Scientific Data Engineer

We are seeking a Scientific Data Engineer to join our team.

Responsibilities:

• Own, prototype, and implement customer solutions.
• Research and prototype data acquisition strategy for scientific lab instrumentation.
• Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries).
• Design and build data models.
• Design and build Python data pipelines, unit tests, integration tests, and utility functions.
• Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc.
• Work with the customer to test and make sure the solution fulfills their requirements and solves their need.
• Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings.
• Facilitate internal project post-mortems to identify areas of improvement on the next implementation.

Requirements:

• 7+ Sr. Engineer.
• Python (Pandas/Numpy).
• ETL.
• Relational Databases / SQL.
• Message Oriented Systems.
• Databricks (ETL Tools).
• Passionate about science and building solutions to make the data more accessible to end-users.
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
• Quickly understand a highly technical product and effectively communicate with product management and engineering.
• Proactive problem-solving skills.
• High-bandwidth: thrives when managing multiple simultaneous projects.
• Intellectually curious unwavering drive to learn more every day.
• Ability to think creatively about how to solve projects risks without reducing quality.
• Team player and ability to 'roll up your sleeves' and do what it takes to make the team succcesful.