Technology - Senior Data Engineer

Join an innovative team at the forefront of data engineering and Generative AI integration. As a Senior Data Engineer, you will drive the development of advanced data solutions, collaborating with business, science, and technology teams to enable impactful analytics, machine learning, and data-driven applications. You’ll be instrumental in building robust ETL/ELT pipelines, integrating GenAI tools, and producing high-quality datasets for scientific models and visualizations. This is an excellent opportunity to expand your skills in a collaborative, technology-focused environment., Gather and analyze data requirements; translate business needs into technical specifications

• Design, develop, and maintain advanced analytic data pipelines using Python and SQL
• Implement and optimize ETL/ELT processes for reliable data flows
• Integrate GenAI concepts, tools, and APIs (LLMs, embeddings, RAG, OpenAI, LangChain, AWS Bedrock) into engineering workflows
• Develop, validate, and manage datasets for science models and visualizations
• Support and enhance data warehouse solutions leveraging platforms like PostgreSQL, Snowflake, and Databricks
• Manage code deployment and promotion using DevOps best practices and source control tools (GitLab, GitHub)
• Monitor and orchestrate data workflows using Apache Airflow
• Participate in technical reviews, ensuring quality and performance of deliverables
• Collaborate cross-functionally and communicate complex technical concepts to non-technical stakeholders

Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or related field

• 5+ years of technology experience in data engineering roles
• Advanced expertise in Python and SQL
• Strong track record in developing and maintaining ELT/ETL pipelines
• Proficient in database and data warehouse design (PostgreSQL, Snowflake)
• Practical understanding of GenAI tools, LLMs, embeddings, prompt engineering, and vector databases/RAG architectures
• Experience with GenAI APIs/frameworks (OpenAI, LangChain, AWS Bedrock)
• Hands-on experience with job orchestration (Apache Airflow)
• Familiarity with multi-environment DevOps workflows and source control (GitLab, GitHub)
• Strong problem-solving skills and ability to communicate technical concepts effectively

Preferred Skills

• Experience with analytic systems and big data technologies (Databricks, Snowflake)
• Proficiency in API development and cloud architecture (AWS preferred)
• Knowledge of Infrastructure as Code, Docker, Kubernetes, and elastic scaling
• Experience working with large datasets and advanced data platforms, Basic Qualifications:* 5+ years of technology experience* Strong experience with ELT/ETL data pipeline development and maintenance* Proven expertise using Python and SQL* Strong understanding of database and data warehouse design and proficiency utilizing various data platforms such as PostgreSQL Snowflake etc* Solid understanding of GenAI concepts and tools (eg LLMs embeddings prompt engineering)* Understanding of vector databases or RAG (Retrieval-Augmented Generation) architectures* Experience working with GenAI APIs or frameworks (eg Open AI LangChain AWS Bedrock)* Experience with developing in a multi environment (Dev QA prod etc) and DevOps procedures for code deployment/promotion using a source control product such as GitLab or GitHub* Hands-on knowledge of job orchestration software like Apache Airflow* Experience and understanding of one or more business domains to a Docker and containerization and elastic scaling with Kubernetes or a similar framework and with AWS* Experience working with large datasets and big data technologies such as Snowflake Databricks or similar* Demonstrated proficiency with API development* Knowledgeable on cloud architecture and product offerings preferably AWS

Work onsite at a premier Lake Buena Vista location

• Collaborate with industry-leading teams on cutting-edge technology initiatives
• Opportunity for career advancement in AI, data engineering, and cloud platforms
• Exposure to GenAI technologies and real-world applications
• Dynamic, supportive, and innovative work environment