Allocate

Sr. Data Engineer II

Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “Palo Alto Office (Hybrid)”
Apply on Allocate's site ↗

Opens the employer's official application page.

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About this role

Allocate is hiring for a Sr. Data Engineer II role (full-time). See the official posting for full details.

Requirements

  • Strong Data Engineering Experience: 5+ years of hands-on experience in data engineering (or related fields), including designing and building large-scale data pipelines and storage solutions. You should have taken proje…
  • Cloud Proficiency (AWS): Strong experience working with AWS cloud services for data. You should be comfortable with tools like S3, EC2, ECS, EKS, Athena, Redshift, Glue, and Step Functions. Experience setting up infrast…
  • Database and Data Modeling Skills: Proficiency in SQL and relational database design. Able to design efficient schemas and optimize queries/indexes for performance. Experience building or working with data warehouses or…
  • Programming Expertise: Fluency in at least one major programming language used in data engineering. Python is commonly used for data pipelines, and pandas/PySpark experience is valuable. We also value experience with Ty…
  • AI/ML Familiarity: While this is not a pure ML researcher role, you should understand how machine learning models consume data. Experience preparing datasets for training, working with feature stores, or integrating ML…
  • AI-Native Mindset: treating AI as core to the workflow, fluency with agentic tools and LLM-assisted dev, pushing the frontier of AI tooling.
  • DevOps and DataOps Skills: Solid understanding of containerization and deployment. Experience using Docker to package data applications and Kubernetes (or AWS EKS) to run distributed jobs/services. You should be comfort…
  • Strong Analytical and Problem-Solving Skills: Ability to analyze complex data problems, debug pipeline issues, and optimize system performance. You should be detail-oriented about data correctness and have a knack for t…

Summarized from the employer's posting — check the full posting for every requirement.