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Lead Analytics Data Engineer

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 
What You Should Know About Lead Analytics Data Engineer, NobleAI

At NobleAI, we're on a mission to build a better, more sustainable world through the groundbreaking use of artificial intelligence in energy, material science, and chemistry. We’re excited to announce an opportunity for a Lead Analytics Data Engineer to join our innovative team! In this role, you'll be the driving force behind the design, development, and maintenance of our data-focused tools and infrastructure, empowering advanced analytics to fuel data-driven decisions within the company. Your expertise will help us enhance our innovative Science-Based AI technology, allowing us to revolutionize workflows and accelerate innovation in sustainable technologies. We're looking for someone with a degree in Computer Science or a related field, with at least 5 years of experience in data and software engineering, including proficiency in Python and experience with cloud platforms like AWS or Azure. You'll thrive in our culture of collaboration, creativity, and respect, as you lead feature development while mentoring junior team members. And yes, we prioritize your wellbeing too—we offer fantastic pay, benefits, and a performance-based bonus structure. If you're passionate about leveraging data for meaningful impact, we want to hear from you! Let's make a difference together!

Frequently Asked Questions (FAQs) for Lead Analytics Data Engineer Role at NobleAI
What are the responsibilities of a Lead Analytics Data Engineer at NobleAI?

As a Lead Analytics Data Engineer at NobleAI, you'll play a crucial role in designing, building, and maintaining the data-focused tools and infrastructure needed for advanced analytics. Your responsibilities will include leading feature development, breaking down features into independent tasks, ensuring that all delivered artifacts are well-tested and documented, and collaborating with peers while providing mentorship to junior team members. You'll also be expected to stay updated on market trends and propose solutions that align with the challenges at hand.

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What qualifications are required for the Lead Analytics Data Engineer position at NobleAI?

To qualify for the Lead Analytics Data Engineer position at NobleAI, candidates should possess a BSc Degree in Computer Science, Engineering, or a related field. You’ll also need at least 5 years of experience in data and software engineering, familiarity with tools like Python, Flask, and Spark, as well as at least 2 years of cloud experience using platforms such as AWS or Azure. Additionally, experience with various databases and building data pipelines for analytics is essential.

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How does the Lead Analytics Data Engineer role contribute to sustainability at NobleAI?

The Lead Analytics Data Engineer role is vital for NobleAI's commitment to sustainability. By designing and maintaining the infrastructure for advanced analytics, you will enable the extraction of actionable insights from data, driving decisions that amplify our capacity to innovate sustainably. Your efforts will support various projects aimed at revolutionizing energy workflows and materials development, ultimately contributing to a more sustainable future.

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What kind of team culture can I expect at NobleAI as a Lead Analytics Data Engineer?

At NobleAI, we foster a collaborative and respect-driven culture. As a Lead Analytics Data Engineer, you'll be part of a team that values thoughtfulness and excellence. We encourage open communication with both technical and non-technical stakeholders, and we prioritize the professional growth of our team members. Your contributions won't just impact the projects you work on but will also play a role in mentoring junior developers, creating an inclusive and supportive work environment.

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What benefits does NobleAI offer for the Lead Analytics Data Engineer role?

NobleAI offers competitive pay and a comprehensive benefits package for the Lead Analytics Data Engineer position. This includes medical, dental, vision, disability, and life insurance coverage, retirement fund employer contributions, and generous paid time off along with stock options. Moreover, we provide a performance-based bonus structure, ensuring that your efforts and achievements are recognized and rewarded.

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Common Interview Questions for Lead Analytics Data Engineer
Can you describe your experience with building data pipelines for analytics models?

In your response, focus on specific projects where you built data pipelines, detailing the technologies and methods used. Highlight your understanding of ETL processes, the tools you utilized (like Apache Spark, Airflow, etc.), and any challenges you faced, along with how you overcame them.

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What strategies do you employ to ensure the quality of your code?

Discuss specific practices such as code reviews, unit testing, and integration testing. Explain how these strategies help mitigate risks and ensure that the code delivers the required functionality while maintaining high standards.

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How do you stay up-to-date with technology trends relevant to data engineering?

Mention resources such as industry blogs, online courses, conferences, or networking groups. Setting aside time for continuous learning showcases your commitment to professional growth. Sharing recent innovations you've learned about can also illustrate your proactive approach.

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What is your experience with cloud platforms like AWS or Azure in your previous roles?

Provide details about specific services you've used within AWS or Azure, such as EC2, S3, or Azure Data Lake. Explain the impact these services had on your projects and how they benefited the data architecture or analytics capabilities of the organization.

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Explain how you would approach a project requiring advanced analytics.

Outline a structured approach, such as defining project requirements, collaborating with stakeholders, selecting appropriate tools and methodologies, and ensuring thorough testing and documentation. Emphasize the importance of adaptability and clear communication throughout the process.

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Can you give an example of how you've mentored junior engineers in the past?

Share a specific instance when you provided guidance to a junior colleague. Discuss your approach to mentorship, focusing on fostering their skills, encouraging their contributions, and providing constructive feedback. Highlight the importance of supporting their growth and how that reflects on the team's success.

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What approach do you take to collaborate with both technical and non-technical stakeholders?

Highlight the importance of adapting your communication style depending on the audience. Discuss techniques you use to ensure clarity, such as using visual aids for non-technical individuals and detailed technical documentation for engineering teams. Emphasize the significance of listening and addressing different perspectives.

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How do you prioritize tasks when managing multiple projects?

Outline a time management strategy, such as using Agile methodologies or project management tools like JIRA. Emphasize the importance of understanding project timelines, stakeholder priorities, and evaluating risks to make informed decisions about focusing your efforts.

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What challenges have you faced while building data architecture and how did you overcome them?

Discuss specific technical challenges, such as latency issues, data inconsistencies, or scaling problems. Explain how you identified the root causes and the solutions you implemented, emphasizing your problem-solving skills and data analysis capabilities.

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Why do you want to work as a Lead Analytics Data Engineer at NobleAI?

Share your passion for the intersection of technology and sustainability. Express enthusiasm for NobleAI's mission and how your experience and skills align with their objectives, including your desire to collaborate with a talented team dedicated to making a positive impact through AI and scientific innovation.

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Founded in 2017, Noble.Al is headquartered in San Francisco, California. They are a software company that builds products to empower leading research and development organizations to develop breakthrough products in less time and at a lower cost.

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Full-time, remote
DATE POSTED
January 8, 2025

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