About the Position:
Conduit Power is on a path to supplement our Nation’s power generation system with reliable and dispatchable generation in ways that reduces carbon footprint and accelerates the transition to clean, renewable energy.
We are seeking an experienced Data Engineer who will report directly to the Manager of Data Engineer and who will lead the data engineering and data architecture efforts of the Firm.
The position will manage existing AWS and Python-based data pipelines and develop additional pipelines and ETL processes as Conduit expands beyond Texas. These pipelines will download, process, and sanitize hundreds of millions of natural gas and power prices per day across U.S. markets. You will also help Conduit develop and deliver operational data pipelines extracted from deployed generation equipment, market insight dashboards on power and gas market prices and significant operational KPIs.
You Will:
- Improve, deploy, quality control, and update data systems, both internal and external, working under the guidance of the Manager of Data Engineer and alongside existing technical team members in a distributed environment
- Manage the Firm’s existing AWS-based data infrastructure (EC2, S3, Athena, Lambda, Glue, SNS) scraping ISO and RTO power pricing data over billions of points on a real-time, day ahead, and forward basis, ensuring data pipelines can be used intelligently by commercial and operational users
- Improve upon existing Python-based ETL and querying processes and Athena/S3 data lake architecture to reduce latency and improve storage efficiency
- Expand AWS data pipeline framework to additional strategic end markets and to include operational data from deployed generation equipment
- Work with the Firm’s commercial customers to architect reporting dashboards and manage analytical queries regarding operational uptime, efficiency, and power market pricing fundamentals
- Assist in building and scaling a best-in-class data science and engineering team capable of managing real-time power decision-making and curating customer and site lists for long-term value
What You Bring to the Team:
- Bachelor’s degree in technical discipline
- 2+ years of professional experience working as a data engineer or web developer focused on backend systems architecture
- Excellent analytical and problem-solving skills
- Experience deploying data architecture solutions across all phases of a data engineering pipeline, including ETL, data warehouse/data lake architecture, statistical and machine learning modeling, and creating meaningful commercial outputs via dashboards or web applications
- Expert working knowledge of Python, experienced with Linux, AWS, SQL/NoSQL databases, and UI solutions such as Tableau
- Strong writing, editing, analytical, research, communication, presentation, and organizational skills
- Demonstrated success prioritizing and managing competing expectations effectively while working on multiple projects simultaneously
- Experience managing high-volume data solutions at scale (threading, vectorization, Spark/Hadoop, etc.)
What Conduit Brings to You:
- Opportunity to play a significant role in transforming the energy industry
- Growth, development, learning, and advancement opportunities
- A flexible environment where your voice, thoughts, and ideas are valued and heard
- Excellent benefits (company-paid and voluntary): Health / Dental / Vision / Life / AD&D / STD / LTD / AFLAC / Pet / Legal / Commuter / 401(k) with Company Match / Paid Time Off and more!
Location:
Houston, Texas
Target Comp Range:
$120,000 to $130,000
About Conduit Power:
Conduit Power builds and operates long-term contracted electrical infrastructure allowing customers to increase reliability, reduce power costs, and minimize carbon emissions.
Conduit is a portfolio company of Grey Rock Investment Partners. Grey Rock Investment Partners is a private equity firm with more than $1.3 billion in asset value across its private equity fund platform. The firm invests across the energy value chain with private equity funds focusing on investments in natural resources, carbon capture, industrial electrification, and power optimization.