Azure Data Engineer

Yoh Services LLC; Plano (TX); On-site; USD 77,000 - 110,000; Full time

Benefits offered by this job

Medical, Prescription, Dental & Vision

Health Savings Account (HSA)

Life & Disability Insurance

401K Retirement Savings Plan

Certification and training

Job summary

Yoh Services LLC is seeking a Senior Azure Data Engineer to design, build, and optimize a modern lakehouse on Azure Databricks in Plano, TX. The role is hybrid, collaborating with data architects, scientists, and stakeholders to deliver scalable, secure data solutions.

You will develop end-to-end ETL/ELT pipelines, implement Bronze/Silver/Gold patterns, and drive data quality, governance, and observability across high-volume environments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience.
• 2+ years of data engineering, with 3+ years in Azure Databricks / Apache Spark (PySpark).
• Strong experience with Delta Lake, Unity Catalog, and SQL-based warehousing patterns.
• Hands-on with ADLS Gen2, Event Hub, ADF, Key Vault, Synapse.
• Python and SQL coding; Scala knowledge is a plus.
• Experience with CI/CD for Databricks using Databricks CLI, Terraform, or Azure DevOps.

Responsibilities

• Design and build scalable ETL/ELT pipelines on Azure Databricks.
• Develop ingestions from Event Hub, APIs, and storage into Bronze/Silver/Gold zones.
• Implement Delta Lake governance, schema evolution, and data quality checks.
• Optimize pipelines for performance and cost; tune Spark settings.
• Integrate with ADLS Gen2, ADF, Synapse, and data security controls.
• Provide technical leadership through reviews and architectural guidance.

Skills

Python

SQL

Spark / PySpark

Delta Lake

Unity Catalog

Azure Databricks

CI/CD

Databricks CLI

Education

Bachelor's degree in CS/Engineering

Tools

ADLS Gen2

Event Hub

Azure Data Factory

Azure Synapse

Key Vault

Terraform

Azure DevOps

Job description

Azure Data Engineer (Azure Databricks)

Direct Hire

Plano, TX (Hybrid)

Overview

We’re partnering with aconfidential, enterprise-scale organizationto hire a Senior Azure Data Engineer with deep expertise inAzure Databricksto help design, build, and optimize a modernlakehouse 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 scalableETL/ELT pipelinesusingAzure Databricks(PySpark, Spark SQL).
• Develop ingestion workflows from multiple source systems (e.g.,Event Hub, APIs, Azure SQL, Blob Storage) intoBronze/Silver/Goldlayers.
• Implement best practices forDelta LakeandUnity Catalog(schema evolution, versioning, governance).
• Optimize pipeline performance and cost through partitioning, caching, clustering, and Spark tuning.
• Integrate Databricks withADLS Gen2, Azure Data Factory (ADF), Azure Synapse, Event Hub, Key Vault, and Azure DevOps.
• Implement secure access controls usingmanaged 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 asGreat 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).
• 2+ years of data engineering experience, including 3+ years withAzure Databricks / Apache Spark (PySpark).
• Strong experience withDelta Lake,Unity Catalog, Databricks notebooks, and SQL-based warehousing patterns.
• Hands‑on experience withADLS Gen2, Event Hub, ADF, Key Vault, Synapse.
• Strong coding skills inPython and SQL; familiarity withScalais a plus.
• Solid understanding of data modeling (OLTP/OLAP), star/snowflake schemas, and performance tuning.
• Experience implementing CI/CD for Databricks usingDatabricks 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.,MLflowor 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: $77000.00

Estimated Max Rate: $110000.00

What’s In It for You?

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

• 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. All qualified applicants are welcome to apply.

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.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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