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OnLogic, Inc. Data Engineer in South Burlington, Vermont

We are seeking a talented and motivated Data Engineer that will play a critical role in designing, building, and maintaining the data infrastructure supporting our business intelligence, reporting and AI initiatives. You will work closely with data scientists, machine learning engineers, and other stakeholders to ensure seamless data flow and availability while enabling cutting-edge AI solutions. Additionally, you are responsible for fully understanding the data contained in our Enterprise IT systems and how it can be effectively used to drive business value. As OnLogic continues to grow quickly, your ownership of the data infrastructure will be integral to current and future decision making for all departments across the globe.

On an average day, you'll...

  • Design, develop, and maintain scalable data pipelines (ETL) to process large volumes of structured and unstructured data from diverse sources.

  • Build and manage data warehouses, optimizing for performance and scalability.

  • Work with data scientists, analysts, and subject matter experts to understand data requirements and develop appropriate data models and schemas.

  • Implement data governance and security protocols to ensure data privacy and compliance with regulatory requirements.

  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.

  • Monitor and optimize data systems for performance, reliability, and cost-efficiency.

  • Automate repetitive data processing tasks to improve efficiency and reduce manual effort.

  • Document data architecture, processes, and systems to ensure maintainability and knowledge sharing within the team.

The team you will be joining:

Our IT team touches every aspect of our business and each of our day to day lives here at OnLogic. Made up of software developers, data scientists, architects, infrastructure and security experts, systems and network engineers and business technology professionals, our IT team is constantly working to improve our internal systems and enable cutting-edge solutions to make our lives easier, while optimizing our website to do the same for our customers. From the technology we use to do our jobs, to the infrastructure that supports the way we build, test and ship our products, our IT team keeps our business running smoothly.

  • Learn more about Life at OnLogic (https://www.onlogic.com/about/careers/life-at-onlogic/) .

Requirements

  • You have a Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Analytics, or a similar technical or business field or equivalent experience.

  • Five (5) years of general technical background working closely with or part of an Information Technology team.

  • You have three (3) years professional experience regarding data models, database design development, data mining and segmentation techniques.

  • Strong knowledge of and experience with databases, ETL, maintaining data pipelines, and SQL.

  • Proficiency in one or more programming languages such as Python or Typescript.

  • Experience with Google Cloud Platform (particularly BigQuery) or other cloud services is highly desirable.

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

  • Ability to work in the U.S. without visa sponsorship.

  • Satisfactory completion of a background check.

Who we're looking for:

  • An experienced Data Engineer that enjoys the challenges and opportunities offered by technology.

  • A self starter with the ability to work in a fast paced environment, thinking independently and acting proactively.

  • Effective communicator, delivering critical feedback in a constructive way while working collaboratively cross-functionally.

  • Technically adept and embraces innovation and automation with a mind toward continuous improvement.

Who we are:

OnLogic is growing, and we want to give you the same opportunity to grow in your career! We design and manufacture specialized computers and hardware solutions for companies all over the world, helping them to make the seemingly impossible possible. Our computers are designed to work where others would fail, and it's our vision to be the first choice in industrial computing. To make that vision a reality, we've built a team of ambitious problem solvers, guided by the company's core values of Open, Fair, Innovative and Independent. We have an open office, open salaries and strive to be fair and transparent in our decision making. We encourage input and feedback from every member of our team and look to improve ourselves and our business every single day.

Diversity is an essential element of our core values. Not just respecting, but actively embracing a variety of backgrounds, life experiences, and opinions, helps us foster innovation, enhances our problem-solving capabilities, and promotes learning and engagement among the members of our team. We strongly encourage those with diverse backgrounds to apply.

We are committed to providing a safe, inclusive, and harassment-free workplace for all employees. We do not tolerate any form of harassment, discrimination, or bias based on race, ethnicity, gender, sexual orientation, religion, disability, age, or any other protected characteristic.

To learn more about our values, our mission and what it's like to work at OnLogic, visit www.onlogic.com/careers.

Benefits

The salary range for this role is $80,000 to $120,000. We determine final compensation based on discussions with applicants and their experience in similar roles.

  • A competitive Salary based upon your experience and the requirements of the role

  • A comprehensive Benefits package

  • 401k Plan with 3% Employer Contribution

  • An Annual Profit Share Bonus

  • Paid Maternity & Paternity Leave, and Short & Long Term Disability

  • Opportunity to Participate in our Employee Stock Purchase Plan

  • A personal development plan created to help you (and us) grow

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