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Senior Data Engineer / Analytics Engineer

StoneGate-Technologies LLCSunnyvale, CA🇺🇸United StatesPosted Oct 22, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Sunnyvale, CA, United States
Posted
Yesterday
SQLGitAWSSnowflakePythondbtGenerative AICI/CD

Job Description

Job Description: Senior Data Engineer / Analytics Engineer
Location: Sunnyvale, California - Hybrid (Locals)
Job Summary
We are looking for an experienced Senior Data Engineer / Analytics Engineer with strong expertise in SQL, Snowflake, dbt, Git, and AWS. The ideal candidate will build and maintain scalable data pipelines, develop reliable data transformations, and leverage AI-assisted coding tools to improve development productivity and code quality.
Key Responsibilities
  • Design, develop, and maintain data pipelines and transformation workflows using SQL, Snowflake, and dbt.
  • Build reliable, scalable, and optimized data models for analytics and reporting.
  • Use Git for version control, code collaboration, and source code management.
  • Work with Snowflake hosted on AWS, including data integrations, security, access controls, and connectivity.
  • Develop and maintain dbt models, automated tests, documentation, and data quality checks.
  • Leverage AI coding tools such as GitHub Copilot, Cursor, or ChatGPT to accelerate coding, debugging, testing, and documentation.
  • Optimize SQL queries and Snowflake workloads for performance and cost efficiency.
  • Collaborate with data analysts, business stakeholders, and engineering teams to deliver trusted data solutions.
  • Follow best practices for code reviews, CI/CD, data governance, and production support.
Required Skills
  • Strong experience with SQL and data transformation.
  • Hands-on experience with Snowflake.
  • Experience building data models and transformation pipelines using dbt.
  • Proficiency with Git and version control workflows.
  • Knowledge of AWS cloud services, particularly Snowflake integrations, security, and connectivity.
  • Experience using AI-assisted development tools such as Cursor, GitHub Copilot, or ChatGPT.
  • Strong analytical, debugging, and problem-solving skills.
  • Experience supporting production data pipelines and data quality processes.
Preferred Qualifications
  • Experience with automated testing and CI/CD for data pipelines.
  • Knowledge of Python and data engineering best practices.
  • Experience with data modeling, query optimization, and cloud data architecture.
  • Ability to validate AI-generated code and ensure its correctness, security, and maintainability.
  • Excellent communication and collaboration skills.
Ideal Candidate: A hands-on Senior Data Engineer / Analytics Engineer with strong SQL, Snowflake, dbt, and Git experience, working knowledge of AWS, and practical experience using AI tools to improve development efficiency.

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