AI-Powered Data Engineer: Build Scalable Pipelines

Jobtailor; Washington (District of Columbia); On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor in Washington, DC seeks a data engineer to build and maintain data pipelines using AI tools and ensure data quality. You will transform large datasets into clearer, performant datasets and collaborate with Product and Engineering teams to enable data-driven customer services.

The role requires strong SQL and Python skills, plus experience with data warehousing tools like Azure, Snowflake, dbt, Dagster, and Sigma. A passion for adopting new technologies is a plus.

Qualifications

• 2 years’ experience working as part of a data team.
• Very comfortable in SQL.
• Proficiency in Python for complex data analyses.
• Confidence with data warehousing fundamentals and tools (Azure, Snowflake, dbt, Dagster, Sigma).
• Comfortable exploring and adopting new technologies.

Responsibilities

• Build and maintain data pipelines using AI tools.
• Transform large datasets into clearer, performant datasets.
• Collaborate with Product team and Engineers for data-driven customer services.
• Ensure data quality and documentation throughout development stages.

Skills

SQL

Python

Data pipelines

Data analysis

Team collaboration

Tools

Azure

Snowflake

dbt

Dagster

Sigma

Job description

Jobtailor in Washington, DC seeks a data engineer to build and maintain data pipelines using AI tools and ensure data quality. You will transform large datasets into clearer, performant datasets and collaborate with Product and Engineering teams to enable data-driven customer services.

The role requires strong SQL and Python skills, plus experience with data warehousing tools like Azure, Snowflake, dbt, Dagster, and Sigma. A passion for adopting new technologies is a plus.