Field Engineer

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Job Responsibilities:

• Act as a technical advisor and liaison between engineering, operations, and customer-facing teams.

• Design and build technical solutions, including internal tools, scripts, and automations, using Python and JavaScript.

• Collaborate with both highly technical stakeholders and non-technical users to identify pain points and translate them into actionable engineering tasks.

• Troubleshoot and optimize platform integrations to ensure smooth data flows.

• Build scalable, self-serve solutions for common workflows to reduce manual overhead.

• Proactively identify issues, propose solutions, and independently lead high-visibility projects to implement them end to end.

• Contribute to data quality and consistency through programmatic checks and thoughtful system design.

• Share best practices and provide technical guidance and support to peers and cross-functional collaborators.

Additional Job Details:

• Technical experience in Python, JavaScript, or another relevant languagefor automations, integrations and scripting.
• Strong problem-solving skillswith the ability to plan and execute complex technical solutions.
• Excellent communication and collaboration skills, with the ability to work across multiple teams.
• Curious and self-driven, with a strong desire to learn and adapt to new technologies and challenges.
• Experience working with APIs, data pipelines, and automation frameworks.
• Customer success mindset, with a passion for helping internal teams and customers succeed.
• Ability to translate operational conceptsinto actionable solutions for both technical and non-technical stakeholders.
• Experience with cloud platforms (AWS, GCP, or Azure) and data processing toolsis a plus.

• 2+ years of engineering experience, ideally in a client-facing setting.
• Curiosity and desire to learn
• Bachelor's degree with an engineering or analytics focused field (e.g., Computer Science, Engineering, Mathematics, Statistics) or equivalent work experience.
• Hands-on experience in ML lifecycle applications, data management, and data wrangling.
• Python Experience with C# is a plus.
• Understanding of NLP concepts and techniques would be a plus.
• Passion for AI and ML technologies, with a history of exploring new concepts and technique.