Sr Data Engineer

Range Resources

Fort Worth, TX

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JOB DETAILS

SKILLS

Architectural Design, Automation, Business Solutions, Cisco Unity, Cloud Computing, Coaching, Computer Programming, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Analysis, Data Entry, Data Lake, Data Quality, Data Science, Database Extract Transform and Load (ETL), DevOps, GitHub, Identify Issues, Information Technology & Information Systems, Lift/Move 20 Pounds, Management of Information Systems/Technology (MIS), Microsoft Product Family, Microsoft SQL Server, Microsoft Transact-SQL (T-SQL), Microsoft Windows Azure, Migration Strategy, Multiplatform/Cross-Platform, Operations Management, Performance Tuning/Optimization, Physical Demands, Python Programming/Scripting Language, Scalable System Development, Snowflake Schema, Team Player, Technical/Engineering Design, Time Management, Typing, Warehousing, Work From Home

LOCATION

Fort Worth, TX

POSTED

Today

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

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.

About the Company

Range Resources

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