Data Engineer

Veridic Solutions; McKinney (TX); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Veridic Solutions is hiring a Jr. Data Engineer in McKinney, TX with a hybrid work model. The role focuses on hands-on Azure Data Factory and Databricks work, building both batch and streaming data pipelines within Agile and DevOps teams.

The ideal candidate has 2–4 years of data engineering experience, strong SQL and data analytics skills, and proficiency in Python, Spark, and cloud data lake technologies. Collaboration with cross-functional teams is essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; equivalent experience considered.
• 3+ years of data engineering/software development experience within Agile and DevOps environments.
• 3+ years of SQL and data analytics experience.
• 3+ years of cloud/data lake experience, preferably Microsoft Azure.
• Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake/Blob Storage, and Azure DevOps.
• Strong development/scripting experience with Python, Spark, and SQL.
• Experience building batch and/or streaming data pipelines.
• Experience with CI/CD and source control using tools such as GitHub, Jenkins, Azure DevOps, or Terraform.
• Strong communication skills with the ability to work across technical and business teams.

Skills

Python

Spark

SQL

Azure Data Factory

Azure Databricks

Azure Data Lake/Blob Storage

Azure DevOps

CI/CD

GitHub

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Jenkins

Terraform

Job description

Role- Jr. Data Engineer

Location – McKinney, TX - Hybrid

Notes - Focus on 2–4 years of experience with strong hands-on Azure Data Factory (ADF) and Databricks.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; equivalent experience considered.
• 3+ years of data engineering/software development experience within Agile and DevOps environments.
• 3+ years of SQL and data analytics experience.
• 3+ years of cloud/data lake experience, preferably Microsoft Azure.
• Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake/Blob Storage, and Azure DevOps.
• Strong development/scripting experience with Python, Spark, and SQL.
• Experience building batch and/or streaming data pipelines.
• Experience with CI/CD and source control using tools such as GitHub, Jenkins, Azure DevOps, or Terraform.
• Strong communication skills with the ability to work across technical and business teams.

Preferred Qualifications

• 5+ years of data engineering/software development experience.
• Experience with Azure Event Hubs, Azure Functions, Azure Data Explorer, or Azure Stream Analytics.
• Experience with data platforms such as Teradata, Snowflake, SQL Server, Oracle, Cassandra, or MongoDB.
• Experience with Power BI, Tableau, Grafana, or other BI/analytics tools.
• Data governance experience with tools such as Alation, Informatica, Monte Carlo, or BigID.
• Teradata Vantage development/administration experience.
• Airline industry experience.
• Azure and/or Spark certification preferred.