Responsibilities:

• Operates in a remote-first environment collaborating with individuals and teams distributed across multiple time zones worldwide

• Works with internal partner teams, and, occasionally, external partners on defining the scope and the requirements for data engineering projects

• Designs, develops and implements data engineering solutions

• Maintains work performance, transparency, and process compliance through usage of the company s task tracking tools and communication channels

• Participates in projects of a broader Engineering and Data teams by acting as SME and as a contributor to business and engineering initiatives

• Works on continuous improvement of Mynd data engineering practices through platform/tools evaluation, documentation, knowledge sharing, etc

Qualifications:

• Flexibility in adjusting to technology stack selection. Ability and desire to learn new technologies quickly

• Strong proficiency in data modeling

• SQL fluency, preferably with exposure to multiple dialects

• Scripting skills relevant to development of data pipelines (strong preference for Python)

• Understanding of QA practices relevant to data engineering

• Familiarity with source control tools and CI/CD

• Understanding of performance tuning across multiple components of the technical stack

• Bonus points for more extensive experience with Mynd s data stack – AWS, Snowflake, Fivetran, Airflow, DBT, Datarobot and Sisense