member of our engineering team and will report directly to the VP of Engineering.

What you will be doing:

• Design and implement data ingestion capabilities for system integration
• Develop analytical data models
• Develop data models for digital modeling of physical utility systems
• Develop ETL code for populating data models
• Devise end to end strategies for embedding analytics capabilities into SparkMeter products from ingestion through visualization
• Deploy and integrate with data visualization solutions
• Develop machine learning models for predictive analytics
• Work closely with product managers to understand customer requirements

Requirements

Requirements & Skills:

• Experience developing and supporting a commercial analytics product

• Experience with coding in Python, R, Pig script, and SQL
• Experience with performing data analysis, data ingestion and data integration
• Experience developing ETL (Extraction, Transformation & Loading) and architecting data systems
• Experience with schema design and data modeling
• Experience in writing, analyzing, optimizing and debugging SQL queries
• Basic understanding of various Big Data technologies
• Solid communication and collaboration skills
• Passionate and self-motivated about technologies in the Big Data area
• Bachelor's or Master's degree in Computer Science or related fields or equivalent practical experience

Nice to have:

• Utility industry experience
• Demonstrated data science or quantitative analysis experience
• Demonstrated experience handling terabyte size datasets, applying statistics and machine learning techniques and algorithms, and using visualization tools to present data.
• Understanding of deep learning, or distributed computing (Hive/Hadoop).
• Experience developing machine learning models or predictive analytics
• Experience building data integration and analytics solutions using the AWS platform and services

Where you will work:

• This is a 100% remote position, however we are headquartered in Washington D.C. and have an amazing downtown office that you are welcome to use. The team will also meet there periodically (likely quarterly), so some limited travel will be required.
• You will report to the VP of Engineering who is in Denver, Colorado USA

Benefits

• 401k with match
• Annual bonus
• Equity
• Health insurance, with 100% of the premium covered for you, and 30% for your dependents
• Paid vacation
• 13 paid holidays