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Senior Data EngineerInteros Inc • New York, New York, United States
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Senior Data Engineer

Interos Inc
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

Open Positions Title: Senior Data Engineer
Location: Remote
Job ID: 355
# of Openings: 2
About interos.ai interos.ai is defining the category of supply chain risk intelligence, building the world’s most trusted and transparent supply chains. Our pioneering platform automates the discovery and continuous monitoring of supply chain risk across every tier, enabling faster, data‑driven threat mitigation and resilience at global scale. We serve customers across commercial, federal, A&D, and public sectors, including global Fortune 500 companies and members of the Five Eyes nations.
About the Role As a Senior Data Engineer, you will play a central role in ensuring interos.ai’s data infrastructure and data pipelines are robust, efficient, and scalable. Your primary responsibility is delivering features, code, and data that are maintainable, performant, and aligned with engineering standards.
What You Will Do
Build and share knowledge of the data flow throughout the Resilience platform.
Optimize the storage, processing, and movement of data, such as tuning data models or refactoring data software.
Develop, document, and maintain new data platform functionality.
Contribute to software and data architecture design and reviews.
Provide support for other engineers or internal customers in data or software matters.
Implement and enforce best practices for code quality, testing, and documentation.
Improve or develop frameworks, packages, and documentation to support engineering standards.
Conduct code reviews to ensure adherence to coding standards and promote knowledge sharing within the team.
What You Bring
5+ years of experience in software development.
3+ years of full‑time professional Python experience, including production work with data pipelines.
3+ years of experience with SQL via relational or columnar databases.
2+ years of experience working with Snowflake.
2+ years of experience developing in AWS.
2+ years of experience in data streaming or event‑driven systems with Kafka or a similar stream‑processing system.
Bachelor’s degree in Computer Science or equivalent experience.
Bonus Points For
Experience with job or pipeline orchestration tools such as Prefect, Databricks, Airflow, or Argo.
Passion for writing code that is scalable, maintainable, reusable, and well‑tested.
Interest in building reliable, fault‑tolerant, production‑grade systems.
Comfortable debugging large or complex applications and guiding their refactor.
Excellent communication skills, able to convey technical concepts to technical and non‑technical stakeholders.
Experience developing data software in an agile environment.
Enjoy optimizing complex processes and leaving a better‑than‑found legacy.
Seasoned engineer who enjoys sharing experience with the team.
What We Offer
Comprehensive health, dental & vision insurance.
401(k) with employer match.
Flexible Time Off (FTO) + 10 paid holidays.
Opportunity to help shape an early, fast‑growing market.
A flexible, remote‑first work environment that empowers you to perform at your best, wherever you are.
An incredible culture built on trust, accountability, and collaboration across time zones and teams.
Compensation Base Salary Range: $120,000 – $160,000 USD (depending on experience and location).
Variable Compensation: Eligible for annual performance bonus or commission program.
Equity: Stock options included as part of the total compensation package.
Equal Opportunity Employer interos.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees — regardless of race, religion, gender identity, sexual orientation, age, disability, or veteran status.
Accessibility & Accommodations We are committed to providing reasonable accommodations for candidates throughout the hiring process. If you need assistance, please contact us at hr@interos.ai .
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  • New York, New York, United States

Languages

  • English
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