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# Senior Data Engineer

- **Company:** Paul Hastings LLP
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $134,500 - $194,750
- **Contract:** Temporary contract
- **Skills:** JIRA, Build Automation, Microsoft Azure, Business Intelligence Development, Cloud Computing, Code Review, System Configuration, Continuous Integration, Information Engineering, Data Integration, Data Systems, DevOps, JSON, Python (Programming Language), Log Analysis, Meta-Data Management, Performance Tuning, Role-Based Access Control, Release Management, Power BI, Standard Sql, Software Configuration Management, SQL Databases, Parquet, Delivery Pipeline, Snowflake, Git, Data Lakes, Pyspark, Semi-structured Data, Git Flow, Information Technology, Avro, Atlassian Tools, Microsoft Tfs, Data Management, Software Version Control, Data Pipelines, Databricks, Web Api
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-dallas-tx--b53f551f-f8dc-4573-a4c3-3b0e93098637

## About the Role

Legal, International Law, Time Management, Power BI, Data Management, DevOps, Microsoft Windows Azure, Cloud Computing, Structured Data, Architectural Analysis, * Advanced proficiency in Azure Databricks;

 * Experience building and managing CI/CD pipelines in Azure DevOps for data solutions;
 * Strong SQL and ELT experience; familiarity with schema design (e.g., star, snowflake, denormalized);
 * Hands-on expertise with PySpark and Databricks notebooks, including Delta Lake workflows;
 * Familiarity with Git, branching strategies and repository management within Azure Repos;
 * Understanding of data security and privacy best practices in Azure (RBAC, managed identities, encryption);
 * Experience with Power BI dataflows, datasets and refresh configuration (preferred);
 * Familiarity with data cataloging and governance tools (e.g., Microsoft Purview) a plus; and
 * Experience with Agile tools such as Azure Boards or JIRA., * Bachelor's degree in Computer Science, Engineering or related field (required);
 * 7+ years of data engineering or BI development experience;
 * 3+ years building data solutions in Microsoft Azure Cloud;
 * 2+ years using Azure DevOps for automated builds, releases and pipeline orchestration;
 * Proven experience working with structured and semi-structured data (Parquet, JSON, Avro); and
 * Experience in professional services, legal, or financial environments preferred.

## Description

The Senior Data Engineer is responsible for designing, building and maintaining modern data pipelines and data integration solutions in the Azure Cloud. This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts, and business stakeholders to deliver scalable, secure and efficient data solutions using Azure Databricks, and Azure DevOps., In this capacity, the Senior Data Engineer will:

 * Design, build and manage scalable data pipelines using Azure Databricks;
 * Develop ELT frameworks for ingesting and transforming structured and semi-structured data from on-prem and cloud sources - including cloud based API's;
 * Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring using Azure DevOps;
 * Ensure pipeline performance, reliability and observability using tools like Azure Monitor and Log Analytics;
 * Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance;
 * Automate environment setup, configuration and permissions using infrastructure-as-code where possible;
 * Write modular, testable code in SQL, Python or PySpark and manage version control with Git;
 * Support production operations, root cause analysis and performance tuning;
 * Understand data sources and data relationship models.
 * Maintain technical documentation for pipelines, data mappings and deployment processes;
 * Work as part of an Agile delivery team, participating in sprints, retrospectives and code review; and
 * Mentor junior data engineers and promote best practices in CI/CD, version control, and release management.