13 часов назад
Azure Databricks Data Engineer (AI)
120 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Azure Databricks Data Engineer (AI): Building and optimizing scalable cloud-based data platforms, pipelines, and lakehouse solutions with an accent on Azure Databricks, PySpark, Spark SQL, and enterprise data integration. Focus on performance tuning, batch and real-time processing, data quality, CI/CD automation, and supporting analytics and AI workloads.
Location: California, United States
Salary: $120,000–$140,000 per year, plus a potential discretionary bonus.
Company
is a strategic AI partner delivering data and analytics solutions for Fortune 500 enterprises.
What you will do
- Design, build, and optimize scalable data pipelines and ETL/ELT workflows with Azure Databricks.
- Implement batch and real-time processing for structured and unstructured data using PySpark and Spark SQL.
- Develop data ingestion frameworks and enterprise data lakes with Azure Data Lake Storage Gen2.
- Integrate cloud and on-premises data sources and support dimensional modeling and data warehouse initiatives.
- Implement data quality, validation, monitoring, security, governance, and compliance frameworks.
- Automate deployments with CI/CD and contribute to architecture discussions while providing technical leadership to junior engineers.
Requirements
- 6–10 years of experience in data engineering and analytics.
- At least 3 years of hands-on experience with Azure Databricks.
- Strong experience with PySpark, SQL, cloud-native data platforms, enterprise-scale data lakes, and data warehouses.
- Knowledge of Spark performance tuning and optimization techniques.
- Experience working in Agile delivery environments.
- Bachelor’s or master’s degree in computer science, information technology, engineering, or a related field.
Nice to have
- Azure Data Engineer Associate certification (DP-203).
- Experience with Unity Catalog, Databricks Workflows, or Delta Live Tables.
- Experience supporting AI/ML workloads and data science teams.
- Exposure to Snowflake, Power BI, or Microsoft Fabric.
- Scala, Terraform, or healthcare, life sciences, and pharmaceutical domain experience.
Culture & Benefits
- Full-time employment with health, dental, vision, life insurance, and disability plans.
- Benefits eligibility begins on the first day of employment.
- 401(k) eligibility begins after 30 days.
- 11 paid holidays, 12 weeks of parental leave, and a flexible “free time” PTO policy.
- Visa sponsorship is not available.
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