Senior Azure Databricks Data Engineer

Location: Fort Worth, Texas, United States; hybrid schedule with mandatory onsite work Tuesday through Thursday and virtual work on Mondays and Fridays.

Salary: $60–$65 per hour

Company

hirify.global provides information technology and workforce solutions through a large professional services organization operating across the United States and Canada.

What you will do

• Design and implement scalable data and application solutions using Python, Spark, Databricks, Azure Cloud, and Azure ML.
• Build, maintain, and optimize complex ETL/ELT pipelines for large-scale datasets from diverse sources.
• Improve Python and Spark performance and cost efficiency through partitioning, caching, cluster tuning, and bottleneck analysis.
• Implement data governance and security controls, including access management, encryption, data lineage, and Unity Catalog.
• Develop CI/CD pipelines, monitoring, logging, and alerting for production data assets and infrastructure.
• Support multiple agile pods through architecture guidance, planning, code reviews, technical interviews, and delivery tracking.

Requirements

• 7–10 years of software engineering and data engineering experience, including at least 7 years with Python, ETL development, data handling, and SQL.
• At least 5 years of production experience with Spark and Databricks programming.
• Strong experience with Azure Cloud services, including Azure ML, and with complex ETL/ELT pipelines.
• Experience with data governance, security, compliance, CI/CD, monitoring, logging, alerting, and the full SDLC.
• Advanced proficiency in Python, Scala, and/or SQL, plus strong communication and agile collaboration skills.
• Ability to attend mandatory onsite work and interviews in Fort Worth Tuesday through Thursday.

Nice to have

• Experience with Java and Spring.
• Broad knowledge of Azure services and their integration in data and application architectures.

Culture & Benefits

• Work across multiple agile, pod-based teams with cross-functional collaboration.
• Full-time consultants may receive medical, dental, and vision benefits.
• Benefits may include 401K contributions, PTO, sick leave, and other applicable statutory benefits.
• AI tools are used to support application evaluation and improve productivity and code quality.

Hiring process

• Multi-round process including a virtual interview, a mandatory onsite interview, and a coding assignment.
• Selected candidates may participate in technical interviews and coding assessments.