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# Data Engineer-Secret Clearance Required

- **Company:** World Wide Technology
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $100,000.0 - $127,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Databases, Data Architecture, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Security, Data Warehousing, Relational Databases, Database Development, Database Security, Distributed Data Store, Data Flow Control, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Performance Tuning, Power BI, SQL Databases, SQL Server Integration Services, Data Streaming, Tableau (Software), Talend, Teradata SQL, Data Logging, Data Processing, Scripting, Google Cloud, Azure Data Factory, Informatica Powercenter, Snowflake, Indexer, SC Clearance, Build Management, Data Lakes, AWS Glue, Data Analytics, Google Bigquery, Integration Frameworks, Data Management, Tools for Reporting, Azure Synapse Analytics, Amazon Redshift
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ef61c0463d2a707d

## About the Role

Do you have experience in Performance tuning?, * 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 ie 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

Knowledge, Skills, and Abilities

 * 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 situation

Travel Requirements

Up to 25% of the time Domestic and International Travel

## Description

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!, 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., * 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 along-side data scientists, supporting the development of high-performance algorithms, models and prototypes
 * Implements data quality metrics, standards, 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


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