Data Engineer I

True Anomaly•Denver, CO

8d•Hybrid

About The Position

True Anomaly seeks an exceptional early-career Data Engineer I with strong Python and SQL skills and a passion for solving complex challenging technical problems and dealing with a certain amount of ambiguity. This is an opportunity for a talented graduate to build real-world data systems and grow quickly in a fast-paced high-performance startup environment. The role involves building and maintaining data pipelines and data products and solutions using Python, SQL, and modern cloud data platforms and technologies. It also includes developing, testing, and troubleshooting data ingestion, transformations, and workflows, applying software engineering practices like Git, testing, and CI/CD, and leveraging AI-assisted engineering tools. The engineer will collaborate with experienced engineers, take ownership, adapt and learn quickly, and deliver solutions that support data and other stakeholders.

Requirements

0-2 years of experience in data engineering, software engineering
Bachelor's or Master's degree in computer science, Data Science or a related technical field
Excellent Python programming skills and a reasonable knowledge of SQL
Strong software engineering and problem-solving skills
Curious, takes the initiative and a quick learner
Willing to embrace the pace, ambiguity and challenges of a startup environment
Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Nice To Haves

Completed one or more internships, research or created projects in software or data engineering
Exposure or a decent understanding of Cloud Data Platforms
Exposure/Experience building with Spark, Airflow, dbt, Kafka or similar technologies
Experience using AI-enabled development tools and technologies

Responsibilities

Build and maintain data pipelines and data products and solutions using Python, SQL and modern cloud data platforms and technologies
Develop, test and troubleshoot data ingestion, transformations and workflows
Apply software engineering practices including Git, testing, and CI/CD
Leverage AI-assisted engineering tools to improve development and testing productivity
Collaborate with experienced engineers, take ownership, adapt and learn quickly and deliver solutions that directly support our data and other stakeholders