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Senior Data Engineer
Apolis
- 🇺🇸 United States
- On-site
- Senior
- 14 hours ago
- $55 – $60 / hour
- SQL
- Python
- Databricks
- ELT
- ETL
- Data Modeling
- Data Architecture
14 hours ago
Location: Spring, TX (onsite)
Duration: Long Term contract
Candidates will also need to interview on-site in Spring, TX.
W2 role
Top Must-Haves:
- Advanced SQL skills and proven experience working with large, complex datasets.
- Strong Python programming experience for data engineering and analytics applications.
- Hands-on experience developing solutions within Databricks.
Role Overview
We are seeking a Senior Unconventional Analytics Engineer to ensure data-driven decision-making is intuitive and reliable. This role will focus on building and managing the data products that power forecasting, economics, planning, and operational workflows. The successful candidate will work with reservoir engineers, production engineers, planners, economists, and data professionals to ensure critical business data is reliable, governed, automated, and readily available for analytics and decision support.
Key Responsibilities
- Design, develop, and maintain analytics-ready data products supporting forecasting, economics, planning, drilling, completions, and production workflows.
- Establish trusted datasets and business logic that serve as authoritative sources for key analytical processes.
- Partner with business stakeholders to prioritize data product enhancements and new capabilities.
- Develop scalable data pipelines and transformation processes within Databricks using SQL and Python.
- Integrate data from operational, corporate, and third-party sources into a unified analytical environment.
- Optimize data models and architectures to improve performance, usability, and scalability.
- Support and enhance data flows feeding ComboCurve forecasting and economic workflows.
- Develop and maintain curated datasets optimized for Spotfire dashboards and self-service analytics.
- Establish data quality standards, validation rules, and monitoring processes.
- Promote a culture of data accountability and continuous improvement.
Required Qualifications
Education: Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or a related discipline.
Experience: 5+ years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics.
Technical Skills:
- Advanced SQL skills and experience with large, complex datasets.
- Python programming experience for data engineering and analytics applications.
- Hands-on experience developing solutions within Databricks.
- Experience designing and maintaining modern ELT/ETL pipelines.
- Experience developing analytics solutions using Spotfire.
- Understanding of data modeling, data architecture, and data product design principles.
Business & Leadership Skills:
- Problem-solving and analytical thinking capabilities.
- Ability to translate business challenges into scalable technical solutions.
- Communication and stakeholder management skills.
- Demonstrated ability to influence across technical and business teams.
Preferred Qualifications
- Experience in the Oil & Gas industry, particularly with unconventional resources.
- Experience with ComboCurve forecasting and economic evaluation workflows.
- Understanding of Reservoir Engineering, Asset Planning, and Economics & Capital Allocation.
- Familiarity with data governance and master data management practices.
- Experience developing enterprise-scale analytical data products.
Senior Data Engineer · Apolis