Data Engineer

KellyMitchell Group; Fort Worth (TX); Hybrid; USD 88,828,000 - 128,943,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Insurance

Employee-Owned Profit Sharing (ESOP)

401K offered

Job summary

KellyMitchell is seeking a Data Engineer for a major U.S. airline in Fort Worth, TX. This 6-month contract-to-hire role is onsite with hybrid schedule (3x/week). You will build and support Azure data pipelines feeding analytics, reporting, and BI, using SQL and Python to ingest, transform, and model data.

You will deploy CI/CD pipelines, collaborate with source teams and product owners, and support production data assets as part of a small DevOps team. Prior Azure hands-on experience is required.

Qualifications

• 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 with 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)

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

Skills

SQL

Python

DevOps

Agile

Education

Bachelor's degree in CS/Engineering/IS or related

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Blob Storage

Event Hub

Azure DevOps

Job description

Job Summary

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 DevOps 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.

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 Behaviors

• 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 small, collaborative team

Work Environment Location

Fort 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 & Benefits

Pay 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 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. 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.