Data Engineer
Role details
Job location
Tech stack
Job description
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Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).
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Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).
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Implement and manage data orchestration and dependency management using Dagster or similar tools.
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Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.
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Optimize data models and storage strategies for performance, scalability, and cost efficiency.
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Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.
Requirements
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3+ years of experience in data engineering or analytics engineering.
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Strong hands-on experience with Databricks, including Spark-based data processing.
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Experience building data pipelines in Microsoft Azure.
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Proficiency with SQL and Python.
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Experience with modern data orchestration tools (e.g., Dagster, Airflow, Prefect).
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Familiarity with data warehousing concepts, dimensional modeling, and ELT patterns.
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Experience working in Agile or DevOps-oriented environments., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
Benefits & conditions
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