About Interos
Interos is the supply chain risk intelligence company – building the most trusted and transparent supply chains in the world. Our pioneering discovery and monitoring intelligence spans the lifecycle of supply chain risk, enabling faster and more informed threat mitigation. As the world’s first, and only, automated supplier intelligence platform, we continuously map and monitor extended supply chains at speed and scale to protect organizations from regulatory fines, unethical labor, cyber-attacks, and other systemic vulnerabilities. Interos serves a variety of commercial, government, and public sector customers around the world including a host of Global Fortune 500 companies and from within the members of the Five Eyes nations.
www.interos.ai
The Opportunity
As a Senior Data Engineer, you will play a central role in ensuring Interos’ data infrastructure and data pipelines are robust, efficient, and scalable. Your primary responsibility is enabling your fellow engineers to deliver features, code, and data that is maintainable, performant, and aligned with engineering standards.
Essential Functions/Duties
- 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 reviews
- Provide support for other engineers or internal customers in the matters of data or software
- Implement and enforce best practices for code quality, testing, and documentation
- Improve or develop frameworks, packages, and/or documentation to support engineering standards
- Conduct code reviews to ensure adherence to coding standards and promote knowledge sharing within the team
Minimum Qualifications
- 5+ years of experience in Software Development
- 3+ years of full-time professional Python experience including production experience with data pipelines
- 3+ years of experience with SQL via relational or columnar databases, especially Postgres and/or Snowflake
- 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 another stream processing system
- Bachelor’s degree
Preferred Qualifications
- Experience with distributed data processing, using tools like PySpark, Dask, etc
- Experience with job or pipeline orchestration, using tools like Prefect, Airflow, Argo, etc
- Passionate about writing code that is scalable, maintainable, reusable, and well-tested
- Interested in building reliable, fault-tolerant, production-grade systems
- Comfortable debugging large or complex applications and guiding their refactor
- Experience designing, implementing, and maintaining APIs as a service
- Strong communication skills with the ability to convey technical concepts to both technical and non-technical stakeholders
- Experience developing data software in an agile environment
- Enjoy optimizing complex processes and leaving them better than you found them
- A seasoned engineer who enjoys sharing experience with the team
- Bachelor’s degree in Computer Science or closely related field or a foreign equivalent
Additional Information
- Min Years of Relevant Experience with Degree: 5
- Minimum Degree Requirement: Bachelor’s degree
- Core Competencies: Python, SQL, Kafka, Kubernetes, AWS
- Reports to: Senior Software Engineering Manager, Data
- Location: Remote
- Supervisory Responsibility: This position has no supervisory responsibilities
- Years of Supervisory Exp. Reqd: 0
- Travel Requirements: This position may require up to 10% travel
- Telecommute Option: Yes
- Work Environment: Professional office setting with standard office equipment
- Physical Demands: Primarily sedentary, occasional lifting/carrying (up to 5 pounds), use of computer and office equipment
- Compensation: Base salary range 120,000 - 160,000 USD. Salary will be commensurate with skills, experience, certifications or licenses, and other relevant factors. Eligibility for annual performance bonus or commission program
Benefits
- Comprehensive Health & Wellness package (Medical, Dental and Vision)
- 10 Paid Holiday Days Off
- Flexible Time Off (FTO)
- 401(k) Employer Matching
- Stock Options
- Career advancement opportunities
- Casual Dress
- On-site gym and Peloton room at headquarters
- Company Events (Sports Games, Fitness Competitions, Celebrations, Happy Hours)
- Annual company party
- Employee Referral Program
Notice: Be Cautious of Employment Scams
Interos will never ask for your personal account info (phone, credit card, bank details) during recruitment.
All recruiter emails will come from @interos.ai or via Paycor (aka “Newton”).
We do not ask for payment, fees, or purchases.
All interviews are via phone or video — never text messaging.
