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Data Engineer - Careers at Robert Half

Robert Half

Data Engineer - Careers at Robert Half

contractPosted: Feb 3, 2026

Job Description

About the Data Engineer Role at Robert Half

Robert Half is excited to present an exceptional opportunity for a skilled Data Engineer to join our client's innovative team in Alpharetta, Georgia. This is a pivotal role supporting the development of a cutting-edge, Databricks-based data platform during its crucial early lifecycle phase. Unlike traditional production support roles focused on firefighting issues, this position emphasizes building robust, scalable data solutions from the ground up. You'll play a key role in creating reliable data pipelines, notebooks, and workflows designed for long-term success and seamless production deployment.

Working closely with our expert Data Engineering teams, you'll leverage your expertise in Databricks, PySpark, Python, and Azure cloud services to ensure the platform is optimized for performance, scalability, and maintainability. Alpharetta, GA, offers a thriving tech hub with proximity to Atlanta's major corporations, making this an ideal location for data professionals seeking impactful work in a dynamic environment. If you're passionate about distributed data processing, Spark optimization, and emerging cloud technologies, this Data Engineer position at Robert Half provides the perfect platform to advance your career.

Why This Role Stands Out

This isn't just another data engineering job—it's a chance to shape the foundation of a modern data platform. Early involvement means your contributions will define standards for years to come, offering unparalleled visibility and influence. Join a forward-thinking organization committed to innovation in big data and cloud computing.

Key Responsibilities

As a Data Engineer, your contributions will directly impact the platform's success. Here's what you'll tackle daily:

  • Develop and enhance Databricks notebooks, jobs, and workflows: Build intuitive, efficient tools that streamline data operations.
  • Write and optimize PySpark and Python code: Craft high-performance scripts for distributed data processing at scale.
  • Design scalable data pipelines: Collaborate to architect solutions that handle growing data volumes reliably.
  • Apply Spark performance best practices: Master partitioning, caching, efficient joins, and optimal file sizing to maximize throughput.
  • Manage Delta Lake tables, schemas, and data models: Ensure ACID transactions, versioning, and schema evolution for data integrity.
  • Perform data validation and quality checks: Implement rigorous testing during development to catch issues early.
  • Support cluster configuration and tuning: Optimize development workloads for cost-efficiency and speed.
  • Identify and resolve performance bottlenecks: Proactively recommend improvements before they impact production.
  • Partner with Data Engineers: Align on production readiness strategies and best practices.
  • Document standards and patterns: Create comprehensive guides to empower the team and future hires.

Required Qualifications

To excel in this Data Engineer role, you need proven technical chops and a collaborative spirit:

  • Hands-on experience with Databricks, PySpark, and Python for data engineering tasks.
  • Working knowledge of Azure cloud services, including storage, compute, and integration.
  • Strong understanding of Spark optimization techniques and distributed systems.
  • Familiarity with Delta Lake for reliable data lakes.
  • Experience building and maintaining data pipelines in development environments.
  • Analytical mindset for troubleshooting performance issues.
  • Excellent communication skills for cross-team collaboration.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Bonus points for experience with CI/CD for data platforms, advanced Azure certifications, or prior work in fintech/healthcare sectors.

Why Join Us at Robert Half?

Robert Half offers more than a job—it's a career launchpad. Enjoy a competitive salary range of $110,000 - $145,000 (based on experience), plus our renowned benefits package including health coverage, 401(k) matching, PTO, and professional growth support. Work in Alpharetta's vibrant tech scene with hybrid flexibility, cutting-edge tools, and a culture that values innovation. As a Robert Half placement, you'll benefit from our extensive network, resume optimization, and ongoing career coaching. Apply now to build the future of data engineering!

This posting is optimized for Data Engineer jobs in Alpharetta, GA, Databricks careers, PySpark opportunities, and Azure data roles. Join Robert Half's talent community today.

