Sr Data Engineer at Range Resources

Fort Worth, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL Server, T-SQL, Azure Data Factory, Databricks, PySpark, Microsoft Fabric, Snowflake, Python, Data Warehousing, ETL/ELT Pipelines, Data Modeling, CI/CD, Azure DevOps, GitHub Actions, Medallion Architecture, Cloud Migration

Industry

Oil and Gas

Description

Position Summary The Senior Data Engineer designs, builds, and maintains the scalable cloud-based infrastructure required to collect, process, and store large volumes of data used for analytics and decision‑making. They develop and manage cloud-based data systems such as data lakes, data warehouses, and ETL/ELT pipelines, ensuring data flows reliably from diverse sources into centralized platforms. They are responsible for cleaning, transforming, and validating data to ensure high levels of quality, consistency, and security. Data engineers collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable, performance‑optimized solutions. They also monitor, troubleshoot, and continuously improve data infrastructure to support current and future business needs. May coach, review and delegate work to lower-level professionals, as needed. Responsibilities * Cloud Migration Strategy: Design and execute end-to-end migration strategies to move on-premises SQL Server workloads to Azure, Fabric, Databricks or Snowflake. * Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (PySpark), and Microsoft Fabric. * Platform Integration: Manage cross-platform data flows, ensuring seamless integration between Snowflake/Databricks/Fabric warehouses and the on-premises SQL Server. * Architecture Design: Implement Medallion Architecture (Bronze/Silver/Gold) and Lakehouse patterns to support both batch and real-time analytics. * SQL Server: Build and support complex queries, performance tuning (indexes, query plans), partitioning, and large-volume ETL workloads Being courteous, cooperative, and helpful are conditions of employment with Range. Additionally, each item listed below is an essential function of this position. * Regular and timely attendance * Deal professionally and respectfully with coworkers, management and others * Read, comprehend and follow applicable policies, procedures and directions * Work with others as part of a team to ensure efficient operations and enhanced productivity * Safeguard confidential information and disclose only to those in "need-to-know" positions * Safeguard and enhance Range's assets and business interests * Consistently perform all job duties at an acceptable level Qualifications Minimum Education - BS -- Computer Information Technology, BS- Management Information Systems OR BBA -- Business Information Systems, or equivalent work experience. Minimum Experience - 7+ years' experience preferred, experience designing, building, and operating production-grade data pipelines and platforms with expertise in data warehousing, cloud data services, and data modeling practices Professional Certifications - Fabric, Databricks, Snowflake preferred Technical Skills * Database Mastery: Expert-level SQL Server and T-SQL knowledge * Cloud Platforms: Extensive hands-on experience with the Azure data stack (Data Lake Gen2, Synapse, ADF) and Microsoft Fabric. * Advanced Warehousing: Proficiency in Snowflake (micro-partitioning, clustering, Snowpipe) and Databricks (Unity Catalog, Delta Lake). * Languages: Strong coding skills in Python and PySpark for complex data transformations. * DevOps & Automation: Experience with CI/CD pipelines via Azure DevOps or GitHub Actions Conditions of Employment * Travel - Occasional * Work Conditions - Office (see footnote) * Flextime Eligible * Telecommuting Eligible (see footnote) Physical Requirement Considerations (see footnote) -- Bending, Carrying up to 20lbs, Data Entry, Filing, Holding up to 20lbs, Lifting up to 20lbs, Pushing and/or Pulling up to 20lbs, Sitting, Sorting, Standing, Typing, Vision, Walking, Writing (by hand) Working Conditions: Working conditions vary based on the location of the work performed. Work performed in an office is typically in a climate controlled indoor setting. Work performed in the field may require the employee to be subjected to seasonal field conditions ranging from normal to extreme temperature and weather conditions and employees must be able to work in remote, isolated areas. Physical Requirement Considerations: The physical requirements that are defined above are the most common requirements for this role. Exact physical requirements may vary for many reasons, including but not limited to physical location, working conditions, and responsibilities not specifically listed in this description. Final determination of physical requirements will be made by the supervisor. Telecommuting Eligibility: Jobs with responsibilities primarily done via computer and/or phone successfully may be considered eligible to telecommute. If a job is eligible for telecommuting but an individual employee's performance is not satisfactory, the employee may be required to work in the office until the work performance has developed to a satisfactory level. Telecommuting is not an entitlement, and it does not change the terms and conditions of employment with the Company.

Responsibilities

The Senior Data Engineer designs, builds, and maintains scalable cloud-based data infrastructure, including data lakes, warehouses, and ETL/ELT pipelines. They collaborate with stakeholders to ensure data quality, security, and performance while managing cloud migration strategies.