Senior Data Engineer

Addison Group; Dallas (TX); On-site; USD 120,000 - 140,000; Full time

Job summary

Addison Group is seeking a Senior Data Engineer in Coppell, TX to design, build, maintain, and automate enterprise data pipelines in the Azure cloud. The role emphasizes Databricks expertise and end-to-end data architecture delivery on Azure/AWS environments.

The ideal candidate has 8+ years in data engineering, strong SQL/ETL skills, and experience with CI/CD and PySpark/Scala. Collaboration with New Development and Data Reporting teams is essential for delivering robust data solutions.

Qualifications

• 8+ years in data engineering or BI.
• Expert in Microsoft Azure and Databricks.
• Experience designing and automating enterprise data pipelines in cloud.
• Proficient in SQL ETL, SSIS packages.

Responsibilities

• Design, build, maintain, and automate cloud-based data pipelines and architecture.

Skills

Databricks

Azure Data Factory

Cloud (Azure/AWS)

SQL

PySpark

Scala

CI/CD

Azure DevOps

Tools

Azure DevOps

Job description

Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the "New Development" and "Data Reporting" teams but will be primarily tasked with designing, building, maintaining, and automating their enterprise data architecture/pipelines within the cloud.

Title: Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the "New Development" and "Data Reporting" teams but will be primarily tasked with designing, building, maintaining, and automating their enterprise data architecture/pipelines within the cloud. Technology-wise we are needing to come with skills in Azure Databricks (5+ years), cloud-based environment (Azure and/or AWS), Azure DevOps (ADO), SQL (ETL, SSIS packages), and PySpark or Scala automation. Architecture experience in building pipelines, data modeling, data pipeline deployment, data mapping, etc. Personality-wise we need an Engineer who is able to assess, breakdown, and complete tasks without them needing too much direction. There is a lot of ambiguous data that they need to help with define, uncover, and resolve. Most of the work will be done from a solo capacity but collaboration for the data and what defines success is crucial. Top Skills:

• 8+ Years of Data Engineer/Business Intelligence
• Databricks and Azure Data Factory (ADF) (Need version on resume): *Most updates is Unity Catalog for Databricks*
• Cloud-based environments (Azure or AWS)
• Data Pipeline Architecture and CI/CD methodology
• SQL
• Automation (Python (PySpark), Scala)