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# Analytics Engineer

- **Company:** KAVEN GLOBAL TECH LLC
- **Location:** Spring, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Big Data, Spreadsheets, Information Systems, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, Data Streaming, Sql Optimization, Information Technology, Data Management, Spotfire, Data Pipelines, Databricks
- **Published:** August 18, 2026
- **Apply:** https://www.dice.com/job-detail/ee65ed33-830b-46f3-986b-d24b7ed8f6c9

## About the Role

Note: EXP in Oil & Gas and ComboCurve forecasting mandatory - SQL, Python, ETL

Top 3 skill sets/technologies required for qualification:
1) Proven Advanced SQL skills and proven experience working with large, complex datasets.
2) Strong Python programming experience for data engineering and analytics applications.
3) Strong problem-solving and analytical thinking capabilities., 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.

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.

## Description

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.


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