Data Engineer

Qualifications:  

• Bachelor’s degree – Computer Science or a minimum of 5 years’ progressive experience in a related field. 
• 3+ years of experience in analytics, SQL, and/or ETL development. 
• Proficiency in data warehousing/business intelligence development/data modeling. 
• 3+ years’ experience building large scale data sources in Oracle or equivalent relational databases
• Have excellent SQL skills with PL/SQL development experience. 
• Hands-on development experience using an ETL tool; Oracle Data Integrator preferred. 
• Hands-on development experience with Snowflake/Snowpipe 
• Strong analytical and problem-solving capabilities. 
• Experience with BI reporting tools like Tableau, Power BI. 
• Programming skills: Java, Python. 
• Expertise with CI/CD pipeline and integration tools e.g., Jenkins, GIT. 
• Understand an analytics platform, its use-cases, and best practices. 
• Experience working with different types of data stores (RDMS, Flat Files, Columnar DBs, etc.) 
• Strong understanding of dimensional modeling, including Data Lake, Data Warehouse and Data Lakehouse 
• Experience with Cloud-based environment, Saas / Raas. 
• Experience with any of the cloud warehousing products g. Databricks, Snowflake, Redshift, etc. 
• Experience in designing Data Architecture and pipelines. 
• Proficient in performance tuning and debugging. 
• Experience required to work in a fast-paced environment with a focus on delivering customer satisfaction. 
• Travel - up to 10% of the time. (domestic and international) 
• Must be authorized to work within the US. We will not be able to sponsor employment for this position.   

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 $91,200 to $136,800 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 [email protected].

#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. 

What will you be doing?  

As a Data Engineer, you'll collaborate with a multi-disciplinary team of solution architects and data scientists to solve a wide range of business problems. You'll be an integral part of the IT Services and Consulting Analytics team, responsible for sourcing and transforming Services related data to support Services and Consulting Analytics reporting and AI tools. 

In this role, you'll primarily architect, develop, and maintain our data pipelines and ETL processes, build integrations, and develop complex data models that foster data-driven decision-making across all functional areas.  

Data Engineer must be able to:  

• Work collaboratively with team members to execute on all phases of the data delivery lifecycle (Requirements gathering, refinement and solutioning, development, testing, deployment, and support)   
• Gain subject matter expertise in various business domain 
• Apply technical expertise to solve complex business problems 
• Effectively communicate with business stakeholders for successful project execution 
• Mentor team members as necessary 

Responsibilities:  

• Support our Analytics partners embedded in the business, providing data to analysts across the company. 
• Be an equal member of a cohesive and selfless team. 
• Take complete ownership of your work with the goal of exceeding customer expectations. 
• Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal  
• Consult on the design, development, and implementation of innovative solutions to complicated data issues which enhance traditional star-schema data structures. 
• Expertise in Data Engineering and implement multiple end-to-end DW projects.
• Support and debug issues in production environment and be part of production support, across several reporting toolsets. 
• Embrace the opportunity to expand your skillset both functionally and technically. 
• Design, create, and implement complex data models (including canonical, conceptual, logical, and physical models). 
• Implement new design  
• Build, scale, and maintain our data infrastructure and data products. 
• Implement physical database models and tune SQL. 
• Use ANSI SQL and/or PL/SQL to perform data analysis. 
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and “big data” 
• Flexibility to work as a member of a matrix based diverse and geographically distributed project teams.