Data Engineer — Build Scalable Analytics for AI Assistant

Lindy; San Francisco (CA); On-site; USD 150,000 - 185,000; Full time

Benefits offered by this job

Comprehensive health coverage

Equity options

$20K relocation assistance

High autonomy in work

Job summary

A tech startup in San Francisco is seeking a Data Engineer to design ETL pipelines, develop analytics systems, and ensure data quality. The role offers collaboration with leadership and a focus on impactful data-driven insights. Candidates should have 2+ years of experience, expertise in SQL, and familiarity with ETL tools like Fivetran and BI tools like Tableau. Competitive salary range of $150K-$185K plus equity and relocation assistance offered for the right candidate.

Qualifications

• 2+ years of data engineering or data analytics experience.
• Expert-level SQL skills.
• Hands-on experience with ETL tools and data transformation frameworks.
• Proficiency with BI tools and advanced spreadsheet analysis.
• Ability to work independently and deliver high-impact projects.

Responsibilities

• Design and implement scalable ETL pipelines.
• Build reliable data warehousing solutions.
• Create automated data quality monitoring systems.
• Develop dashboards tracking key business metrics.
• Collaborate to understand customer behavior.
• Establish frameworks for experimentation across products.

Skills

Data engineering

SQL

ETL tools

BI tools

Data analysis

Tools

Snowflake

BigQuery

Fivetran

Airbyte

Tableau

Looker

Job description

A tech startup in San Francisco is seeking a Data Engineer to design ETL pipelines, develop analytics systems, and ensure data quality. The role offers collaboration with leadership and a focus on impactful data-driven insights. Candidates should have 2+ years of experience, expertise in SQL, and familiarity with ETL tools like Fivetran and BI tools like Tableau. Competitive salary range of $150K-$185K plus equity and relocation assistance offered for the right candidate.