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Data EngineerEllipsis • Dallas, Texas, United States
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Data Engineer

Ellipsis
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
Jetzt Bewerben

Über

Ellipsis U.S. Onshore (“Ellipsis”) is a Dallas-based private energy company focused on the acquisition and development of large, producing oil and gas assets across major onshore basins in the United States. Backed by Westlawn Group (a Houston-based private investment firm), Ellipsis executes a non-operated strategy and currently manages a portfolio of approximately 1,500 wells producing in excess of 20,000 BOE/day across the Permian Basin, Haynesville Shale, and DJ Basin. We pride ourselves on a collaborative culture and a data-driven approach to maximizing asset value and growth.
Job Description The Data Engineer will be responsible for assisting the data science and technical team in several areas including but not limited to database creation and management, production monitoring, asset management, reserves reporting, LOS analysis, and asset evaluations. They will also act as a liaison between the technical and the finance teams to convert reserve report statements into outputs suitable for corporate level returns models.
The successful candidate will be comfortable in a fast-paced environment with changing priorities from a multi-disciplined team and will be expected to adapt to the business needs in various capacities (learning new software, assisting other departments, etc.).
Responsibilities
Assist the Data Science Director in managing oil and gas data from a variety of sources
Support engineering team in maintaining and updating ARIES databases, including production, forecasts, and economic data
Design, build, and maintain relational databases for production data, well-level economics, and asset tracking across multiple operating basins
Prepare and quality-check reserve report inputs and outputs, ensuring data integrity between engineering models and financial reporting
Build and maintain BI tools and dashboards to support analysis and reporting in Excel and other visualization software (Power BI, Spotfire, etc.)
Aggregate, clean, and normalize production data from operators, state regulatory agencies, and third-party data providers (e.g., Enverus, IHS)
Support asset management efforts including tracking well performance, ownership changes, and key operational metrics
Create visualizations and summaries to support engineering and management insights
Assist with ad hoc data analysis to support deal screening, due diligence, and acquisition underwriting
Manage and administer data subscriptions, API integrations, and software tools used by the technical team
Document data workflows, maintain data dictionaries, and establish best practices for data governance
Support other departments as needed, including finance, legal, and operations, on data-related requests
Requirements
Bachelor’s degree in computer science, data science, accounting, math, engineering or a related field
2-5 years of experience in data engineering or analytics or a technical role in the oil and gas industry
Proficiency in SQL and relational database design
Working knowledge of Python or R for data manipulation, automation, and analysis
Use of AI to assist in coding in SQL and Python
Excellent communication skills with the ability to translate technical data concepts for non-technical stakeholders
Strong attention to detail and commitment to data accuracy and integrity
Proficiency in Microsoft Excel
Some travel may be required (data rooms, conferences, etc.)
Flexible to work a variety of hours as business needs dictate
Proven track record of handling multiple projects concurrently under tight deadlines
Willingness to learn new tools, systems, and industry concepts
Additional Desired Skills
Ability to write macros and functions in Microsoft Office programs
Experience with oil and gas data platforms such as Enverus (DrillingInfo), IHS, or similar industry data providers
Familiarity with production data structures, decline curve analysis concepts, and upstream oil and gas terminology
Experience with cloud-based data infrastructure (e.g., AWS, Azure, or Google Cloud)
Familiarity with BI and visualization tools
Exposure to API development or integration (REST APIs, webhooks)
Experience with version control systems (Git/GitHub)
Knowledge of petroleum economics software (e.g., ARIES, ComboCurve)
Experience building stochastic or Monte Carlo simulation models
Familiarity with non-operated working interest deal structures, joint interest billing (JIB), and LP reporting
It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Time Off: 25 days of PTO for full-time employees and 12 company holidays.
Company Paid Benefits: Life insurance, Short-term disability, Long-term disability, Paid parental leave, Employee Assistance Program, and medical insurance in our high deductible health plan.
Optional Employee Paid Benefits: Medical insurance in our EPO plan, Dental benefits, and Vision benefits. We also offer Health Savings Accounts, Flexible Spending Accounts, Supplemental Life insurance, and more.
401(k): Eligible after 60 days. Discretionary company match of up to 6%
Lunch credit: Daily $25 allowance to GrubHub
EQUAL OPPORTUNITY EMPLOYER
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  • Dallas, Texas, United States

Sprachkenntnisse

  • English
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