Senior Data Engineer

Senior Data Engineer

Plano, TX \| On-site (Fridays from home after 90 days)

We are working with a client that develops and delivers technology solutions used by businesses across the U.S. With a focus on scalable, data-driven products, the company continues to invest in its technology and engineering capabilities.

They are looking for an experienced

Senior Data Engineer

to join their team in Plano, Texas. You’ll play a key role in developing and optimizing a modern Azure data platform, working with high-volume datasets and building scalable solutions that support analytics and wider business needs.

This is an

on-site position

, requiring you to commute to Plano, TX daily.

Responsibilities

• Design and develop scalable ETL/ELT pipelines using

Azure Databricks, PySpark, and Spark SQL

• Build data ingestion workflows across sources including

Event Hub, APIs, Azure SQL, and Blob Storage

• Develop and maintain

Bronze, Silver, and Gold layers

within a medallion architecture

• Implement best practices across

Delta Lake and Unity Catalog

, including schema evolution, versioning, and governance

• Optimize large-scale data pipelines for performance and cost through partitioning, caching, clustering, and Spark configuration tuning
• Integrate Databricks with

ADLS Gen2, Azure Data Factory, Azure Synapse, Event Hub, Key Vault, and Azure DevOps

• Implement secure data access using managed identities, RBAC, and data masking
• Work with data analysts, data scientists, business stakeholders, architects, and cloud teams to deliver trusted datasets and KPIs
• Provide technical guidance and mentorship to junior engineers, including code reviews and architectural input
• Partner with enterprise architecture and information security teams to support data security and privacy requirements
• Implement data quality checks, alerts, and lineage tracking using tools such as

Great Expectations, Unity Catalog, and data observability platforms

• Build monitoring, alerting, and recovery processes for mission-critical data pipelines

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5\+ years of data engineering experience
• 3\+ years of hands-on experience with

Azure Databricks and Spark/PySpark

• Strong expertise in

Delta Lake, Unity Catalog, Databricks Notebooks, and SQL Warehousing

• Hands-on experience with

ADLS Gen2, Event Hub, Azure Data Factory, Key Vault, and Azure Synapse

• Strong programming skills in

Python and SQL

, with familiarity with Scala

• Solid understanding of

OLTP/OLAP data modelling, star and snowflake schemas, and performance tuning

• Experience implementing CI/CD for Databricks using

Databricks CLI, Terraform, or Azure DevOps

Additional experience that would be beneficial includes

• Databricks certification, such as Databricks Certified Data Engineer Professional
• Real-time streaming technologies including Structured Streaming, Event Hub, or Kafka
• MLflow or supporting machine learning pipelines within Databricks
• Power BI, Azure Purview, or Microsoft Fabric
• Data governance, lineage, and compliance standards including GDPR, HIPAA, and SOC 2