Senior Analytics Data Engineer - Databricks & Data Products

Apex Systems; Spring (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision, life, and 401

ESPP (employee stock purchase program)

401K with company match after 12+ mo

HSA (Health Savings Account)

EAP with counseling

Professional development & cert prep

Certification discounts (CompTIA/IIBA)

Career coaching

Welcome packet resources

Job summary

Everforth Apex Systems is seeking a Senior Unconventional Analytics Engineer in Spring, TX to ensure data-driven decisions are efficient and reliable. You will build data products powering forecasting, economics, planning, and operational workflows while collaborating with reservoir and production engineers, economists, and data professionals.

You will design scalable Databricks pipelines, establish authoritative data sources, and partner with stakeholders to prioritize enhancements.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related discipline.
• 5+ years in analytics engineering, data engineering, BI, or advanced analytics.
• Proficient in SQL with large, complex datasets.
• Python for data engineering and analytics applications.
• Hands-on Databricks development.
• Experience building ELT/ETL pipelines.
• Experience with Spotfire analytics solutions.
• Knowledge of data modeling, architecture, and data product design.

Responsibilities

• Design, develop, and maintain analytics-ready data products for forecasting, economics, planning, and production workflows.
• Establish trusted datasets and authoritative business logic.
• Collaborate with stakeholders to prioritize data product enhancements.
• Build scalable data pipelines and transformations in Databricks using SQL and Python.
• Ingest data from operational, corporate, and external sources into a unified analytics environment.
• Optimize data models and architectures for performance and usability.
• Support data flows for ComboCurve forecasting and economic workflows.
• Create and maintain curated datasets for Spotfire dashboards and self-service analytics.
• Set data quality standards, validation rules, and monitoring.
• Promote data accountability and continuous improvement.

Skills

Advanced SQL

Python

Databricks

ELT/ETL

Data modeling

Spotfire

Data governance

Stakeholder management

Education

Bachelor's degree in Engineering/CS/Data Science/IS

Tools

Databricks

Spotfire

Job description

Everforth Apex Systems is seeking a Senior Unconventional Analytics Engineer in Spring, TX to ensure data-driven decisions are efficient and reliable. You will build data products powering forecasting, economics, planning, and operational workflows while collaborating with reservoir and production engineers, economists, and data professionals.

You will design scalable Databricks pipelines, establish authoritative data sources, and partner with stakeholders to prioritize enhancements.