At NobleAI, we believe that energy, material science, and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.
We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create optimized solutions with speed.
We seek a Lead Analytics Data Engineer to be an integral part of our growing team. This role will focus on designing, building, and maintaining the data-focused tools and infrastructure for advanced analytics to drive data-driven decisions.
Join us in building a more sustainable world through the power of AI and scientific innovation.
Key Responsibilities
- Lead feature development to completion while following standard engineering quality and architecture best practices and strategy
- Break features into independent tasks/stories and provide solution design and estimates
- Ensure delivered artifacts (code, architecture) are well-tested and well-documented
- Understand the pros and cons of implementation options and articulate the cost, performance, timing, and effort details
- Understand the market and trends in technology and architecture and propose solutions aligned to the problem at hand
- Collaborate with peers on ideas/solutions and provide mentorship to junior members/interns
- Adapt communications to technical and non-technical stakeholders
What We’re Looking For
- BSc Degree in Computer Science, Engineering, or a related field
- 5+ years of data and software engineering experience (Python, Flask, Django, Dash, Spark)
- 2+ years of Cloud experience (AWS, or Azure)
- 5+ experience with databases and platforms (Postgres, Hive, Snowflake, Databricks. Redshift, BigQuery, Athena)
- 3+ years of experience in building data pipelines and features for analytics models
Did we mention we offer great pay & benefits?
- Benefits coverage including medical, dental, vision, disability and life insurance
- Retirement fund employer contribution
- Generous Paid Time Off & Holidays
- Stock options
- Performance-based bonus
- Salary range depending on experience & geographic location
