Data Engineer

Motion Recruitment; Fort Worth (TX); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Motion Recruitment seeks a Senior Data Engineer with strong hands-on experience in SQL, relational databases, ETL/Data Engineering, Azure, data warehousing and BI/reporting. The candidate will work across the full data lifecycle and collaborate with engineering, product, and business teams to develop data solutions in a hybrid Fort Worth environment.

The role focuses on designing and delivering data pipelines, warehousing solutions, and analytics reporting, leveraging Azure Data Factory,

Qualifications

• 5+ years of hands-on Data Engineering experience.
• Strong SQL and relational database experience.
• Experience with Azure Data Factory and Databricks.
• Experience with data warehouses, modeling, and BI/Reporting.
• Ability to work with cross-functional teams and communicate clearly.

Responsibilities

• Design, develop, and support enterprise-scale data engineering and ETL solutions.
• Work extensively with SQL and relational databases, including data modeling, optimization, and performance tuning.
• Build and maintain data pipelines using Azure Data Factory, Databricks, PySpark, and related technologies.
• Develop and support data warehouses, data models, and data integration solutions.
• Work with cloud-based data platforms including Azure Data Lake, Azure SQL, and Azure Blob Storage.
• Transform and prepare data for analytics, reporting, and business intelligence.
• Develop and support BI/reporting solutions using Power BI, Tableau, and/or Cognos.
• Participate in CI/CD and DevOps processes using Azure DevOps and/or GitHub.
• Work with batch and streaming data pipelines as required.
• Collaborate with engineers, technical analysts, product owners, project managers, business teams, and other stakeholders.
• Troubleshoot production issues, improve existing applications, and support ongoing data platform enhancements.
• Follow data engineering best practices around development, testing, deployment, performance, and security.
• Contribute to technical standards and best practices while working effectively within a collaborative team.

Skills

Data engineering experience

SQL

CI/CD/DevOps

Cross-functional collaboration

Communication skills

Tools

Azure Data Factory

Azure Databricks

PySpark

Azure DevOps

GitHub

Power BI/Tableau/Cognos

Job description

We are seeking a Senior Data Engineer with strong hands‑on experience in SQL, relational databases, ETL/Data Engineering, Azure, Data Warehousing, and BI/Reporting.

The ideal candidate will be a well‑rounded Data Engineer who can work across the full data lifecycle, from data ingestion and transformation through data warehousing and ultimately delivering reporting and analytics solutions.

This is an established enterprise data environment with multiple ongoing initiatives. The selected candidate will work closely with engineering, technical, product, and business teams to develop, enhance, and support data solutions.

Location: Fort Worth, TX

Work Arrangement: Hybrid – 3 days onsite / 2 days remote

Duration: Long‑term contract with potential for extension

Key Responsibilities:

• Design, develop, and support enterprise‑scale data engineering and ETL solutions.
• Work extensively with SQL and relational databases, including data modeling, optimization, and performance tuning.
• Build and maintain data pipelines using Azure Data Factory, Databricks, PySpark, and related technologies.
• Develop and support data warehouses, data models, and data integration solutions.
• Work with cloud‑based data platforms including Azure Data Lake, Azure SQL, and Azure Blob Storage.
• Transform and prepare data for analytics, reporting, and business intelligence.
• Develop and support BI/reporting solutions using Power BI, Tableau, and/or Cognos.
• Participate in CI/CD and DevOps processes using Azure DevOps and/or GitHub.
• Work with batch and streaming data pipelines as required.
• Collaborate with engineers, technical analysts, product owners, project managers, business teams, and other stakeholders.
• Troubleshoot production issues, improve existing applications, and support ongoing data platform enhancements.
• Follow data engineering best practices around development, testing, deployment, performance, and security.
• Contribute to technical standards and best practices while working effectively within a collaborative team.

Required Skills:

• 5+ years of hands‑on Data Engineering experience
• Strong SQL and relational database experience
• Experience with SQL Server and/or Oracle
• Strong understanding of Data Warehousing and Data Modeling
• Hands‑on experience with ETL/Data Integration
• Experience with Azure Data Factory (ADF)
• Experience with Azure Databricks and/or PySpark
• Experience with Azure SQL, Azure Data Lake, or Blob Storage
• Experience with BI/Reporting tools such as Power BI, Tableau, or Cognos
• Experience with CI/CD and DevOps, preferably Azure DevOps or GitHub
• Strong communication and problem‑solving skills
• Ability to work effectively with cross‑functional teams

Preferred Skills:

• Cognos experience is highly preferred
• Experience with batch and streaming data pipelines
• Experience with Azure Event Hub, Azure Functions, or Stream Analytics
• Experience with GitHub Copilot or other AI‑assisted development tools
• Airline/transportation industry experience is a plus