Data Engineer

Our client, a major U.S. airline, is looking for a Data Engineer to join their Data Engineering, Automation & Analytics team. It's a 6-month contract-to-hire role, onsite in Fort Worth, TX. This person will build and support the Azure data pipelines that feed the company's analytics, reporting, and BI. They'll write SQL and Python to ingest, transform, and model data, build batch and streaming pipelines, handle deployments through CI/CD, and support the product in production as part of a small Dev Ops team, working closely with senior developers.

We're looking for someone who is actively building data pipelines in Microsoft Azure today using SQL and Python, which is the key differentiator for this role. Experience limited to writing reports, dashboards, or SQL queries without building pipelines is not a fit, and data engineering experience limited entirely to AWS, GCP, or on-prem tools with no hands-on Azure is not a strong fit.

This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.

• Build and support batch and streaming data pipelines using Azure services such as Data Factory, Databricks, Event Hub, Stream Analytics, and Azure Functions
• Write SQL and Python to ingest, transform, and model data for analytics and reporting
• Work with source application teams and product owners to design and implement analytics solutions
• Implement data migration solutions using Azure and traditional data warehouse tools
• Build and maintain CI/CD pipelines using Azure Dev Ops or Git Hub
• Test, performance tune, and deploy data solutions
• Support data pipelines and products in production as part of a Dev Ops team
• Follow and contribute to team coding standards, best practices, and security guidelines

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Engineering, or related field, or equivalent experience
• 3 to 5 years of hands-on data engineering or software development experience in an agile or Dev Ops environment
• 3+ years of experience using SQL for data analytics and transformation
• Hands-on, current experience developing in Python 3+ years of cloud development and data lake experience, with hands-on Microsoft Azure experience (Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Blob Storage, Event Hub, or Azure Dev Ops)
• Experience building data pipelines end to end, from source ingestion through transformation and delivery
• Experience supporting data pipelines or applications in production
• Open to converting to a full-time role
• Located in the Dallas-Fort Worth area or willing to relocate

• Spark, PySpark, or Databricks development experience
• Real-time or streaming pipeline experience (Event Hub, Stream Analytics, Kafka)
• Teradata development or administration, including migrations from Teradata to the cloud
• Azure Data Explorer (ADX) experience
• Experience with Snowflake, Oracle, SQL Server, Cassandra, or MongoDB
• Experience with CI/CD and infrastructure tools such as Terraform, Jenkins, or Git Hub
• Experience BI tools such as Power BI, Tableau, Cognos, Alteryx, or Grafana
• Experience with data governance tools such as Alation, Monte Carlo, Informatica, or BigID
• Airline or travel industry experience
• Azure or Spark certification

• Hands-on builder who is comfortable working across the full data pipeline
• Strong understanding of software design principles and big data concepts
• Takes direction well and works closely with senior developers
• Takes ownership of problems and supports what they build in production
• Communicates clearly with engineers, product owners, and business teams
• Strong work ethic and comfortable in a…