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Deloitte

Audits companies and advises on tax and technology

Data and AI Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBaltimore, MD, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field is required.
  • At least 3 years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows are required.
  • At least 1 year of experience using Python and SQL to conduct analysis and build production ETL pipelines is required.
  • At least 1 year of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability is required.
  • The candidate must be able to travel 10%, on average, based on the work and clients and industries/sectors served.
  • The candidate must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment.
  • The candidate must be able to work on-site in Washington, D.C. at least three days a week.
  • The candidate must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.
  • The candidate must be able to work independently and collaboratively.
  • The candidate must have effective written and verbal communication skills.
  • The candidate must demonstrate meticulous attention to detail and quality of work product.
  • The candidate must be able to build and sustain professional relationships.
  • The candidate must be able to lead projects or workstreams.
  • The candidate must be able to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
  • The candidate must have strong interpersonal skills and a professional demeanor.
  • The candidate must be able to meet deadlines.
  • The candidate must be able to provide clear guidance to others.

Responsibilities

  • Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data.
  • Develop and optimize data models, integration patterns, and storage solutions to support analytics, reporting, and operational use cases.
  • Collaborate with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls.
  • Build and support batch and near-real-time processing solutions using cloud-based and distributed data technologies.
  • Document technical designs, data lineage, and deployment processes, and support testing, release, and production stabilization activities.

Desired Qualifications

  • A master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field is preferred.
  • Experience in cloud platform development and analytics, such as AWS, Azure, or Databricks, is preferred.
  • Experience in Tableau, Power BI, or equivalent dashboarding platforms is preferred.

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$17.1M
Headquarters
New York, NY
Founded
1845

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