Senior Data Engineer: Real-Time Pipelines & Analytics

Tillster; Seattle (WA); On-site; USD 96,000 - 165,000; Full time

Benefits offered by this job

Health benefits

Holidays

401(k) Plan

PTO

Education assistance

Job summary

Tillster is seeking a Senior Data Engineer in the United States (Seattle area). You will own and optimize data pipelines across Redshift, Snowflake, and BigQuery, enabling real‑time analytics for marketing, product, and operations.

The role emphasizes dbt modeling, data quality, and collaboration with analytics teams. You will work with Looker/Tableau, support Looker Explores, and help unify GA4, CRM, and other data sources into a single warehouse.

Qualifications

• 4+ years Python development.
• 4+ years SQL (Redshift, Snowflake, BigQuery).
• 2+ years AWS or equivalent cloud platform.
• 2+ years Airflow or comparable orchestration tools.
• Hands-on with dbt for data transformation and modeling.
• Hands-on experience supporting BI tools such as Looker or Tableau.
• Experience with real-time ingestion tools like Snowpipe, Stitch, Fivetran, or Kinesis.
• Experience in an Agile development environment.

Responsibilities

• Own and maintain data warehouse infrastructure across Redshift, BigQuery, and Snowflake.
• Build real-time, batch, and streaming data pipelines for analytics products.
• Design data structures for real-time decision-making.
• Support MarTech data needs (Braze, Acoustic, MoEngage, Segment).
• Maintain SQL and Python ELT processes into warehouses.
• Troubleshoot Airflow/Jenkins jobs with DevOps.
• Fulfill ad‑hoc data extract requests.

Skills

Python

SQL

AWS

Airflow

dbt

BI tools (Looker/Tableau)

Real‑time ingestion

Agile

Segment/Braze/Acoustic/MoEngage

LookML

GA4

Data quality / CI‑CD

Statistics / A/B testing / basic ML

Tools

Snowpipe

Stitch

Fivetran

Kinesis

Job description

Tillster is seeking a Senior Data Engineer in the United States (Seattle area). You will own and optimize data pipelines across Redshift, Snowflake, and BigQuery, enabling real‑time analytics for marketing, product, and operations.

The role emphasizes dbt modeling, data quality, and collaboration with analytics teams. You will work with Looker/Tableau, support Looker Explores, and help unify GA4, CRM, and other data sources into a single warehouse.