Data Engineer III (6352)

itD Tech•Menlo Park, CA

23h•Onsite

About The Position

itD is seeking a Data Engineer to design, develop, test, and maintain scalable data architectures and solutions that strengthen the organization’s data assets. The role calls for experience in data engineering, enterprise ETL processes, and data management systems, with a focus on reliable, high-performance solutions aligned with business requirements and industry practices. The position is onsite in Menlo Park, California, pays $65–$70 per hour depending on experience, and has a stated duration of six months. Applicants must be direct W-2 candidates; sponsorship is not available. The role also includes internal practice activities such as attending community meetings and networking events, collaborating on industry thought leadership, creating case studies and learning materials, contributing to the Digital Transformation practice, and working with leadership on career opportunities. itD describes itself as a woman- and minority-led consulting and software development company with a collaborative, relatively non-hierarchical structure. Employees may work with Fortune 500 companies and high-performance teams across industries, participate in a global community, and pursue their own career development and opportunities to give back.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
Experience designing, developing, testing, and maintaining data management systems.
Experience developing and maintaining enterprise-scale ETL processes.
Ability to work independently with minimal direction and collaboratively within a team.
Strong written, verbal, and presentation communication skills.
Experience collaborating with data architects, data modelers, and IT teams to achieve project goals.
Strong computer skills, including knowledge of Microsoft SharePoint.

Nice To Haves

Process improvement or process management certification, such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI.
Experience developing high-performance algorithms, predictive models, prototypes, and proof-of-concept solutions.
Familiarity with industry practices for data management, data protection, and enterprise data solution delivery.

Responsibilities

Design, build, test, deploy, and maintain scalable data management systems that support organizational data requirements.
Develop, implement, automate, and maintain large-scale enterprise ETL processes.
Evaluate data architectures and solutions to ensure they meet business requirements and industry practices.
Develop high-performance algorithms, prototypes, predictive models, and proof-of-concept solutions.
Collaborate with data architects, data modelers, and IT team members to align data solutions with project goals.
Maintain and enhance data solutions to protect, deliver, and maximize the value of organizational data assets.
Communicate technical concepts, project progress, and solution outcomes through clear written, verbal, and presentation skills.
Attend regular internal practice community meetings.
Collaborate with the itD practice team on industry thought leadership.
Complete client case studies and learning materials, including blogs and media materials.
Build materials to contribute to the Digital Transformation practice.
Attend internal itD networking events, in person and virtually.
Work with leadership on career fast-track opportunities.