Lead Analytics Data Engineer

Description

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.

Requirements

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

Benefits

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