Datawallet

Full-time data engineer responsible for designing and maintaining ETL data pipelines: pulling and parsing data from APIs and downloaded data stores, populating normalized relational databases, and calculating cached views (often NoSQL) to power data products and services. Work on a stack that currently includes Python, Node.js, PostgreSQL, Airflow and various AWS services. Collaborate with a team located between Berlin and New York City. Minimum qualifications include at least 4 years of software engineering experience (Python or JavaScript) with at least 2 years in a data-focused role, expertise in building data pipelines and ETL design, mastery of relational and non-relational databases, and experience building and maintaining a production data warehouse. Desirable qualifications: experience with Apache Airflow, AWS tools, git, Linux, Spark or Hadoop for large dataset transformations, and familiarity with Python data science tools (e.g., pandas). To apply, send an email to careers@datawallet.com.