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# Data Engineer

- **Company:** Relate Search
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Information Systems, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Queries, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Query Optimization, Power BI, SQL Stored Procedures, Data Processing, Azure Data Factory, Snowflake, Information Technology, Data Delivery, Data Pipelines
- **Published:** June 16, 2026
- **Apply:** https://www.dice.com/job-detail/90d72a06-2b81-4960-ad88-fc3907ec775d

## About the Role

· 6+ years of experience in data engineering or a related field.

· Advanced experience with Azure Data Factory (ADF), ETL design and implementation, and data pipeline architecture.

· Strong proficiency in SQL Server, including complex queries, optimization, and stored procedures.

· Python experience for data processing and automation.

· Strong understanding of data modeling, data quality, and performance tuning.

· Experience working in enterprise cloud-based data environments.

· Excellent problem-solving, communication, and collaboration skills.

· Bachelor''s or Master''s degree in Computer Science, Data Engineering, Information Systems, or a related field.

## Description

Relate Search has partnered with a global energy organization to recruit a Senior Data Engineer (Contract) to join their growing technology team in Downtown Houston, TX. This role will focus on building scalable, enterprise-grade data solutions that power advanced analytics and self-service business intelligence across the organization., Reporting to the GM of Engineering, the Senior Data Engineer will collaborate cross-functionally with business and technical stakeholders to design, develop, and optimize data pipelines and integrations within an established Azure and Snowflake environment. This individual will play a key role in enabling data accessibility, reducing friction in reporting workflows, and supporting the organization''s continued investment in modern data infrastructure., · Design, develop, and maintain scalable ETL workflows and data pipelines using Azure Data Factory (ADF).

· Build and support robust data integration solutions across multiple platforms and data sources.

· Optimize and manage SQL Server databases, including query tuning, stored procedures, and performance enhancements.

· Develop Python-based solutions for data transformation, automation, and analytics.

· Partner with business and technical stakeholders to gather requirements and deliver high-quality data solutions.

· Integrate and manage data within Snowflake to support enterprise analytics initiatives.

· Support Power BI reporting and dashboard initiatives by ensuring reliable and accurate data delivery.

· Ensure data quality, governance, security, and compliance best practices are followed.

· Contribute to ongoing modernization and self-service data initiatives across the organization.


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