Senior Data Engineer

Qualifications

• 5-8+ years of hands-on data engineering experience, or equivalent experience, designing, building, and supporting production data pipelines, analytical models, and enterprise data platforms.
• Advanced SQL skills, including complex query development, performance tuning, debugging, validation, and analytical modeling.
• Experience with Python or another modern programming language for automation, data processing, testing, or platform integration.
• Experience with Snowflake or comparable cloud data platforms, including scalable transformations, secure access, performance optimization, and cost-aware usage.
• Experience with data warehousing concepts, including dimensional modeling, Data Vault, operational data stores, data marts, views, and reusable delivery components.
• Experience building and supporting batch and/or streaming pipelines using tools such as Kafka, Apache NiFi/OpenFlow, ODI, dbt, Airflow, Azure Data Factory, or similar technologies.
• Strong understanding of data quality, reconciliation, lineage, security, source system analysis, and downstream consumption requirements.
• Strong communication, documentation, and collaboration skills, including the ability to explain technical tradeoffs to technical and non-technical audiences.
• Ability to work independently, clarify ambiguous needs, identify risks, and deliver reliable solutions with appropriate guidance and collaboration.

Preferred Qualifications

• Experience with Data Vault concepts, including hubs, links, satellites, historization, lineage, and consumer-ready delivery structures.
• Experience with Microsoft Fabric, OneLake, Power BI semantic models, Tableau transition patterns, or BI-focused consumption layers.
• Experience exposing governed data through catalogs, APIs, GraphQL, MCP, data products, or application-consumption patterns.
• Experience with Snowflake capabilities such as Streams, Tasks, Dynamic Tables, Cortex, semantic views, Snowpark, secure views, data sharing, Iceberg, or platform monitoring.
• Experience with event-driven architecture, Kafka Connect, Kubernetes/OpenShift, CI/CD, Infrastructure as Code, observability, or automated environment refresh patterns.
• Understanding of how AI, RAG, agentic workflows, and AI-assisted analytics consume trusted enterprise data.

Certain states and localities require employers to post a reasonable estimate of the salary range. A reasonable estimate of the current base pay range for this position is $111,600 to $167,400 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that are not included in the base pay. 

The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
• Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits. For more information, see our US Benefits Website

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!

If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process. World Wide Technology is an Equal Opportunity Employer.

If you have any questions or concerns about this posting, please email taposting@wwt.com.

#LI-REMOTE

#LI-MP1

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!
 
What is the Internal WWT IT Team, and why join? 

The Internal WWT IT team is the backbone of our company’s technological infrastructure, ensuring seamless operations and continuous innovation. Our team is dedicated to managing and supporting the company’s technology infrastructure, ensuring the smooth operation of hardware, software, networks, and data systems, while providing top-notch technical support to employees.   

By joining the Internal WWT IT team, you will play a crucial role in maintaining the efficiency and security of our IT environment, enabling the company to achieve its strategic goals. The Internal IT team offers the opportunity to work in a dynamic and collaborative environment, where your contributions will have a direct impact on the company's success. If you are passionate about technology and eager to take on new challenges, we encourage you to apply and join our team. 

The Senior Data Engineer is a senior-level individual contributor responsible for designing, building, modernizing, and supporting scalable enterprise data solutions across WWT’s data platforms. This role delivers governed, reusable data products, pipelines, models, and integration patterns that support analytics, applications, APIs, AI-enabled use cases, and business decision-making.

Candidates should have strong hands-on engineering skills, sound architectural judgment, and the ability to translate ambiguous requirements into reliable data solutions while collaborating across business, analytics, product, architecture, and IT teams.

• Design, build, test, deploy, and support enterprise data pipelines, analytical models, reusable components, and governed data products.
• Develop and modernize solutions using Snowflake, Oracle DW, SQL, Python, Kafka or other streaming technologies, Microsoft Fabric, Power BI, and related integration tools.
• Lead data engineering delivery for Data Vault, data warehouse, operational data store, data mart, semantic, and application-consumption patterns.
• Analyze source systems, business rules, data quality, lineage, security, performance, and consumption needs to create reliable, maintainable solutions.
• Partner with architects, analytics teams, product owners, data stewards, business stakeholders, and platform teams to define designs, validate outputs, and align delivery to enterprise standards.
• Troubleshoot production issues, optimize performance, improve reliability, reduce technical debt, and strengthen operational support practices.
• Contribute to engineering standards, reusable patterns, documentation, code reviews, CI/CD, monitoring, and platform modernization.
• Mentor engineers and peers through technical guidance, knowledge sharing, documentation, and practical support.