Senior Data Engineer - Real-Time Pipelines

Tillster; San Diego (CA); On-site; USD 135,000 - 155,000; Full time

Benefits offered by this job

Health benefits

10 paid holidays

PTO 15 days (first year)

401(k) plan

Tuition assistance and Udemy courses

Learning & development opportunities

Job summary

Tillster in the United States is seeking a Senior Data Engineer to build and maintain real-time data pipelines across Redshift, BigQuery, and Snowflake. You will support analytics and contribute to a dbt-based data modeling layer, pulling data from multiple platforms to improve data accessibility and quality.

You will own data warehouse infrastructure, help scale ETL processes with Airflow and cloud services, and work with BI tools like Looker or Tableau to empower data-driven decisions.

Qualifications

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

Responsibilities

• Own and maintain data warehouse infrastructure across Redshift, BigQuery, and Snowflake.
• Build and maintain real-time, batch, and streaming data pipelines that support analytics products.
• Design data structures for real-time and near-real-time decision making.
• Modify and maintain SQL and Python ELT processes loading data into warehouses.
• Troubleshoot and maintain Airflow/Jenkins orchestration jobs with DevOps.
• Fulfill ad-hoc data extract requests and other data engineering duties.

Skills

Python

SQL

AWS

Airflow

dbt

Looker/Tableau

Redshift

BigQuery

Snowflake

Kinesis

Stitch

Fivetran

Snowpipe

Tools

Redshift

BigQuery

Snowflake

Looker

Tableau

Airflow

Jenkins

Kinesis

Job description

Tillster in the United States is seeking a Senior Data Engineer to build and maintain real-time data pipelines across Redshift, BigQuery, and Snowflake. You will support analytics and contribute to a dbt-based data modeling layer, pulling data from multiple platforms to improve data accessibility and quality.

You will own data warehouse infrastructure, help scale ETL processes with Airflow and cloud services, and work with BI tools like Looker or Tableau to empower data-driven decisions.