Role Description We are looking for a curious and driven Data Engineering Intern to join our Data & AI team. You will primarily focus on building and maintaining robust data pipelines and infrastructure, while also contributing to applied AI projects involving Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. This is a hands-on role. You will work alongside senior engineers and data scientists, contributing to production-grade systems. The role is roughly 65% Data Engineering and 35% Data Science / Applied AI. What You’ll Own - Data Engineering - Design, build, and maintain scalable ETL/ELT data pipelines using tools like Apache Airflow, dbt, or Spark - Work with structured and unstructured data from various sources — APIs, databases, event streams - Write optimized SQL queries and data transformation logic for analytical and ML use cases - Maintain and improve data quality, schema management, and pipeline monitoring - Collaborate on data warehouse and data lake architecture (e.g., Snowflake, BigQuery, Delta Lake) - Document data flows, lineage, and schema definitions - Data Science & Applied AI - Build and evaluate RAG pipelines — chunking, embedding, indexing, and retrieval - Work with vector databases (e.g., Pinecone, Weaviate, pgvector) for semantic search - Integrate LLM APIs (OpenAI, Anthropic, open-source models) into data products or internal tools - Help with prompt engineering, evaluation frameworks, and fine-tuning experiments - Support exploratory data analysis and feature engineering for ML workflows Qualifications - Pursuing a degree in Computer Science, Data Science, Engineering, or a related field - Solid foundation in Python — comfortable writing clean, modular, production-quality code - Hands-on experience with SQL (query optimization, CTEs, window functions) - Familiarity with at least one cloud platform — AWS, GCP, or Azure - Understanding of data pipeline concepts: batch vs streaming, orchestration, idempotency - Strong analytical mindset with attention to data quality and correctness - Experience with workflow orchestrators: Apache Airflow, Prefect, or Dagster - Exposure to dbt for data transformation and testing Requirements - The expected hourly range for this position is $20/hour. Important Notice Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams . If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

• Plan and organize internal events according to internal requirements, including researching and hiring vendors, booking venues, planning transportation, inviting participants, planning activities, banquet management, packing event materials and creating name badges and signage. • Communicate directly with stakeholders throughout the event planning process to provide updates, align on event goals, coordinate guest list and vendor specifications, and ensure all parties understand relevant information and details. • Meet with leaders and executives as necessary to discuss and plan event specifications such as scope, format, budget, administrative details, and special requirements. • Negotiate contracts with venue personnel, caterers, hospitality staff, A/V providers, and other vendors to acquire necessary services and activities for events while meeting budgetary objectives. • Remotely monitor and oversee events from preparation and set-up through teardown to ensure adherence to planned format, compliance with regulations, cooperation between vendors, resolution of issues, and overall satisfaction of participants and sponsors. • Perform post-event tasks promptly such as meeting with clients to ensure satisfaction, reviewing invoices and bills, approving payments, and documenting issues and resolutions. • Evaluate potential locations, providers, vendors, and other professionals frequently to determine viability for future events and build a personal knowledge base to better serve stakeholders. • Monitor Employee Experience events inbox and manage communication templates • Assist with other administrative tasks for employee experience team as needed

• Own Blackboard’s global events strategy and execution from end to end • Set the strategic prioritization framework for where Blackboard shows up and with what goals • Build and manage the Sales, CSM, and Sales Enablement relationships • Build and maintain a structured events taxonomy • Own all logistics for global events and manage local and contract staff as needed • Ensure every event delivers a brand-consistent, audience-appropriate experience

• Own Blackboard’s global events strategy and execution • Build and manage the global events calendar and prioritization framework • Own the global events budget with full accountability for spend • Own all logistics for global events • Build and own the full communications infrastructure surrounding every event • Build and own the operational relationship with Sales, CSMs, Sales Enablement, and Solution Engineering