Senior Data Engineer: Build Scalable, Trusted Pipelines

The Trade Desk; Denver (CO); On-site; USD 124,900 - 228,900; Full time

Benefits offered by this job

Comprehensive healthcare benefits

401(k) retirement plan

Tuition reimbursement

Parental leave

Vacation time up to 160 hours

Employee Stock Purchase Plan

Job summary

The Trade Desk is searching for a Senior Software Engineer - Data Engineer to work within Technology Operations. This role involves owning complex data pipelines, designing ETL/ELT pipelines using Snowflake and Databricks, and collaborating with product managers and data scientists.

Candidates should have a Bachelor’s degree and 6-8+ years of experience in data engineering, with a strong grasp of SQL, data modeling, and ETL/ELT tools. The position is based in Denver, Colorado, offering competitive compensation and a comprehensive benefits package.

Qualifications

• 6-8+ years of professional experience in software or data engineering.
• Hands-on experience with modern data warehouse concepts.
• Experience with data quality, observability, and operational support.

Responsibilities

• Own complex data pipelines and design scalable ETL/ELT pipelines.
• Drive data modeling and warehouse design.
• Implement data quality checks and monitoring.
• Collaborate with stakeholders to translate business needs.
• Provide technical guidance and mentorship.
• Improve performance and scalability of data systems.

Skills

SQL

Data modeling

Python

Spark

ETL/ELT pipelines

Collaboration

Education

Bachelor’s degree in computer science or related field

Master’s degree preferred

Tools

Snowflake

Databricks

Airflow

Docker

Kubernetes

Job description

The Trade Desk is searching for a Senior Software Engineer - Data Engineer to work within Technology Operations. This role involves owning complex data pipelines, designing ETL/ELT pipelines using Snowflake and Databricks, and collaborating with product managers and data scientists.

Candidates should have a Bachelor’s degree and 6-8+ years of experience in data engineering, with a strong grasp of SQL, data modeling, and ETL/ELT tools. The position is based in Denver, Colorado, offering competitive compensation and a comprehensive benefits package.