Job Summary Our client, a major U.S. airline, is looking for a Senior Data Engineer to join a team working on a new project, building new data pipelines and solutions in Azure along with some migration work. It's a contract through September 2027, hybrid in Fort Worth, TX, onsite Tuesday through Thursday. This is a back-end data engineering role. This person will build and optimize data pipelines in Databricks and PySpark, write complex SQL against enterprise data sources like Teradata, Oracle, SQL Server, and Snowflake, move data with Azure Data Factory into Azure Data Lake Storage, and work with streaming data through tools like Azure Event Hubs and Azure Data Explorer. We're looking for a senior data engineer with strong SQL, Python, PySpark, and Databricks experience and at least 4 years of hands-on work in Microsoft Azure, which is the key differentiator for this role. Experience that is mostly reporting or dashboard development, data analysis, AI or application development with light data work, or data engineering done only in AWS or GCP is not a fit. This person needs to be able to build pipelines from scratch and work with limited direction. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role. Core Responsibilities Design, build, and optimize data pipelines using Databricks and PySpark Write complex SQL against enterprise data sources such as Teradata, Oracle, SQL Server, and Snowflake Orchestrate data movement using Azure Data Factory Store and manage data in Azure Data Lake Storage and Blob Storage Migrate data from on-premises or legacy systems into Azure Ingest and process streaming data using Azure Event Hubs Work with relational and NoSQL data sources such as Cassandra and MongoDB Support analytics and reporting in Power BI Write, test, and document code according to team standards Work in an Agile, DevOps, and product model, owning work from design through deployment Required Skills/Experience (Must-Haves) Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience 5+ years of experience designing, developing, and implementing large-scale data engineering solutions 5+ years of data analytics experience using SQL with enterprise data platforms such as Teradata, Oracle, SQL Server, Snowflake, Cassandra, or MongoDB 4+ years of hands-on cloud and data lake experience in Microsoft Azure, including Azure Data Factory, Databricks, Azure Data Lake Storage, Blob Storage, Event Hubs, or Azure Functions Hands-on experience building data pipelines with Databricks and PySpark Strong Python experience Experience working in Agile and DevOps environments Located in or willing to relocate to the Dallas/Fort Worth area and work onsite Tuesday through Thursday Able to provide their own laptop Preferred Skills/Experience (Nice-to-Haves) 7+ years of data engineering and SQL analytics experience Experience migrating data from on-premises systems such as Teradata, Oracle, or SQL Server to Azure Streaming data experience with Azure Event Hubs, Azure Stream Analytics, or Azure Data Explorer (ADX) Experience with Delta Lake or medallion architecture Azure DevOps and CI/CD experience for data pipelines Power BI experience Full stack development or Power Apps experience Experience in the airline or travel industry Key Competencies and Behaviors Strong, hands-on engineer who builds pipelines and writes code daily Works independently with limited direction Able to build new solutions from scratch, not just maintain existing ones Takes ownership of work from design through deployment Detail oriented with data quality and performance Communicates clearly with engineers and stakeholders

Work Environment Location:

Hybrid in Fort Worth, TX, onsite Tuesday through Thursday, remote

Monday and Friday Schedule:

8 hours a day, Monday through Friday Contractor must provide their own laptop Contract runs through September 2027, with the possibility of extension Interview process includes one virtual round and one onsite round A screening assessment is required before submission

Compensation & Benefits Pay Range:

The approximate pay range for this position is between $37.00 and $54.00 per hour. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered About KellyMitchell At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. Were passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moments notice. Marketing Disclosure By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy [143370]