Why WWT?
At World Wide Technology, we work together to make a new world happen. Our most 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.
WWT was founded in 1990 in St. Louis, Missouri. We employ more than 10,000 people globally and closed nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to have been included on the FORTUNE "100 Best Places to Work For®" list for more than 10 years.
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What will you be doing?
We are seeking a skilled and dynamic Data Engineer to join our pre-sales team. This role requires a unique blend of technical expertise and customer-facing skills to help our clients understand and implement data solutions that drive business outcomes. The ideal candidate will have experience in the enterprise sector and a deep understanding of data engineering and big data technologies.
RESPONSIBILITIES:
- Solution Design: Collaborate with sales and technical teams to design and architect scalable data solutions that meet client needs and business goals.
- Customer Guidance: Guide customers through the technology landscape, clarifying how data management tools and techniques can solve specific business challenges and outlining preliminary implementation plans.
- Opportunity Qualification: Utilize qualification tools to identify and qualify service opportunities, ensuring alignment with customer needs and business goals.
- Knowledge Transfer: Facilitate knowledge transfer within the team to foster a unified approach to Data solutions.
- Partner Relationship Management: Develop and nurture relationships with strategic Data partners, coordinate Data initiatives, and ensure our solutions remain market-leading.
- Pre-Sales Engagement: Act as a technical expert during pre-sales engagements, effectively communicating complex Data management concepts to non-technical stakeholders.
- Presentations and Demonstrations: Deliver compelling presentations and demonstrations that articulate the value of our Data management solutions.
- Client Collaboration: Work with sales teams to understand client needs and tailor Data solutions accordingly.
- Cross-functional collaboration: Collaborate with cross-functional teams to ensure alignment on data strategy and client solutions.
- Research and Experimentation: Conduct hands-on research and experiments in our AI Proving Ground lab to explore new data management concepts and technologies.
- Data Strategy Practice Understanding: Develop and maintain a deep understanding of our data practice, products, and services.
- Content Creation: Create informative research articles and technical documentation on data management concepts, trends, and advancements.
- Training Development: Develop and deliver training materials and sessions on data best practices and our data management solutions to internal teams and clients.
Education: Bachelor's degree in computer science, data management, or a related field.
Certifications: Relevant certifications in data engineering, big data, or cloud platforms
Work Experience: Proven experience as a data engineer in a business environment.
Specialized Knowledge, Skills, and Abilities:
- Technical Expertise: Proficiency in data engineering technologies and tools such as Apache Hadoop, Spark, Kafka, SQL, and NoSQL databases.
- Cloud Platforms: Experience with cloud platforms such as AWS, Azure, Google Cloud, Snowflake, or Databricks including data storage, processing, and migration services.
- Big Data Technologies: Strong understanding of big data architectures, data lakes, ETL processes, and data warehousing solutions.
- Programming Languages: Proficiency in programming languages such as Python, Java, or Scala.
- Data Integration: Experience with data integration tools and techniques, including APIs, data pipelines, and real-time data processing.
- Excellent presentation and communication skills, with the ability to simplify complex data management concepts for non-technical audiences.
- Customer Focus: Strong customer engagement skills with a proven ability to understand client needs and deliver tailored solutions.
- Experience creating technical documentation, research articles, and training materials.
- Experience working in a pre-sales or customer-facing role.
- Industry Certifications: Relevant certifications in data engineering, big data, or cloud platforms.
- Preferred Experience with AI: Understanding of AI and machine learning concepts, and how they intersect with data engineering.
The well-being of WWT employees is essential. So, 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, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
- Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
Diversity, Equity, and Inclusion is more than a commitment at WWT -- it is the foundation of what we do. Through diverse networks and pipelines, we have a clear vision: to create a Great Place to Work for All. We believe inclusion includes U. Be who U are at WWT!
Equal Opportunity Employer Minorities/Women/Veterans/Individuals with Disabilities
Preferred (Not Required) Locations: St. Louis, Milwaukee, Chicago, Austin, Dallas, Phoenix, Charlotte, Atlanta and potentially others
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