Overview
On Site
Hybrid
BASED ON EXPERIENCE
Full Time
Contract - Independent
Contract - W2
Skills
DATA ENGINEER
AWS
DATABRICKS
DELTA LAKE
SPARK
Job Details
Job Title: Senior Data Engineer
Location: Mountain View, CA
Contract: 12+ Months
In this pivotal role, you will be the bridge between our data platform and our analytics organization, responsible for building and scaling the data infrastructure that powers our innovative products. You will work extensively within our AWS and Databricks environments to build robust, scalable data pipelines and data marts. This is a highly collaborative role where you will partner closely with data analysts and product managers to translate ambiguous business questions into concrete, actionable data models and insights.
What You'll Do
Location: Mountain View, CA
Contract: 12+ Months
In this pivotal role, you will be the bridge between our data platform and our analytics organization, responsible for building and scaling the data infrastructure that powers our innovative products. You will work extensively within our AWS and Databricks environments to build robust, scalable data pipelines and data marts. This is a highly collaborative role where you will partner closely with data analysts and product managers to translate ambiguous business questions into concrete, actionable data models and insights.
What You'll Do
- Design & Build Data Pipelines: Architect, build, and maintain efficient and reliable data pipelines to ingest, process, and transform data within our AWS-based data lake and Databricks platform.
- Develop Data Marts & a Metrics Store: Create and own curated, analysis-ready data marts that support critical product initiatives, including multi-product customer onboarding funnels and a centralized metrics store.
- Drive Data Integration: Lead complex data integration projects, unifying data from across the ecosystem to create a holistic view of our customers.
- Empower Data-Driven Decisions: Collaborate closely with the data analytics team to understand their needs, providing them with high-quality, trusted data sets that enable them to deliver key insights and reporting.
- Champion Data Quality & Governance: Implement best practices for data modeling, data quality, and data governance to ensure the consistency and reliability of our data assets.
- Thrive in Ambiguity: Work in a fast-paced, agile environment, demonstrating a strong ability to navigate unclear requirements and proactively drive projects to completion.
- Proven Data Engineering Experience: 5+ years of hands-on experience in a data engineering or analytics engineering role, with a track record of building and managing complex data pipelines.
- Strong Cloud & Big Data Expertise:
- Proficiency with the AWS data ecosystem (S3, Glue, Lambda, Redshift, etc.).
- Hands-on experience with Databricks, including Delta Lake and Spark (PySpark or Scala).
- Expert-Level SQL & Data Modeling: Exceptional SQL skills and a deep understanding of data modeling concepts (e.g., dimensional modeling, star schemas) and data warehousing principles.
- Exceptional Communicator: The ability to clearly and effectively communicate technical concepts to both technical and non-technical audiences. You are comfortable leading discussions and building consensus.
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