Data Engineer

Core Responsibilities: 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 DevOps or GitHub Test, performance tune, and deploy data solutions Support data pipelines and products in production as part of a DevOps team Follow and contribute to team coding standards, best practices, and security guidelines Required Skills/Experience (Must-Haves) 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 DevOps 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 DevOps) 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 Preferred Skills/Experience (Nice-to-Haves) 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 GitHub 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 Key Competencies and BehaviorsHands-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 small, collaborative team Work Environment LocationFort Worth, TX, onsite (Hybrid 3x/week) 6-month contract-to-hire

Interview Process: Interview process includes two interviews, the first virtual and the second onsite Compensation & BenefitsPay Range: The approximate pay range for this position is between $31.00 and $45.00 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 KellyMitchellAt 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. We're 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 moment's notice.