Senior Business Intelligence Analyst

Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines stable cash flows from low-decline production with a deep, high-quality development inventory.

Crescent is a top three producer (by gross operated production) in the Eagle Ford basin. Crescent’s leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise. For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns.  Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet.

The

Senior Data Engineer

will play a critical role in building and scaling Crescent Energy’s data platform to support analytics, reporting, and operational insights. This role requires deep expertise in

Snowflake and cloud technologies (AWS)

, with strong upstream oil & gas domain knowledge. The engineer will design and optimize data pipelines, enforce data quality and governance standards, and partner with business stakeholders to deliver reliable and scalable data solutions.

Key Responsibilities

- Data Architecture & Engineering

- Design, develop, and maintain data pipelines using Snowflake, AWS/Azure, and modern data engineering tools.

- Implement ETL/ELT processes to integrate data from diverse upstream systems (SCADA, production accounting, drilling, completions, etc.).

- Architect & develop scalable data models that support both operational reporting and advanced analytics use cases.

- Establish frameworks for data quality, validation, and lineage to ensure trust in enterprise data.

- Platform Development & Optimization

- Lead the build and optimization of Snowflake-based data warehouses, focusing on performance and cost efficiency.

- Design and implement cloud-native data solutions leveraging AWS/Azure services (e.g., S3, Lambda, Azure Data Factory, Databricks).

- Manage large-scale, time-series, and operational data processing workflows.

- Implement robust security, access management, and governance practices.

- Technical Leadership & Innovation

- Provide technical guidance and mentor junior team members.

- Evaluate and introduce new technologies and best practices to enhance data platform capabilities.

- Build reusable components, frameworks, and automation utilities to accelerate delivery.

- Support AI/ML initiatives by delivering production-ready, high-quality data pipelines.

- Business Partnership

- Partner with the stakeholders across all business units to capture and translate data requirements into technical solutions.

- Collaborate with analysts and data scientists to enable self-service analytics and business reporting.

- Deliver reliable data integration for regulatory and compliance reporting.

- Act as a bridge between technical teams and business leaders, ensuring alignment and impact.

Qualifications & Experience

- Education:

- Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field.

- Advanced degree or relevant certifications (e.g., SnowPro, AWS/Azure Data Engineer, Databricks) preferred.

- Experience:

- 7+ years in data engineering roles with at least 3 years on cloud data platforms.

- Demonstrated expertise with Snowflake and at least one major cloud platform (AWS or Azure).

- Hands-on experience in upstream oil & gas data (wells, completions, SCADA, production volumes, reserves, etc.).

- Strong track record of delivering operational and analytical data pipelines.

- Skills & Competencies:

- Advanced SQL Server and Python skills.

- Strong background in data modeling, ETL/ELT, cataloging, lineage, and security.

- Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.).

- Proficiency with CI/CD pipelines, version control (Git), and automated testing practices.

- Experience with BI and visualization tools (Power BI, Spotfire, Tableau).

- Understanding of AI/ML concepts and preparing datasets for analytics.

- Familiarity with Agile methodology and Scrum framework; able to work in iterative sprints and adapt to changing priorities.

- Strong communication and stakeholder engagement skills, with the ability to influence both executives and technical peers.

- Knowledge of data governance, security standards, and regulatory compliance within the energy sector.

Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting recruitment@crescentenergyco.com.