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Data Warehouse and ETL Developer

At Home662 open roles

Where
Coppell, TX, United States
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Your applicationOpen nowData Warehouse and ETL DeveloperAt Home · Coppell, TX, United States

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. At Home postings stay open a median of 3 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted today

At Home median: 3 days open

The posting

Job Description

WORK LOCATION DETAILS

Work Location: Home Office - Coppell, TX

Work Schedule: Hybrid

  • Onsite: Tuesdays, Wednesdays, and Thursdays
  • Work from Home: Mondays and Fridays

JOB SUMMARY

The Data Warehouse & ETL Developer designs, develops, maintains, and supports enterprise data warehouse solutions and data integration processes, primarily using Microsoft SQL Server and SQL Server Integration Services (SSIS). This mid-level role transforms data from multiple business systems into reliable, well-structured data models that support reporting, analytics, and business decision-making. The developer partners with technical teams and business stakeholders to deliver accurate, scalable, and maintainable data solutions.

ESSENTIAL FUNCTIONS

  • Design, develop, and maintain ETL pipelines that load and transform data in Microsoft SQL Server data warehouse environments.
  • Translate business and source-system requirements into source-to-target mappings, transformation rules, and technical designs.
  • Write and optimize complex T-SQL, stored procedures, and reusable transformations for data extraction, cleansing, integration, and validation.
  • Develop, deploy, schedule, monitor, and support SQL Server Integration Services (SSIS) packages and workflows.
  • Develop and maintain dimensional data models, including fact and dimension tables, to support reporting and analytics.
  • Create and execute unit tests, data reconciliations, and validation routines to ensure data accuracy and completeness.
  • Monitor production SSIS packages and data pipelines, troubleshoot failures and data issues, and perform root-cause analysis.
  • Optimize SQL Server queries, stored procedures, SSIS packages, and data-loading performance.
  • Follow source-control, code-review, deployment, and change-management standards.
  • Document data flows, technical designs, transformation logic, dependencies, and operational support procedures.
  • Collaborate with data architects, analysts, application teams, and business stakeholders to deliver and support dependable data solutions.

QUALIFICATIONS

  • Bachelor's degree in Computer Science, Information Systems, or a related field preferred; equivalent practical experience will be considered.
  • 3 to 5 years of hands-on experience developing and supporting data warehouse and ETL/ELT solutions.
  • Strong T-SQL skills, including complex queries, stored procedures, performance tuning, data validation, and troubleshooting.
  • Hands-on experience developing and supporting Microsoft SQL Server data warehouse solutions.
  • Strong hands-on experience with SQL Server Integration Services (SSIS), including package development, deployment, scheduling, monitoring, and error handling.
  • Experience designing and supporting ETL workflows, dependencies, restartability, logging, and production support processes.
  • Experience developing stored procedures and reusable data-transformation logic.
  • Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT best practices.
  • Experience with testing, reconciliation, production support, and root-cause analysis for data pipelines.
  • Strong analytical, organizational, and problem-solving skills.
  • Strong communication skills and the ability to collaborate effectively with both technical and business partners.

Preferred:

  • Experience in a retail environment or with retail data such as sales, inventory, merchandising, customer, loyalty, or supply chain data.
  • Experience with Snowflake, Snowpipe, or a comparable cloud data warehouse platform.
  • Experience supporting reporting and analytics tools such as Power BI or SQL Server Reporting Services (SSRS).
  • Experience with data governance, data quality tools, or cloud-based data integration patterns.
  • Experience with Azure data services or other cloud data platforms and migration initiatives.
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