Data Engineer - Samba Platform

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  "location": {
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    "city": "San Francisco",
    "region": "CA",
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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "\n<li>Build scalable data product architecture, capable of supporting both internal and external data consumers</li>\n<li>Responsible for modernizing our data frameworks and integrations with Databricks and BigQuery</li>\n<li>Upgrade and reduce toil for developers on Apache Airflow</li>\n<li>Develop and optimize data transformations using Apache Spark (PySpark/Scala)</li>\n<li>Build procedures and guidelines to help teams operate with data</li>\n<li>Identify bottlenecks in our development lifecycle and find solutions to improve them</li>\n<li>Drive innovation throughout the tech org by evangelizing and educating teams on best practices and new technologies</li>\n<li>Work directly with our data teams and FinOps teams to drive efforts that span across teams</li>\n<li>Implement data governance, access control, and auditing using Databricks Unity Catalog</li>\n<li>Build and integrate automated, reusable data validation suites using data quality frameworks (Great Expectations or similar)Implement monitoring and anomaly detection systems for data quality, reliability and performance</li>\n<li>Develop and manage REST APIs to support secure data access, automation, and integration</li>\n<li>Collaborate with data scientists, analysts, and software engineers to deliver governed, reusable data assets</li>\n<li>Implement monitoring, logging, and alerting for data workflows</li>\n<li>Optimize cost and performance of cloud-based data infrastructure</li>\n"
    },
    {
      "text": "Who You Are",
      "content": "\n<li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)</li>\n<li>5+ years of experience in data engineering or a related role</li>\n<li>Strong hands-on experience with Databricks, Apache Spark and BigQuery or Snowflake</li>\n<li>Proven experience with Modern table formats such as Delta Lake and Iceberg</li>\n<li>A deep understanding of the data lifecycle and how teams operate with data</li>\n<li>Hands-on experience implementing data governance and metadata management using Databricks Unity Catalog</li>\n<li>Experience managing and extending Apache Airflow (custom operators, plugins, infrastructure)</li>\n<li>Experience with Kubernetes</li>\n<li>Solid experience with AWS cloud services, especially S3 and data-related services</li>\n<li>Experience with data validation and data quality principles and working with SLA systems</li>\n<li>Proficiency in Python and SQLExperience with data modeling, data lakes, and lakehouse architectures and a strong understanding of distributed systems and big data processing</li>\n<li>Preferred Qualifications</li>\n<li>Experience with Infrastructure as Code (Terraform)</li>\n<li>Knowledge of CI/CD pipelines for data platforms</li>\n<li>Experience working in Agile/Scrum environments</li>\n<li>AWS, Databricks, or cloud data certifications</li>\n<li>Experience working with data clean room environments, including implementation or collaboration within Snowflake, Databricks, or BigQuery ecosystems</li>\n<li>Experience with streaming data pipelines (Kafka, Flink)</li>\n\n<div>&nbsp;</div>\n<div>&nbsp;</div>\n<div>#LI-PS1</div>"
    }
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  "country": "US",
  "createdAt": 1772144046397,
  "updatedAt": null,
  "categories": {
    "team": "Data Products & Services",
    "location": "San Francisco, California",
    "commitment": "International Full Time Employee",
    "department": "Engineering",
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      "San Francisco, California",
      "Los Angeles, California"
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