Data Engineer @ U.S. National Archives and Records Administration
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Job Details
About U.S. National Archives and Records Administration
As the living, growing home of our national story, The National Archives is a nearly 200-year-old institution with a collection spanning 1,000 years of history. We are on a journey to become the 21st Century national archive - inclusive, entrepreneurial, and disruptive.
Job Overview
Salary: £42,002 plus an additional market supplement of £2,998 per annumContract: PermanentBand: E / HEOPositions: 2 full time (with part-time, flexible working and job share considerations)
Role Description
As a Data Engineer in our Digital Archiving team, you will design and develop scalable data pipelines to process, transform, and load archival data. You will automate data cleansing and enrichment processes, develop data schemas and models, and integrate data from various sources. You will work closely with product teams, archivists, and developers, contributing to the preservation and accessibility of the UK’s documentary heritage, including initiatives like the Parliamentary Archives project.
- Design and develop ETL/ELT data pipelines.
- Automate data cleansing and validation processes.
- Develop and document schemas and data models.
- Integrate structured and semi-structured data sources.
- Collaborate with multi-disciplinary teams.
Key Skills/Competency
Data pipelines, Python, SQL, AWS, ETL, automation, scripting, data modelling, XML, JSON.
Application Process
Include a technical test during onsite interviews commencing the week of November 3rd. Ensure your CV details hands-on AWS experience, proficiency in Infrastructure as Code (Terraform), and effective communication skills.
Additional Information
An SC clearance is required and candidates must have been UK residents for at least three years. Sponsorship is not available for this role.
How to Get Hired at U.S. National Archives and Records Administration
🎯 Tips for Getting Hired
- Customize your resume: Tailor it to highlight relevant AWS, Python, and ETL skills.
- Research U.S. National Archives and Records Administration: Learn about their digital transformation efforts.
- Practice technical tests: Focus on data engineering challenges and coding.
- Prepare for behavioral interviews: Demonstrate clear communication and collaboration skills.