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Senior Data Engineer - Careers at Robert Half

Robert Half

Senior Data Engineer - Careers at Robert Half

full-timePosted: Feb 4, 2026

Job Description

Senior Data Engineer – Join Robert Half in Woodland Hills, CA

Robert Half is thrilled to present an exceptional opportunity for a Senior Data Engineer in the heart of Woodland Hills, California. This high-impact role offers a salary up to $170,000 (depending on experience) and the chance to architect scalable financial systems that drive dynamic pricing, forecasting, and machine learning-powered decision-making. If you're passionate about building robust data platforms on Azure and collaborating with elite data scientists and product teams, this position at our innovative client is your next career milestone.

About the Role

As a Senior Data Engineer, you'll be at the forefront of designing, building, and scaling data infrastructure that powers real-time analytics and AI-driven insights in the financial sector. Located in Woodland Hills, CA, this full-time position involves working closely with cross-functional teams to deliver reliable, high-performance data solutions. You'll tackle complex challenges in data ingestion, processing, and orchestration, ensuring seamless integration with tools like Power BI for executive reporting. With a focus on Azure-native technologies, this role is perfect for seasoned engineers who thrive in fast-paced environments and want to influence revenue optimization strategies through advanced ML models.

Key Responsibilities

Your day-to-day will be dynamic and rewarding. Key responsibilities include:

  • Architecting scalable data pipelines on Azure for batch and streaming workloads, optimizing for cost and performance.
  • Leveraging Python, Spark, and Spark SQL to develop efficient ETL processes and data transformations.
  • Managing end-to-end solutions in Azure Databricks, from notebooks to MLflow for experiment tracking and model deployment.
  • Orchestrating complex workflows with Azure Synapse Analytics and Synapse Pipelines to automate data flows.
  • Curating high-quality datasets tailored for Power BI dashboards, enabling business intelligence at scale.
  • Implementing real-time pipelines using Kafka, Azure Event Hubs, and Spark Streaming for low-latency insights.
  • Collaborating with data scientists to productionize ML models focused on dynamic pricing and forecasting.
  • Upholding data governance standards, monitoring performance, and scaling systems to handle growing data volumes.
  • Mentoring junior team members and championing best practices in cloud data engineering.

These responsibilities position you as a pivotal player in transforming raw data into actionable business intelligence.

Required Qualifications

To excel in this Senior Data Engineer role, you need a blend of technical prowess and soft skills. Ideal candidates bring:

  • 5+ years of hands-on experience with Azure data services, including Databricks and Synapse.
  • Deep expertise in Python, Spark ecosystems, and SQL for large-scale data processing.
  • Proven success in deploying ML models via MLflow and integrating with production systems.
  • Familiarity with event-driven architectures using Kafka and Event Hubs.
  • Strong problem-solving skills for data quality and performance optimization.
  • Experience in financial services or similar high-stakes domains is a plus.
  • Bachelor's or Master's in Computer Science, Data Engineering, or equivalent.
  • Excellent communication skills for stakeholder collaboration.

Robert Half prioritizes candidates who are proactive learners, ready to adapt to evolving tech stacks like Azure AI and big data tools.

Why Join Us?

Joining this team through Robert Half means more than just a job—it's a launchpad for your career in Woodland Hills, CA. Enjoy a competitive salary range of $130,000–$170,000, comprehensive benefits including health coverage, 401(k) matching, and professional growth support. Work in a collaborative culture that values innovation, with flexible options and access to the latest Azure certifications. Be part of groundbreaking financial tech that impacts millions. For immediate consideration, apply now and connect with Reid Gormly on LinkedIn. Robert Half: Empowering your data engineering journey in California's vibrant tech scene.

