Data EngineerBrooksource • San Francisco, CA, United States
Data Engineer
Brooksource • San Francisco, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Assist with DevOps activities related to data platforms, including deployments and environment support Help build and maintain automation scripts and reusable frameworks for data operations Support CI / CD pipelines for data engineering workflows Assist with monitoring, alerting, and basic performance optimization Collaborate with senior engineers to support infrastructure-as-code and cloud resource management Work closely with data engineers, solution leads, data modelers, analysts, and business partners Help translate business requirements into technical data solutions Participate in code reviews, sprint planning, and team ceremonies Follow established architecture, security, and data governance standards Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience) Foundational knowledge of data engineering concepts , including ETL / ELT and data warehousing Experience or coursework with SQL and relational databases Familiarity with Microsoft Azure or another cloud platform Basic scripting experience (Python, SQL, PowerShell, or Bash) Understanding of version control (Git) Exposure to Azure services such as Azure Data Factory, Synapse Analytics, Azure SQL, or Data Lake Basic understanding of CI / CD pipelines and DevOps concepts Familiarity with data modeling concepts (star schema, normalization) Experience of fa Interest in automation, cloud infrastructure, and reliability engineering Internship or project experience in data engineering or DevOps environments
Elevate Data Engineer
Hybrid, CA
Brooksource is searching for an Associate Data Engineer to join our HealthCare partner to support their data analytics groups. This position is through Brooksource's Elevate Program , and will include additional technical training including, but not limited to : SQL, Python, DBT, Azure, etc.
Responsibilities
- Assist in the design, development, and implementation of ELT / ETL data pipelines using Azure-based technologies
- Support data warehouse environments for large-scale enterprise systems
- Help implement and maintain data models following best practices
- Participate in data integration efforts to support reporting and analytics needs
- Perform data validation, troubleshooting, and incident resolution for data pipelines
- Support documentation of data flows, transformations, and architecture
DevOps & Platform Support
Collaboration & Delivery
Required Qualifications
Preferred / Nice-to-Have Skills
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