Senior Unconventional Analytics Engineer

Apex Systems; Spring (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K with match

ESPP

Job summary

Apex Systems is seeking a Senior Unconventional Analytics Engineer to build data products enabling forecasting, economics, planning, and operations across the Unconventional Resources organization. You will work with Databricks, ComboCurve, and Spotfire to deliver trusted, governed data for analytics and decision support.

You will partner with reservoir and production engineers, planners, economists, and data professionals to ensure data is reliable, automated, and readily available for

Qualifications

• Bachelor's degree required.
• 5+ years of analytics engineering or related experience.
• Advanced SQL skills with large datasets.
• Strong Python for data engineering and analytics.
• Databricks experience required.
• ELT/ETL pipeline design and maintenance.
• Data modeling and data architecture knowledge.
• Experience with Spotfire analytics.

Responsibilities

• Design, develop, and maintain analytics-ready data products for forecasting, economics, planning, drilling, completions, and production workflows.
• Establish trusted datasets and business logic as authoritative sources for analyses.
• Partner with stakeholders to prioritize data product enhancements and capabilities.
• Develop scalable data pipelines in Databricks using SQL and Python.
• Integrate data from multiple sources into a unified analytics environment.
• Improve data model performance and scalability; automate workflows.

Education

Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related discipline

Tools

Databricks

Spotfire

ComboCurve

Job description

Senior Unconventional Analytics Engineer

Job#: 3046017

Location: Spring, TX (On-Site)

Organization: Unconventional Resources

About The Role

We are seeking a Senior Unconventional Analytics Engineer to ensure data-driven decision making are intuitive and reliable across our Unconventional organization. Over the past two years, our team has developed forecasting, economic, and operational analytics solutions leveraging Databricks, ComboCurve, and Spotfire. While these tools provide significant value, their effectiveness depends on consistent, trusted, and easily accessible data. This role will focus on building and managing the data products that power our forecasting, economics, planning, and operational workflows. The successful candidate will work closely 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

Data Product Ownership

• 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.

Databricks Data Engineering

• 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.
• Implement automated workflows that reduce manual data preparation and spreadsheet-based processes.

ComboCurve Integration & Enablement

• Support and enhance data flows feeding ComboCurve forecasting and economic workflows.
• Ensure forecasting and economic analyses are based on consistent, validated, and auditable datasets.
• Collaborate with engineers and economists to streamline data preparation and model execution.
• Improve traceability and transparency of inputs used in forecasting and economic evaluations.

Spotfire Analytics Enablement

• Develop and maintain curated datasets optimized for Spotfire dashboards and self-service analytics.
• Partner with stakeholders to improve data accessibility and visualization capabilities.
• Ensure consistency between Spotfire reporting, ComboCurve outputs, and enterprise data sources.
• Enable users to gain insights quickly through well-designed analytical data structures.

Data Quality & Governance

• Establish data quality standards, validation rules, and monitoring processes.
• Identify and resolve data inconsistencies across systems and workflows.
• Develop business metadata, documentation, lineage, and governance practices.
• Promote a culture of data accountability and continuous improvement.

Required Qualifications

Technical Expertise

• Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related discipline.
• 5+ years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics.
• 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.
• Experience designing and maintaining modern ELT/ETL pipelines.
• Understanding of data modeling, data architecture, and data product design principles.

Analytics Platforms

• Experience developing analytics solutions using Spotfire.
• Experience supporting or integrating analytical applications and business workflows.
• Strong understanding of how data structures influence reporting, forecasting, and decision-making.

Business & Leadership Skills

• Strong problem-solving and analytical thinking capabilities.
• Ability to translate business challenges into scalable technical solutions.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to influence across technical and business teams.

Preferred Qualifications

• Experience in Oil & Gas, particularly Unconventional Resources.
• Experience with ComboCurve forecasting and economic evaluation workflows.
• Understanding of:

• Reservoir Engineering
• Asset Planning
• Economics & Capital Allocation

• Familiarity with data governance and master data management practices.
• Experience developing enterprise-scale analytical data products.

What Success Looks Like

• Establish trusted and governed datasets supporting major forecasting and economics workflows.
• Reduce time engineers and analysts spend validating and preparing data.
• Improve consistency across Databricks, ComboCurve, Spotfire, and enterprise reporting systems.
• Implement automated data quality monitoring and exception reporting.
• Create scalable data foundations that accelerate future analytics and AI initiatives.

Benefits

• Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection.
• We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure.
• Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
• In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
• Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach.

Equal Opportunity Employer

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.