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Full-Time

Senior Data Engineer

Analytics

Posted on 3/27/2024

Fivetran

Fivetran

1,001-5,000 employees

Automated data movement with pre-built connectors

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$154.6k - $193.2kAnnually

+ RSU stock grants + professional development opportunities

Senior

Oakland, CA, USA

Category
Data Management
Data Engineering Management
Data & Analytics
Required Skills
Redshift
BigQuery
SQL
Data Analysis
Snowflake
Requirements
  • Deep familiarity with advanced SQL in a modern data warehouse environment (BigQuery, Redshift, Snowflake, etc)
  • An informed, opinionated stance on SQL style, normalization, Kimball, etc.
  • A deep understanding of ERDs, DAGs and ETL/ELT
  • An ability to take end-to-end ownership of data product delivery, from design through implementation
  • A desire to solve problems the RIGHT way, and the ability to clearly articulate WHY to a technical audience
  • Experience writing production code, and debugging and deciphering code written by others
Responsibilities
  • Be the standard-bearer for data quality and efficiency on a high-performance, industry-leading team.
  • Ensure that our analytics warehouse and codebase is designed to support our growing enterprise business reliably, accurately and affordably.
  • Work closely with our fantastic Data Analysts, bringing an informed, opinionated viewpoint to frameworks, tools, templates and code reviews in order to elevate code quality teamwide.
  • Identify opportunities for refactoring existing code; implement the refactoring; and lay the guardrails for fewer refactors in the future.
  • Lead the development and enablement of new tools and technologies to support Fivetran Analytics.
  • Optimize our transformation layer for efficient and effective delivery of business intelligence to stakeholders throughout the organization.

Fivetran specializes in providing an automated data movement platform, which is distinguished by its robust offering of over 300 pre-built source connectors and capabilities for real-time database replication. This focus on secure and efficient data extraction, loading, and transformation makes it an integral player in data management solutions. Employees benefit from working in an environment that is at the forefront of enhancing data connectivity and operational efficiencies for leading global brands, which positions them well for continuous learning and career advancement in a vital industry sector.

Company Stage

Series D

Total Funding

$889.3M

Headquarters

Oakland, California

Founded

2012

Growth & Insights
Headcount

6 month growth

6%

1 year growth

8%

2 year growth

5%
INACTIVE