Part-time Experts - Data Infrastructure (B2B, Nebius Academy)

TripleTen•Boston, MA

4h•Remote

About The Position

Nebius Academy is an international online learning platform helping engineering teams and business professionals master data-driven technologies. We build hands-on, industry-relevant programs for B2B audiences — combining technical rigor with real-world application. Our Data Infrastructure curriculum covers the full spectrum of working with structured data: from foundational SQL querying and data modeling to advanced query optimization, pipeline design, and data warehouse architecture — applied to real business and engineering challenges. We are building a talent pool of experienced Data Engineers, Database Administrators, and Analytics Engineers for ongoing roles as Instructors, Authors, and Subject Matter Experts in our Data Infrastructure educational programs. We are looking for specialists across the following areas: Basic SQL, Advanced SQL, query optimization, data pipeline design, data warehouse concepts, and adjacent data engineering topics. A strong candidate doesn't just know their stack deeply — they actively work with databases and structured data in real-world projects and can translate complex technical concepts into practical, teachable content. We prioritize hands-on experience with tools and workflows such as SQL (PostgreSQL, MySQL, BigQuery, Snowflake, or similar), query performance tuning, data modeling and schema design, ETL/ELT pipelines, and data warehouse or lakehouse architectures. The ability to teach others how to write efficient queries, structure data for scale, and make sound database design decisions is what sets our experts apart. These are Talent Pool positions — we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise. You can join us on a part-time basis (~10–15h/week), contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development. Teaching sessions are compensated separately. Our selection process is fully asynchronous and designed to respect your time: Application Review — we evaluate your profile against our current needs Async Video Interview — a short self-recorded interview (10–15 minutes max) Test Assignment — approximately 1 hour to complete Talent Pool — finalists are added to our active roster of vetted experts Hiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our team Offer — we extend an offer for a relevant position upon successful completion of the process Apply now — we review applications on an ongoing basis. Please submit your resume in English.

Requirements

Strong hands-on expertise in data engineering, database architecture, or SQL-heavy data infrastructure — with a track record of building and scaling data systems in production environments.
Ability to evaluate real-world database technologies, query engines, and pipeline frameworks — and distinguish practical approaches from hype.
Experience structuring complex data infrastructure knowledge into competency maps, frameworks, skill decompositions, or curriculum logic.
Ability to review technical learning content critically and provide clear, structured feedback to authors and internal stakeholders.
Seniority level that allows autonomous work after onboarding, with strong ownership and minimal supervision.
Strong communication skills and ability to explain complex database and pipeline concepts clearly to mixed stakeholders.
Availability to collaborate within European time zones.
Fluent English (written and spoken); Russian or Spanish is a strong plus.
3–6 years of professional experience in data engineering, database administration, or analytics engineering, with a strong focus on query optimization, data pipeline design, or data warehouse architecture.
Deep knowledge of SQL across at least one major platform (PostgreSQL, MySQL, BigQuery, Snowflake, or similar); familiarity with ETL/ELT concepts and data modeling principles.
Hands-on experience designing and optimizing data workflows in real-world production environments — with concrete cases and measurable impact.
Proven track record in knowledge sharing, mentoring, technical writing, or public communication of data engineering topics.
Strong desire to share knowledge and explain complex concepts in a clear, comprehensible way.
Ability to work independently and take ownership of a content area.
Strong attention to detail.
Availability to dedicate approximately 10 hours per week to collaboration.
1–3 years of experience working with databases and structured data, with hands-on practice in SQL querying, data modeling, and working with real-world datasets.
Solid knowledge of SQL fundamentals: joins, aggregations, subqueries, window functions, and query debugging.
Hands-on experience working with structured data in realistic business or engineering contexts — able to connect SQL concepts to practical outcomes.
Ability to translate database concepts into actionable, engaging learning experiences for professional audiences.
Confident, collaborative, and audience-oriented facilitation style.
Background in mentoring, tutoring, or peer knowledge sharing is a strong plus.
Strong preparation habits and time management; able to commit 10–15 hours per week.

Nice To Haves

Russian or Spanish is a strong plus.

Responsibilities

Lead live, hands-on training sessions for data practitioners and engineering professionals, helping them apply SQL and data infrastructure concepts to real-world technical challenges.
Conduct live, interactive training sessions and workshops.
Prepare practical workshop scenarios and training materials in collaboration with our Instructional Designer.
Develop reusable materials: query-based exercises, data modeling walkthroughs, debugging challenges, and SQL reference guides.
Work with the curriculum team to ensure alignment between asynchronous and live content.
Communicate with students during Q&A sessions.
Review and incorporate learner feedback to continuously improve session design.
Create the core educational content for our Data Infrastructure courses — from structure and learning objectives to lessons, assessments, and final projects.
Collaborate to define the course structure and learning objectives for each module.
Create clear, concise, and comprehensive content: lessons, manuals, guides, session outlines, and assessments.
Prepare content in multiple formats: text, draft slides, and screencasts.
Participate as a speaker in learning videos.
Design the final project for the course.
Work iteratively with instructional designers to improve content quality.
Ensure all content meets industry standards and aligns with course objectives.
Contribute to content updates based on student feedback analysis.
Shape the strategic direction of our Data Infrastructure curriculum, ensuring our programs reflect real engineering needs and current industry practice in database design, SQL, and data pipeline development.
Define topic priorities for Data Infrastructure learning programs targeting data engineers, database administrators, analytics engineers, and adjacent technical roles.
Decompose data infrastructure skills into competency maps, mastery frameworks, and learning roadmaps.
Review course structures and content for technical accuracy, practical relevance, and alignment with learning outcomes.
Act as an internal authority for the Curriculum team — translating market needs and data engineering trends into program strategy.
Support the selection and evaluation of external authors and experts.
Monitor emerging database technologies, query engines, and pipeline frameworks; convert insights into recommendations for new or updated programs.

Benefits

Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
Remote cooperation with a schedule convenient for both you and the team: We don't focus on micromanagement
Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader

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