Data Engineer IV (6249)

The Itd
United States
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Business Process Management Capability Maturity Model Integration Computer Engineering Information Engineering Data Integrity Extract Transform Load (ETL) Data Transformation Machine Learning AI Infrastructure Data Processing
+3 more
Information Technology Data Management Data Pipelines

Job description

  • 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.

Requirements

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

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Paid holidays, 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.

About the company

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., 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.

Apply for this position

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