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

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.Who are we looking for?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.Role levels we're hiring across:Junior level — Instructors Ideal background: Data Analyst, Junior Data Engineer 1–3 years working with databases and structured data. You're comfortable writing SQL queries, working with joins and aggregations, and explaining SQL logic step-by-step with realistic examples. In your sessions, you guide students through real datasets, help them debug queries, and build their confidence with structured data.Mid level — Authors Ideal background: Data Engineer, Analytics Engineer 3–6 years managing large datasets and data pipelines. You specialize in query optimization, pipeline design, and data warehouse concepts. As a course author, you explain database design choices and data flow decisions in a way that connects technical depth to practical outcomes for engineering teams.Senior level — Subject Matter Experts Ideal background: Analytics Director, Data Architect 6+ years in data infrastructure, including experience leading large-scale database design or data architecture projects. You've shaped data governance practices and can speak credibly to data infrastructure strategy at the organizational level. You contribute to curriculum design and ensure our programs reflect current industry standards.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.Compensation: $40–150/hour, depending on experience and format of collaboration.Our selection process is fully asynchronous and designed to respect your time:Application Review — we evaluate your profile against our current needsAsync Video Interview — a short self-recorded interview (10–15 minutes max)Test Assignment — approximately 1 hour to completeTalent Pool — finalists are added to our active roster of vetted expertsHiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our teamOffer — we extend an offer for a relevant position upon successful completion of the processApply now — we review applications on an ongoing basis. Please submit your resume in English.What you will do:Available RolesWe are building a talent pool of Instructors, Authors, and Subject Matter Experts for our Data Infrastructure educational programs. We hire on an ongoing basis across the following specializations:Most in demand: Basic SQL, Advanced SQL, Query Optimization, Data Pipeline Design Also relevant: Data Warehouse Concepts, Database Design, Data Modeling, and adjacent data engineering topicsInstructor You will 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 workshopsPrepare practical workshop scenarios and training materials in collaboration with our Instructional DesignerDevelop reusable materials: query-based exercises, data modeling walkthroughs, debugging challenges, and SQL reference guidesWork with the curriculum team to ensure alignment between asynchronous and live contentCommunicate with students during Q&A sessionsReview and incorporate learner feedback to continuously improve session designAuthor You will create the core educational content for our Data Infrastructure courses — from structure and learning objectives to lessons, assessments, and final projects.Collaborate with us to define the course structure and learning objectives for each moduleCreate clear, concise, and comprehensive content: lessons, manuals, guides, session outlines, and assessmentsPrepare content in multiple formats: text, draft slides, and screencastsParticipate as a speaker in learning videosDesign the final project for the courseWork iteratively with instructional designers to improve content qualityEnsure all content meets industry standards and aligns with course objectivesContribute to content updates based on student feedback analysisOptional: participate as an instructor in live sessions — compensated separatelySubject Matter Expert You will 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 rolesDecompose data infrastructure skills into competency maps, mastery frameworks, and learning roadmapsReview course structures and content for technical accuracy, practical relevance, and alignment with learning outcomesAct as an internal authority for the Curriculum team — translating market needs and data engineering trends into program strategySupport the selection and evaluation of external authors and expertsMonitor emerging database technologies, query engines, and pipeline frameworks; convert insights into recommendations for new or updated programs⌛ All roles are part-time: 10–15 hours per week.Requirements:Subject Matter ExpertStrong 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 environmentsAbility to evaluate real-world database technologies, query engines, and pipeline frameworks — and distinguish practical approaches from hypeExperience structuring complex data infrastructure knowledge into competency maps, frameworks, skill decompositions, or curriculum logicAbility to review technical learning content critically and provide clear, structured feedback to authors and internal stakeholdersSeniority level that allows autonomous work after onboarding, with strong ownership and minimal supervisionStrong communication skills and ability to explain complex database and pipeline concepts clearly to mixed stakeholdersAvailability to collaborate within European time zonesFluent English (written and spoken); Russian or Spanish is a strong plusAuthor3–6 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 architectureDeep knowledge of SQL across at least one major platform (PostgreSQL, MySQL, BigQuery, Snowflake, or similar); familiarity with ETL/ELT concepts and data modeling principlesHands-on experience designing and optimizing data workflows in real-world production environments — with concrete cases and measurable impactProven track record in knowledge sharing, mentoring, technical writing, or public communication of data engineering topicsStrong desire to share knowledge and explain complex concepts in a clear, comprehensible wayAbility to work independently and take ownership of a content areaStrong attention to detailAvailability to dedicate approximately 10 hours per week to collaborationFluent English (written and spoken); Russian or Spanish is a strong plusInstructor1–3 years of experience working with databases and structured data, with hands-on practice in SQL querying, data modeling, and working with real-world datasetsSolid knowledge of SQL fundamentals: joins, aggregations, subqueries, window functions, and query debuggingHands-on experience working with structured data in realistic business or engineering contexts — able to connect SQL concepts to practical outcomesAbility to translate database concepts into actionable, engaging learning experiences for professional audiencesConfident, collaborative, and audience-oriented facilitation styleBackground in mentoring, tutoring, or peer knowledge sharing is a strong plusStrong preparation habits and time management; able to commit 10–15 hours per weekFluent English (written and spoken); Russian or Spanish is a strong plusWhat we can offer you:The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current roleCompetitive 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 micromanagementCross-cultural experience: Become part of an international team and connect with professionals from diverse backgroundsMeaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational contentParticipation in innovative projects: Contribute to shaping the future of programming education and AI adoptionProfessional growth: Receive feedback and develop your skills as a technical content creator and thought leader