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Data Engineer
Conduit Power Houston, TX
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$115k-141k (estimate)
Full Time 1 Day Ago
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Conduit Power is Hiring a Data Engineer Near Houston, TX

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.

Job Summary

JOB TYPE

Full Time

SALARY

$115k-141k (estimate)

POST DATE

06/27/2024

EXPIRATION DATE

07/12/2024

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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