Data Engineer-Secret Clearance Required

US Security Clearance is required for this role.

About WWT

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 distributions 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.

About the Solutions Consulting & Engineering (SC&E) Team

Solutions Consulting & Engineering is a customer-focused and solutions-led organization. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability, and growth. Our success is enabled by world-class management consulting, delivery excellence, and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.

About the Role

The Consulting Data Engineer role requires experience in both traditional warehousing technologies (e.g., Teradata, Oracle, SQL Server) and modern database/data warehouse technologies (e.g., AWS Redshift, Azure Synapse, Google Big Query, Snowflake), as well as expertise in ETL tools and frameworks (e.g., SSIS, Azure Data Factory, AWS Glue, Matillion, Talend), with a focus on how these technologies affect business outcomes. This person should have experience with both on-premise and cloud deployments of these technologies and in transforming data to adhere to logical and physical data models, data architectures, and engineering a dataflow to meet business needs. This role will support engagements such as data lake design, data management, migrations of data warehouses to the cloud, and database security models, and ideally should have experience in a large enterprise in these areas.

Responsibilities

• Develops high-performance distributed data warehouses, distributed analytic systems, and cloud architectures
• Participates in developing relational and non-relational data models designed for optimal storage and retrieval
• Develops, tests, and debugs batch and streaming data pipelines (ETL/ELT) to populate databases and object stores from multiple data sources using a variety of scripting languages; provide recommendations to improve data reliability, efficiency, and quality
• Works alongside data scientists, supporting the development of high-performance algorithms, models, and prototypes
• Implements data quality metrics, standards, and guidelines; automates data quality checks/routines as part of data processing frameworks; validates flow of information
• Ensures that Data Warehousing and Big Data systems meet business requirements and industry practices including but not limited to automation of system builds, security requirements, performance requirements, and logging/monitoring requirements

Requirements

• Bachelor’s Degree in Arts/Sciences (BA/BS) or related field (a combination of education, training, and experience may be considered in lieu of a degree)
• A minimum of 3-5 years progressive experience in a related field
• Experience with at least one traditional data warehousing technology (e.g., Teradata, Oracle, SQL Server) and/or modern platforms (e.g., AWS, GCP, Azure)
• Experience in one scripting language such as Python, Java, or Scala
• Experience in SQL scripting, tuning, indexing, partitioning, data access patterns, and scaling strategies
• Experience with data integrations and data processing for business intelligence and analytics workloads
• Experience as a key player in developing an enterprise data warehouse

Skills

• Ability to translate a logical data model into a relational or non-relational solution
• Expert in one or more of the following ETL tools: SSIS, Azure Data Factory, AWS Glue, Matillion, Talend, Informatica, Fivetran
• Hands-on experience in setting up end-to-end cloud-based data lakes
• Hands-on experience in database development using views, SQL scripts, and transformations
• Ability to translate complex business problems into data-driven solutions
• Working knowledge of reporting tools like Power BI, Tableau, etc.
• Ability to identify data quality issues that could affect business outcomes
• Flexibility in working across different database technologies and propensity to learn new platforms on-the-fly
• Strong interpersonal skills
• Team player prepared to lead or support depending on the situation

Travel Requirements

Up to 25% of the time, including domestic and international travel.

Pay

A reasonable estimate of the current base pay range for this position is $100,000-$127,000 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.

Benefits

• 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