Data Engineer IV (6249)

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design, build, and optimize scalable AWS-based data pipelines and ETL to produce analytics-ready datasets. Support AI infrastructure and inference initiatives, collaborate with architects and engineers, develop high-performance data processing solutions, and manage projects through full lifecycle while improving reliability and operational efficiency.
Summary Generated by Built In

Data Engineer IV

itD is seeking a Data Engineer IV to design, build, and optimize scalable data infrastructure that supports AI infrastructure and inference initiatives for a high-performing engineering organization. The ideal candidate will bring deep expertise in data engineering, AWS, large-scale ETL development, and analytics, with a proven track record of building end-to-end data pipelines, transforming raw data into production-ready datasets, and delivering reliable enterprise data solutions that improve operational efficiency and system reliability.

Location: Remote (Candidates must be located within the Pacific Time Zone.)

Pay Rate: Depending on experience.

Duration: 6months

We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities

  • Design, develop, and maintain end-to-end data pipelines and scalable data architectures using AWS technologies.
  • Build and optimize ETL processes that transform raw data into structured, analytics-ready datasets.
  • Design, implement, automate, and support enterprise-scale data management systems that meet business and engineering requirements.
  • Partner with AI infrastructure engineers, data architects, and cross-functional stakeholders to improve data reliability, scalability, and operational efficiency.
  • Develop high-performance data processing solutions, prototypes, and proof-of-concept implementations to support infrastructure initiatives.
  • Manage data engineering projects through the full development lifecycle, from requirements gathering to deployment and ongoing optimization.
  • Identify opportunities to improve existing data processes, enhance system performance, and implement engineering best practices.

Internal Responsibilities

  • Attend regular internal practice community meetings.
  • Collaborate with your itD practice team on industry thought leadership.
  • Complete client case studies and learning material (blogs, media material).
  • Build out material to contribute to the Digital Transformation practice.
  • Attend internal itD networking events (in person and virtual).
  • Work with leadership on career fast-track opportunities.

Required Qualifications and Skills

  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field.
  • 8+ years of experience in data engineering or a related technical discipline.
  • Experience designing and building end-to-end data pipelines from scratch using AWS.
  • Experience developing and maintaining large-scale ETL processes and enterprise data solutions.
  • Experience transforming raw data into structured, analytics-ready data models and tables.
  • Strong analytical skills with experience solving complex data engineering challenges.
  • Experience collaborating with data architects, software engineers, and cross-functional technical teams.
  • Excellent written, verbal, and presentation communication skills.

Preferred Qualifications and Skills

  • Experience supporting AI infrastructure, machine learning platforms, or inference systems.
  • Infrastructure engineering or platform engineering experience.
  • Previous experience working in large-scale technology organizations.
  • Previous experience supporting Meta or similar enterprise environments.
  • Process improvement certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI.

Education

  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field required.

Company Description
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.

The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at [email protected] and let us know the nature of your request and your contact information.

Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

Skills Required

  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or related technical field
  • 8+ years of experience in data engineering or related technical discipline
  • Experience designing and building end-to-end data pipelines using AWS
  • Experience developing and maintaining large-scale ETL processes and enterprise data solutions
  • Experience transforming raw data into structured, analytics-ready data models and tables
  • Strong analytical skills with experience solving complex data engineering challenges
  • Experience collaborating with data architects, software engineers, and cross-functional technical teams
  • Excellent written, verbal, and presentation communication skills
  • Must be located within the Pacific Time Zone
  • Direct W2 candidates only; employer cannot offer visa sponsorship
  • Experience supporting AI infrastructure, machine learning platforms, or inference systems
  • Infrastructure engineering or platform engineering experience
  • Previous experience working in large-scale technology organizations
  • Previous experience supporting Meta or similar enterprise environments
  • Process improvement certifications (Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI)
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The Company
HQ: Campbell, California
273 Employees
Year Founded: 2005

What We Do

itD is a different kind of technology and software development consultancy that puts client needs at the center of what we do. We combine the experience of a full-service consultancy with the agility of a specialized firm to help clients reimagine and improve operations and solve challenges unique to their business. Founded in 2005, we are headquartered in Silicon Valley and are honored to have long term partnerships with many of the world’s leading enterprise technology firms. With onshore, nearshore and offshore capability centers we are able to provide seamless global reach. We define ourselves by solving the toughest challenges in business. To tackle these challenges, we deploy the best people armed with the best technology to help our clients by enabling next-generation experiences, transforming tech operations, leveraging BI and analytic depth to convert data to advantage, delivering advanced DevOps and software development services and unlocking the potential of AI. Our mantra as itD is “Innovate Transform Deliver” and as a proud woman- and minority-owned business, we are focused on delivering a unique perspective and approach that attracts a robust and diverse talent pool. We believe this diversity of talent, thinking and perspective leads to better outcomes for our clients and a positive impact in our communities through our focus on giving back initiatives. We invite you to bring us the challenges no one else can solve. Because while other firms might give up, pivot, or pass… Impossible drives us. Certified Woman Owned - WBENC

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