Locations

  • Alpharetta, Georgia, United States

Salary

Estimated Salary Rangehigh confidence

110,000 - 145,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Databricksintermediate
  • PySparkintermediate
  • Pythonintermediate
  • Azure cloud servicesintermediate
  • Spark performance optimizationintermediate
  • Delta Lakeintermediate
  • Data pipelinesintermediate
  • Cluster configurationintermediate
  • Data validationintermediate
  • Distributed data processingintermediate

Required Qualifications

  • Hands-on experience with Databricks, PySpark, and Python (experience)
  • Working understanding of Azure cloud services (experience)
  • Experience designing scalable data pipelines (experience)
  • Knowledge of Spark best practices including partitioning, caching, joins, and file sizing (experience)
  • Proficiency with Delta Lake tables, schemas, and data models (experience)
  • Strong problem-solving skills for identifying performance bottlenecks (experience)
  • Ability to document development standards and best practices (experience)
  • Collaborative mindset for partnering with Data Engineering teams (experience)

Responsibilities

  • Develop and enhance Databricks notebooks, jobs, and workflows
  • Write and optimize PySpark and Python code for distributed data processing
  • Assist in designing scalable and reliable data pipelines
  • Apply Spark performance best practices: partitioning, caching, joins, file sizing
  • Work with Delta Lake tables, schemas, and data models
  • Perform data validation and quality checks during development cycles
  • Support cluster configuration, sizing, and tuning for development workloads
  • Identify performance bottlenecks early and recommend improvements
  • Partner with Data Engineers to prepare solutions for future production rollout
  • Document development standards, patterns, and best practices

Benefits

  • general: Competitive salary and performance-based incentives
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) retirement savings plan with company matching
  • general: Paid time off and flexible work arrangements
  • general: Professional development and certification reimbursement
  • general: Access to cutting-edge cloud technologies and tools
  • general: Collaborative team environment with growth opportunities
  • general: Robert Half's industry-leading career support and networking

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Robert Half CareersJobs in Alpharetta, GAData EngineerDatabricks JobsPySpark CareersAzure Data EngineeringFinanceAccountingAdmin

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Robert Half logo

Data Engineer - Careers at Robert Half

Robert Half

Data Engineer - Careers at Robert Half

contractPosted: Feb 3, 2026

Job Description

About the Data Engineer Role at Robert Half

Robert Half is excited to present an exceptional opportunity for a skilled Data Engineer to join our client's innovative team in Alpharetta, Georgia. This is a pivotal role supporting the development of a cutting-edge, Databricks-based data platform during its crucial early lifecycle phase. Unlike traditional production support roles focused on firefighting issues, this position emphasizes building robust, scalable data solutions from the ground up. You'll play a key role in creating reliable data pipelines, notebooks, and workflows designed for long-term success and seamless production deployment.

Working closely with our expert Data Engineering teams, you'll leverage your expertise in Databricks, PySpark, Python, and Azure cloud services to ensure the platform is optimized for performance, scalability, and maintainability. Alpharetta, GA, offers a thriving tech hub with proximity to Atlanta's major corporations, making this an ideal location for data professionals seeking impactful work in a dynamic environment. If you're passionate about distributed data processing, Spark optimization, and emerging cloud technologies, this Data Engineer position at Robert Half provides the perfect platform to advance your career.

Why This Role Stands Out

This isn't just another data engineering job—it's a chance to shape the foundation of a modern data platform. Early involvement means your contributions will define standards for years to come, offering unparalleled visibility and influence. Join a forward-thinking organization committed to innovation in big data and cloud computing.

Key Responsibilities

As a Data Engineer, your contributions will directly impact the platform's success. Here's what you'll tackle daily:

  • Develop and enhance Databricks notebooks, jobs, and workflows: Build intuitive, efficient tools that streamline data operations.
  • Write and optimize PySpark and Python code: Craft high-performance scripts for distributed data processing at scale.
  • Design scalable data pipelines: Collaborate to architect solutions that handle growing data volumes reliably.
  • Apply Spark performance best practices: Master partitioning, caching, efficient joins, and optimal file sizing to maximize throughput.
  • Manage Delta Lake tables, schemas, and data models: Ensure ACID transactions, versioning, and schema evolution for data integrity.
  • Perform data validation and quality checks: Implement rigorous testing during development to catch issues early.
  • Support cluster configuration and tuning: Optimize development workloads for cost-efficiency and speed.
  • Identify and resolve performance bottlenecks: Proactively recommend improvements before they impact production.
  • Partner with Data Engineers: Align on production readiness strategies and best practices.
  • Document standards and patterns: Create comprehensive guides to empower the team and future hires.

