Senior Data Engineer

New

SekaiConsumer Social

United States-RemoteFull-TimeSenior

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

Experience: 5+ years
Required Skills: PythonSQLProduct AnalyticsData engineeringData modelingBigQuery

5+ years of professional experience in data engineering, data platform engineering, or a closely related role.
Strong hands-on experience with SQL, Python, and large-scale analytical data systems.
Deep experience with BigQuery, including warehouse design, query optimization, and cost-aware data modeling.
Experience working with product analytics tools such as PostHog, Amplitude, or similar platforms.
Strong understanding of consumer app analytics, including funnels, retention, cohorts, activation, engagement, and user journeys.
Ability to understand business and product needs, then translate them into scalable data architecture.
Comfortable working with backend engineers on tracking, data contracts, APIs, logs, and production data flows.
High ownership mindset; able to operate independently in a fast-moving startup environment.

Own and evolve Sekai’s data warehouse architecture, with BigQuery as the core analytical platform.
Build reliable data pipelines, data models, and intermediate tables for product, growth, and company-level analysis.
Manage product analytics integrations across PostHog, Amplitude, and internal data sources.
Partner with Product and Backend Engineering on event instrumentation, tracking quality, and user journey visibility.
Create trusted source-of-truth datasets that help teams make faster and more consistent decisions.
Build clean reporting workflows, dashboards, and self-serve analytics foundations for internal teams.
Improve data quality, freshness, documentation, observability, and access patterns.
Optimize BigQuery cost and performance through thoughtful architecture, table design, and query practices.

View Full Description & ApplyYou'll be redirected to the employer's site