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The role involves cleaning and structuring employee master data and historical leave records to resolve discrepancies. Additionally, the engineer will design and automate auditable workflows for ongoing leave management and data accuracy.
This is a remote position.
HR Data & Automation Engineer (Project Based)
Covers: Employee Master Data Management + AI Leave Vacation (Leave Tracker)
Company: TeamFicient
Location: Remote
Employment Type: Contract — Project-Based, Fixed-Scope
Rate: Proposed by candidate via RFQ (rate, timeline, and estimated hours)
Work Schedule:
Self-directed, solo execution of the full project scope
IT agent touchpoints and management check-ins only as needed to review progress
Timeline and hours are proposed by the candidate in their RFQ
Why Join Us?
At TeamFicient, our team spans multiple countries and regions, and we stay connected by operating within EST, CST, and PST time zones.
Work Without Borders: Collaborate daily with experts from worldwide and gain international exposure.
Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust.
Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength.
Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.
About the Role
TeamFicient is looking for an HR Data & Automation Engineer to clean up and structure our HR data (employee master data and historical leave records), resolve discrepancies across scattered sources, and build automated, auditable workflows for ongoing data accuracy and leave management. This is a solo, fixed-scope engagement: you own execution end to end, with IT touchpoints and management check-ins only as needed. You'll submit your own RFQ (proposed approach, timeline, hours, and cost) as part of the process.
Core Responsibilities
Data Structure & Cleanup
Review current employee/HR data sources and identify duplication, inconsistency, and gaps
Define a standardized employee master-data structure and required fields
Aggregate and reconcile historical leave records across multiple sources (Time Clock Wizard, spreadsheets, chat history) into a single verified master baseline
Workflow & Automation
Design and automate a future-state leave request/approval/balance-tracking workflow (Google Forms/Workspace or stronger proposed alternative)
Establish ownership, validation rules, role-based access permissions, and audit trails
Documentation
Document processes for ongoing maintenance and, where relevant, replication across additional country branches
Candidate Qualifications
Must-Haves
Strong data reconciliation/cleaning skills across messy, multi-source datasets
HRIS or employee-data management experience
Google Workspace automation experience (Forms, Sheets, notifications)
Ability to design access controls and audit trails for sensitive HR data
Good to Haves
Experience with HR system-to-system synchronization
Background scaling a workflow across multiple countries/branches
Application Requirements
To apply for this project, please be prepared to submit:
A portfolio of relevant, comparable work
An RFQ (Request for Quotation) covering:
What you propose to do
How you would do it
What's included (and what's excluded)
Estimated timeline and hours
Total cost, plus any additional/recurring costs
What you'll need from TeamFicient to execute
Risks, limitations, and assumptions
Willingness to sign an NDA and Project Agreement before receiving full project details and credentials
Willingness to undergo a background check
Work Location: Remote
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