Required Qualifications

To excel in this Data Engineer role, you need proven technical chops and a collaborative spirit:

  • Hands-on experience with Databricks, PySpark, and Python for data engineering tasks.
  • Working knowledge of Azure cloud services, including storage, compute, and integration.
  • Strong understanding of Spark optimization techniques and distributed systems.
  • Familiarity with Delta Lake for reliable data lakes.
  • Experience building and maintaining data pipelines in development environments.
  • Analytical mindset for troubleshooting performance issues.
  • Excellent communication skills for cross-team collaboration.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Bonus points for experience with CI/CD for data platforms, advanced Azure certifications, or prior work in fintech/healthcare sectors.

Why Join Us at Robert Half?

Robert Half offers more than a job—it's a career launchpad. Enjoy a competitive salary range of $110,000 - $145,000 (based on experience), plus our renowned benefits package including health coverage, 401(k) matching, PTO, and professional growth support. Work in Alpharetta's vibrant tech scene with hybrid flexibility, cutting-edge tools, and a culture that values innovation. As a Robert Half placement, you'll benefit from our extensive network, resume optimization, and ongoing career coaching. Apply now to build the future of data engineering!

This posting is optimized for Data Engineer jobs in Alpharetta, GA, Databricks careers, PySpark opportunities, and Azure data roles. Join Robert Half's talent community today.

Locations

  • Alpharetta, Georgia, United States

Salary

Estimated Salary Rangehigh confidence

110,000 - 145,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Databricksintermediate
  • PySparkintermediate
  • Pythonintermediate
  • Azure cloud servicesintermediate
  • Spark performance optimizationintermediate
  • Delta Lakeintermediate
  • Data pipelinesintermediate
  • Cluster configurationintermediate
  • Data validationintermediate
  • Distributed data processingintermediate

Required Qualifications

  • Hands-on experience with Databricks, PySpark, and Python (experience)
  • Working understanding of Azure cloud services (experience)
  • Experience designing scalable data pipelines (experience)
  • Knowledge of Spark best practices including partitioning, caching, joins, and file sizing (experience)
  • Proficiency with Delta Lake tables, schemas, and data models (experience)
  • Strong problem-solving skills for identifying performance bottlenecks (experience)
  • Ability to document development standards and best practices (experience)
  • Collaborative mindset for partnering with Data Engineering teams (experience)

Responsibilities

  • Develop and enhance Databricks notebooks, jobs, and workflows
  • Write and optimize PySpark and Python code for distributed data processing
  • Assist in designing scalable and reliable data pipelines
  • Apply Spark performance best practices: partitioning, caching, joins, file sizing
  • Work with Delta Lake tables, schemas, and data models
  • Perform data validation and quality checks during development cycles
  • Support cluster configuration, sizing, and tuning for development workloads
  • Identify performance bottlenecks early and recommend improvements
  • Partner with Data Engineers to prepare solutions for future production rollout
  • Document development standards, patterns, and best practices

Benefits

  • general: Competitive salary and performance-based incentives
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) retirement savings plan with company matching
  • general: Paid time off and flexible work arrangements
  • general: Professional development and certification reimbursement
  • general: Access to cutting-edge cloud technologies and tools
  • general: Collaborative team environment with growth opportunities
  • general: Robert Half's industry-leading career support and networking

Target Your Resume for "Data Engineer - Careers at Robert Half" , Robert Half

Get personalized recommendations to optimize your resume specifically for Data Engineer - Careers at Robert Half. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineer - Careers at Robert Half" , Robert Half

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Robert Half CareersJobs in Alpharetta, GAData EngineerDatabricks JobsPySpark CareersAzure Data EngineeringFinanceAccountingAdmin

Answer 10 quick questions to check your fit for Data Engineer - Careers at Robert Half @ Robert Half.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.