Senior Data Engineer

Summary

Join Pattern Data as a Senior Data Engineer and contribute to the design, maintenance, and enhancement of our data analytics pipeline. You will work with technologies like Scala, PostgresQL, Airflow, and Python to ensure data accuracy and reliability. Your responsibilities include designing and developing our data warehouse and ETL pipelines, operating within our data warehouse, building monitoring tools, and collaborating with stakeholders. This role requires a Bachelor's degree in a related field or equivalent certifications, proven experience as a Data Engineer at an early-stage startup, and 5+ years of experience with SQL data sources, particularly PostgreSQL. A strong emphasis on data quality, monitoring, and transparency is essential. Passion for using data to solve problems and uncover insights is also required.

Requirements

• Bachelor's degree in Mathematics, Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent certifications
• Proven experience as a Data Engineer or similar role at an early stage startup
• 5 + years working with SQL data sources, preferably PostgreSQL, with demonstrated success for both OLTP and OLAP workloads
• Strong emphasis on data quality, monitoring, and transparency within reporting products
• Passion for using data to solve problems, uncover new insights and trace underlying problems

Responsibilities

• Design, develop, and maintain our data warehouse and ETL pipelines using technologies like Scala, PostgresQL, Airflow, and Python to ensure the accuracy, consistency, and reliability of our data
• Operate within Pattern’s data warehouse, writing queries against large volumes of structured and unstructured information in PostgreSQL
• Build tools to monitor the health and responsiveness of Pattern’s analytic products
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions