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Data Engineer

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Van Kaizen

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Location:
United States , Los Angeles

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Our client develops and manufactures technologically advanced products from concept through production, and they are seeking a Data Engineer to help accelerate the modernization of their data platform. You will work across on-prem and cloud environments to operationalize and expand the enterprise Data Lake. If you enjoy turning complex data into trusted insight, you’ll fit right in. As a Data Engineer, you will own ingestion and transformation workflows, collaborate with software engineers and domain experts, and enable analytics, AI, and decision-making across the organization.

Job Responsibility:

  • Build and operate batch, streaming, and change data capture (CDC) pipelines from diverse sources (ERP, CRM, Accounting, knowledge repositories, and other enterprise systems) into the data lake
  • co-design data interfaces and pipelines with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps
  • model curated data within the lake into data warehouse structures (star schemas, wide tables, semantic layers) optimized for BI, ad-hoc analytics, and KPI reporting
  • publish certified datasets and policy-aware retrieval assets (tables, document embeddings, vector indexes) to enable analytics, AI, and retrieval-augmented generation (RAG) use cases
  • establish robust data observability and quality checks to ensure reliability and consistency
  • apply governance, security, and compliance controls across the data lake and warehouse—including role-based access, encryption, auditing, and data retention—in alignment with applicable regulations
  • operate the platform reliably by orchestrating jobs, monitoring pipelines, and continuously tuning cost and performance
  • work in accordance with our client’s values, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering

Requirements:

  • Bring 5–8+ years of experience building production-grade data systems
  • strong cloud data lake and data warehouse knowledge
  • hands-on Python and SQL skills with distributed processing frameworks like Apache Spark
  • expertise in designing and implementing ETL/ELT workflows and data modeling techniques
  • familiarity in AWS, Databricks, Snowflake, and open table formats such as Iceberg, Delta, or Hudi
  • communicate clearly, work well with cross-functional teams, and thrive in a fast-paced environment
  • have a bachelor’s degree in a quantitative field
  • fluency in English
  • a track record of mentoring others

Additional Information:

Job Posted:
January 13, 2026

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