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NEXTMOVEFDE careers · United States

Data Engineer

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

About Saxon Global

IT consulting and staff-augmentation firm placing contract technologists (developers, DBAs, BI analysts, telehealth nurses) into direct Fortune 500 and enterprise clients across US verticals.

Bootstrapped · 200–500 people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

systems life cycle and therefore responsible for designing, coding, testing, implementing and supporting data platforms and processes that are delivered on time and within budget. • Responsibilities may also include participation in component and interface design, technology planning, product evaluation, advanced testing processes and buy vs. build recommendations. • Individuals also provide input to project plans related to their responsibilities. They ensure data availability, integrity and compliance by performing data cleansing and data validations. They provide data that is congruent, synchronized and reliable, and facilitate user access to data in a semantically meaningful way. • They analyze and develop logical and physical data models; data sourcing, transformation and aggregation logic; and semantic data access layers in support of corporate, customer and/or business partner
More from the job description

Company Description Saxon Global is one of the fastest growing Inc 500 Companies in the US, providing enhanced IT consulting, and engineering solution services from past 16 years. Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud and provides IT tools and services to help organizations across industry verticals such as Financial Services, Retail, Telecom, Healthcare, Banking and Media Entertainment for their continued growth. Job Description Data Engineer Frisco TX • Individuals within the Data Engineering role work closely with business stakeholders and EITS team members to understand the business requirements that drive the analysis and design of quality data solutions. These solutions must be aligned with business and IT strategies and in compliance with the organization’s architectural standards. • Data Engineers are involved in the full systems life cycle and therefore responsible for designing, coding, testing, implementing and supporting data platforms and processes that are delivered on time and within budget. • Responsibilities may also include participation in component and interface design, technology planning, product evaluation, advanced testing processes and buy vs. build recommendations. • Individuals also provide input to project plans related to their responsibilities. They ensure data availability, integrity and compli [... source excerpt omitted ...] ul way. • They analyze and develop logical and physical data models; data sourcing, transformation and aggregation logic; and semantic data access layers in support of corporate, customer and/or business partner business analytics requirements. • They maintain data catalogues and metadata to facilitate self-service access by business users, other data engineers, data visualization specialists and data scientists. • When data related system problems occur, they also perform root-cause analysis and recommend or execute corrective action. • Data Engineers understand the methodologies and technologies that manage the flow of data within and between technology systems and business [... source excerpt omitted ...] knowledge and how this knowledge supports and enables key business processes. • They must have a solid understanding of logical data warehousing design principles and data access requirements for business analytics and exploration. • Also required are analytical skills, the ability to establish and maintain effective working relationships with team members, as well as an innate curiosity around wanting to understand business processes, business strategy and strategic business initiatives to help drive incremental business value from enterprise data assets. Primary Responsibilities and Activities: • Conceptualize, design and develop data integration, transformation and analytics s

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