Data Engineer

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This is a full-time direct hire position. We are not able to offer visa sponsorship, 1099 status, or work with C2C for this role.

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world‑class culture, generous benefits and by delivering cutting‑edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Our Government Services team provides resources to the Federal, State, and Local Government markets. We excel at delivering innovative, operationally ready, and cost‑effective IT solutions that accelerate the interoperability and resiliency of mission critical systems.

World Wide Technology, LLC has an opportunity available for a Data Engineer to support our Government Services team in developing an AI model to evaluate data integrity and identify errors for evaluation and resolution. The ideal candidate will have strong skills in Dev Sec Ops  practices, with hands‑on experience in infrastructure automation, configuration management, and CI/CD pipelines.

• Design and construct scalable data pipelines and ETL processes for ingesting and transforming structured and unstructured data, using OCR, large language models, vision‑language models, and reasoning agents
• Build and optimize modern data storage cloud environment, including cloud‑based data lakes and warehouses, to support advanced analytics and GenAI workflows.
• Implement data integration workflows that prioritize performance, security, and scalability while ensuring data quality and governance.
• Collaborate with data scientists and machine learning engineers to prepare high‑quality datasets for model development, training, and inference.
• Monitor and troubleshoot data pipeline performance, addressing bottlenecks and failures to ensure reliability and scalability.
• Employ Dev Ops practices to set up CI/CD pipelines, automate testing, and ensure reliable deployment of data workflows and services.

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 3-5 years of experience in data engineering.
• Strong proficiency in programming languages like Python for data processing pipeline development.
• Experience with distributed data processing frameworks (e.g., Apache Spark) and SQL for handling large‑scale datasets.
• Proficiency in working with databases (SQL and No
  
  SQL) and data storage systems (e.g., Oracle Database, Delta Lake).
• Experience working with vector databases or similar technologies (e.g., Pinecone, FAISS).
• Familiarity with orchestration tools (e.g., Apache Airflow, Prefect) for data workflows.
• Understanding of data security, governance, and compliance best practices.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., Azure AI Search, Big Query, Redshift).
• Proficiency with common Dev Ops practices, including…