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  • Emplois similaires à : Data Infrastructure Engineer for ML Scale & Pipelines
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Data Engineer — Scale Data Pipelines & PlatformsKandji • San Francisco, California, United States
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Data Engineer — Scale Data Pipelines & Platforms

Kandji
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Postuler Maintenant

À propos

The Opportunity As a Data Engineer, you are passionate and drive excellence across data ingestion, preparation, modeling and quality. The successful candidate will drive the organization's design of high performance data models, helping us effectively get the most from our data. How You'll Make A Difference Day To Day Collaborate with stakeholders to solve problems by modeling complex datasets to fit their needs Identify, design, and implement internal process improvements; automate manual processes where appropriate. Optimize how data gets delivered, and scale our data systems where needed Design processes for data observability, usage metrics, and monitoring of the platform Create data tools for the organization to make data-driven decisions Be an active contributor to architectural decisions as we enhance our data platform and infrastructure Required to work on-site 3 days a week (Tuesday, Wednesday, Thursday). Managers may require additional on-site days. Minimum Qualifications: 3+ years of strong data engineering design/development experience in building large-scale distributed data platforms/products Knowledge of Python, SQL Experience with dbt and data modeling, especially incremental models Experience designing and implementing data ingestion platforms, interacting with multiple third-party data sources, and assembling them into actionable structures Experience in developing data architectures within greenfield efforts Experience with both structured and unstructured datasets Ability to establish and maintain relationships with key stakeholders Preferred Qualifications: Experience with a Security related SaaS product Familiarity with Apache Kafka, or Kinesis Familiarity with applying Data Science algorithms and/or ML ops Experience with a variety of data serialization formats (Avro, Parquet, JSON, Protobuf, etc) Familiar with workflow management systems (Airflow, Argo Workflows, etc) $120,000 - $150,000 a year These requirements are for the strongest, ideal candidate. Even if you do not outperform every bullet point, Kandji encourages you to apply. We promote a diverse, equitable, and inclusive culture and recognize that even the strongest candidates won’t have all desired experiences and qualifications. Benefits & Perks Competitive salary 100% individual and dependent medical + dental + vision coverage 401(k) with a 4% company match 20 days PTO 14 paid holidays per year 10 health and wellness days per year Kandji Wellness Week Off July 1 - July 5, 2024 Equity for full-time employees 12 weeks of paid leave for new parents Cell phone & Internet stipend Exciting opportunities for career growth An outstanding, inclusive culture We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you’re someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you. At Kandji we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences.
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  • San Francisco, California, United States

Compétences linguistiques

  • English
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