Data Engineer
This mid-level data engineer role at Ample Insight focuses on building scalable ETL workflows and data schemas to empower analytics teams, with a strong emphasis on optimizing performance for user engagement, social, marketing, and financial datasets. The ideal candidate will bridge technical execution with business impact, ensuring high-quality data pipelines that drive downstream analytics and decision-making.
Skills required
About this role
We are looking for a data engineer who is passionate about analytics and helping companies build and scale data. You enjoy working with data and are motivated to produce high quality data tools and pipelines that help empower other data scientists. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.
Qualifications
- BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
- Hands on experience working with user engagement, social, marketing, and/or finance data
- Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
- Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
- Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
- Working knowledge of Snowflake
- Experience working with Airflow is a strong plus
- Devops experiences is a plus
Additional Information
We have very competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
