Hybrid - Senior Data Engineer - Mountain View, CA

Overview

Hybrid
$50 - $60
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Data Engineering
Advanced SQL
Data Modeling
Schema Design
Python
ETL
SnapLogic
Airflow
DBT
Production Data Pipelines
Data Quality
Data Infrastructure
Problem-Solving
Independent Work
Collaboration
Fast-paced Environment
Communication Skills
Documentation Skills
Snowflake
CI/CD
DataOps
Cloud Data Platforms

Job Details

Job Title: Senior Data Engineer (High Priority)
Location: Preferably Mountain View, CA Hybrid (Local candidates highly preferred)
Start Date: Immediate
Duration: 6+ months

About the Role

We are looking for a Senior Data Engineer to join a high-performing team focused on building scalable and reliable data infrastructure. In this role, you will play a key part in designing and implementing modern data pipelines and models that support critical business operations and analytics.

This is a high-priority position in a fast-paced environment. Candidates who thrive in execution-focused, collaborative settings will find this opportunity both challenging and rewarding. Interviews and onboarding are being conducted on an immediate basis.

Key Responsibilities

  • Design and implement scalable and efficient data models and schemas

  • Develop, test, and maintain production-grade data pipelines

  • Collaborate with product, engineering, and analytics teams to enable data-driven decision-making

  • Ensure data quality, consistency, and reliability across the data stack

  • Build and manage ETL workflows using modern tools and best practices

  • Monitor and troubleshoot data pipeline performance and issues

Required Qualifications

  • 7+ years of hands-on experience in data engineering roles

  • Advanced SQL skills with strong experience in data modeling and schema design

  • Proficiency in Python for data processing and scripting

  • Experience with ETL frameworks and tools (e.g., SnapLogic, Airflow, DBT, etc.)

  • Strong analytical and problem-solving skills

  • Ability to work independently in a fast-paced, team-oriented environment

  • Excellent communication and documentation skills

Nice to Have

  • Experience with Snowflake (strongly preferred)

  • Familiarity with SnapLogic or other modern ETL platforms

  • Understanding of CI/CD pipelines and data operations (DataOps) best practices

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About ThinkBeyond Inc