Senior Azure Data Engineer

Yoh Services LLC; Plano (TX); On-site; USD 105,000 - 150,000; Full time

Benefits offered by this job

Medical, Prescription, Dental & Vision

Health Savings Account

Life & Disability Insurance

401K Retirement Savings Plan

EAP

Certification and training

Direct Deposit & weekly epayroll

Referral Bonus Programs

Job summary

Yoh is partnering with a confidential enterprise to hire a Senior Azure Data Engineer with deep expertise in Azure Databricks to design, build, and optimize a modern lakehouse data platform in Plano, TX. You’ll develop scalable ETL/ELT pipelines and enable analytics in a high-volume environment.

This hybrid role requires 5+ years of data engineering, strong Python/SQL, and hands-on experience with Delta Lake, Unity Catalog, and Azure Databricks.

Qualifications

• 5+ years data engineering, including 3+ years with Azure Databricks/Spark.
• Strong Delta Lake and Unity Catalog experience.
• Hands-on with ADLS Gen2, Event Hub, ADF, Synapse.
• Strong Python and SQL; Scala a plus.
• Experience CI/CD for Databricks using CLI/Terraform/Azure DevOps.
• Databricks certification preferred.

Responsibilities

• Design and build scalable ETL/ELT pipelines using Azure Databricks.
• Ingest data from Event Hub, APIs, Azure SQL, Blob Storage into Bronze/Silver/Gold.
• Implement Delta Lake and Unity Catalog governance.
• Tune performance and cost via partitioning and caching.
• Provide technical leadership and mentoring.
• Collaborate with architecture and security teams.

Skills

Azure Databricks

PySpark

SQL

Python

Delta Lake

Unity Catalog

Schema governance

ETL/ELT pipelines

CI/CD for Databricks

Spark tuning

Education

Bachelor’s degree in Computer Science or related

Equivalent experience

Tools

Databricks CLI

Terraform

Azure DevOps

Azure Data Factory

Job description

Senior Azure Data Engineer (Azure Databricks)

Direct Hire

Plano, TX (Hybrid)

Overview

We’re partnering with a confidential, enterprise-scale organization to hire a Senior Azure Data Engineer with deep expertise in Azure Databricks to help design, build, and optimize a modern lakehouse data platform. You’ll develop scalable ETL/ELT pipelines, implement Medallion (Bronze/Silver/Gold) patterns, and enable advanced analytics in a high-volume environment. This role collaborates closely with data architects, data scientists, business stakeholders, and cloud/infrastructure teams to deliver secure, reliable, high-performance data solutions.

What You’ll Do

• Design and build scalable ETL/ELT pipelines using Azure Databricks (PySpark, Spark SQL).
• Develop ingestion workflows from multiple source systems (e.g., Event Hub, APIs, Azure SQL, Blob Storage) into Bronze/Silver/Gold layers.
• Implement best practices for Delta Lake and Unity Catalog (schema evolution, versioning, governance).
• Optimize pipeline performance and cost through partitioning, caching, clustering, and Spark tuning.
• Integrate Databricks with ADLS Gen2, Azure Data Factory (ADF), Azure Synapse, Event Hub, Key Vault, and Azure DevOps.
• Implement secure access controls using managed identities, RBAC, and data protection practices (e.g., masking).
• Partner with analytics and business teams to deliver trusted datasets, metrics, and KPIs.
• Provide technical leadership through mentoring, code reviews, and architectural guidance.
• Work with enterprise architecture and security teams to align with data privacy/security policies.
• Implement data quality checks, alerting, and lineage tracking using tools such as Great Expectations, Unity Catalog, and data observability platforms.
• Build monitoring dashboards, alerts, and recovery mechanisms for critical pipelines.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of data engineering experience, including 3+ years with Azure Databricks / Apache Spark (PySpark).
• Strong experience with Delta Lake, Unity Catalog, Databricks notebooks, and SQL-based warehousing patterns.
• Hands‑on experience with ADLS Gen2, Event Hub, ADF, Key Vault, Synapse.
• Strong coding skills in Python and SQL; familiarity with Scalais a plus.
• Solid understanding of data modeling (OLTP/OLAP), star/snowflake schemas, and performance tuning.
• Experience implementing CI/CD for Databricks using Databricks CLI, Terraform, and/or Azure DevOps.
• Databricks certification (e.g., Databricks Certified Data Engineer Professional).
• Streaming/real-time pipelines (Structured Streaming, Event Hub, Kafka).
• ML platform exposure (e.g., MLflow or supporting ML pipelines).
• Reporting/consumption layer experience (e.g., Power BI, Purview, Microsoft Fabric).
• Knowledge of governance/compliance standards (GDPR, HIPAA, SOC2).

Estimated Min Rate

$105000.00

Estimated Max Rate

$150000.00

What’s In It for You?

Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

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