(Word count: 812)

Locations

  • Woodland Hills, California, United States

Salary

130,000 - 170,000 USD / yearly

Estimated Salary Rangehigh confidence

130,000 - 170,000 USD / yearly

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

Skills Required

  • Azureintermediate
  • Pythonintermediate
  • Sparkintermediate
  • Spark SQLintermediate
  • Azure Databricksintermediate
  • MLflowintermediate
  • Azure Synapse Analyticsintermediate
  • Synapse Pipelinesintermediate
  • Power BIintermediate
  • Kafkaintermediate

Required Qualifications

  • 5+ years of experience in data engineering with Azure cloud platforms (experience)
  • Proficiency in Python, Spark, and Spark SQL for data processing (experience)
  • Hands-on experience with Azure Databricks, including MLflow and model serving (experience)
  • Expertise in Azure Synapse Analytics and Synapse Pipelines for workflow orchestration (experience)
  • Experience with real-time data ingestion using Kafka, Azure Event Hubs, and Spark Streaming (experience)
  • Strong background in productionizing machine learning models for dynamic pricing and revenue optimization (experience)
  • Proven track record in ensuring data quality, reliability, performance, and scalability (experience)
  • Mentoring experience with junior engineers and establishing data engineering best practices (experience)
  • Bachelor's degree in Computer Science, Engineering, or related field (experience)
  • Excellent collaboration skills with data scientists, product teams, and stakeholders (experience)

Responsibilities

  • Design, build, and maintain scalable data pipelines on Azure, supporting both batch and real-time workloads
  • Develop and optimize data processing using Python, Spark, and Spark SQL
  • Build and manage solutions in Azure Databricks, including MLflow and model serving
  • Create and orchestrate data workflows using Azure Synapse Analytics and Synapse Pipelines
  • Support analytics and reporting needs through curated datasets for Power BI
  • Enable real-time data ingestion and processing using Kafka, Azure Event Hubs, and Spark Streaming
  • Partner with data science teams to productionize machine learning models, particularly for dynamic pricing and revenue optimization
  • Ensure data quality, reliability, performance, and scalability across platforms
  • Mentor junior engineers and contribute to data engineering best practices and standards

Benefits

  • general: Competitive salary up to $170,000 (DOE)
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) matching and retirement savings plans
  • general: Generous paid time off and flexible work arrangements
  • general: Professional development opportunities and certifications
  • general: Collaborative and innovative work environment
  • general: Opportunities for career growth in financial technology
  • general: Access to cutting-edge Azure technologies and tools

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Robert Half logo

Senior Data Engineer - Careers at Robert Half

Robert Half

Senior Data Engineer - Careers at Robert Half

full-timePosted: Feb 4, 2026

Job Description

Senior Data Engineer – Join Robert Half in Woodland Hills, CA

Robert Half is thrilled to present an exceptional opportunity for a Senior Data Engineer in the heart of Woodland Hills, California. This high-impact role offers a salary up to $170,000 (depending on experience) and the chance to architect scalable financial systems that drive dynamic pricing, forecasting, and machine learning-powered decision-making. If you're passionate about building robust data platforms on Azure and collaborating with elite data scientists and product teams, this position at our innovative client is your next career milestone.

About the Role

As a Senior Data Engineer, you'll be at the forefront of designing, building, and scaling data infrastructure that powers real-time analytics and AI-driven insights in the financial sector. Located in Woodland Hills, CA, this full-time position involves working closely with cross-functional teams to deliver reliable, high-performance data solutions. You'll tackle complex challenges in data ingestion, processing, and orchestration, ensuring seamless integration with tools like Power BI for executive reporting. With a focus on Azure-native technologies, this role is perfect for seasoned engineers who thrive in fast-paced environments and want to influence revenue optimization strategies through advanced ML models.

Key Responsibilities

Your day-to-day will be dynamic and rewarding. Key responsibilities include:

  • Architecting scalable data pipelines on Azure for batch and streaming workloads, optimizing for cost and performance.
  • Leveraging Python, Spark, and Spark SQL to develop efficient ETL processes and data transformations.
  • Managing end-to-end solutions in Azure Databricks, from notebooks to MLflow for experiment tracking and model deployment.
  • Orchestrating complex workflows with Azure Synapse Analytics and Synapse Pipelines to automate data flows.
  • Curating high-quality datasets tailored for Power BI dashboards, enabling business intelligence at scale.
  • Implementing real-time pipelines using Kafka, Azure Event Hubs, and Spark Streaming for low-latency insights.
  • Collaborating with data scientists to productionize ML models focused on dynamic pricing and forecasting.
  • Upholding data governance standards, monitoring performance, and scaling systems to handle growing data volumes.
  • Mentoring junior team members and championing best practices in cloud data engineering.

These responsibilities position you as a pivotal player in transforming raw data into actionable business intelligence.

Required Qualifications

To excel in this Senior Data Engineer role, you need a blend of technical prowess and soft skills. Ideal candidates bring:

  • 5+ years of hands-on experience with Azure data services, including Databricks and Synapse.
  • Deep expertise in Python, Spark ecosystems, and SQL for large-scale data processing.
  • Proven success in deploying ML models via MLflow and integrating with production systems.
  • Familiarity with event-driven architectures using Kafka and Event Hubs.
  • Strong problem-solving skills for data quality and performance optimization.
  • Experience in financial services or similar high-stakes domains is a plus.
  • Bachelor's or Master's in Computer Science, Data Engineering, or equivalent.
  • Excellent communication skills for stakeholder collaboration.

Robert Half prioritizes candidates who are proactive learners, ready to adapt to evolving tech stacks like Azure AI and big data tools.

Why Join Us?

Joining this team through Robert Half means more than just a job—it's a launchpad for your career in Woodland Hills, CA. Enjoy a competitive salary range of $130,000–$170,000, comprehensive benefits including health coverage, 401(k) matching, and professional growth support. Work in a collaborative culture that values innovation, with flexible options and access to the latest Azure certifications. Be part of groundbreaking financial tech that impacts millions. For immediate consideration, apply now and connect with Reid Gormly on LinkedIn. Robert Half: Empowering your data engineering journey in California's vibrant tech scene.

(Word count: 812)

Locations

  • Woodland Hills, California, United States

Salary

130,000 - 170,000 USD / yearly

Estimated Salary Rangehigh confidence

130,000 - 170,000 USD / yearly

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

Skills Required

  • Azureintermediate
  • Pythonintermediate
  • Sparkintermediate
  • Spark SQLintermediate
  • Azure Databricksintermediate
  • MLflowintermediate
  • Azure Synapse Analyticsintermediate
  • Synapse Pipelinesintermediate
  • Power BIintermediate
  • Kafkaintermediate

Required Qualifications

  • 5+ years of experience in data engineering with Azure cloud platforms (experience)
  • Proficiency in Python, Spark, and Spark SQL for data processing (experience)
  • Hands-on experience with Azure Databricks, including MLflow and model serving (experience)
  • Expertise in Azure Synapse Analytics and Synapse Pipelines for workflow orchestration (experience)
  • Experience with real-time data ingestion using Kafka, Azure Event Hubs, and Spark Streaming (experience)
  • Strong background in productionizing machine learning models for dynamic pricing and revenue optimization (experience)
  • Proven track record in ensuring data quality, reliability, performance, and scalability (experience)
  • Mentoring experience with junior engineers and establishing data engineering best practices (experience)
  • Bachelor's degree in Computer Science, Engineering, or related field (experience)
  • Excellent collaboration skills with data scientists, product teams, and stakeholders (experience)

Responsibilities

  • Design, build, and maintain scalable data pipelines on Azure, supporting both batch and real-time workloads
  • Develop and optimize data processing using Python, Spark, and Spark SQL
  • Build and manage solutions in Azure Databricks, including MLflow and model serving
  • Create and orchestrate data workflows using Azure Synapse Analytics and Synapse Pipelines
  • Support analytics and reporting needs through curated datasets for Power BI
  • Enable real-time data ingestion and processing using Kafka, Azure Event Hubs, and Spark Streaming
  • Partner with data science teams to productionize machine learning models, particularly for dynamic pricing and revenue optimization
  • Ensure data quality, reliability, performance, and scalability across platforms
  • Mentor junior engineers and contribute to data engineering best practices and standards

Benefits

  • general: Competitive salary up to $170,000 (DOE)
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) matching and retirement savings plans
  • general: Generous paid time off and flexible work arrangements
  • general: Professional development opportunities and certifications
  • general: Collaborative and innovative work environment
  • general: Opportunities for career growth in financial technology
  • general: Access to cutting-edge Azure technologies and tools

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

Get personalized recommendations to optimize your resume specifically for Senior 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 "Senior 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 Woodland Hills, CASenior Data EngineerAzure Data EngineeringData PipelinesMachine Learning OperationsFinanceAccountingAdmin

Answer 10 quick questions to check your fit for Senior 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.