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TeamFicient

HR Data & Automation Engineer (Project Based)

Posted Yesterday
Remote
Hiring Remotely in USA
Entry level
Remote
Hiring Remotely in USA
Entry level
Clean and reconcile employee master data and historical leave records from multiple sources. Define standardized HR data structures, establish validation and access controls, and automate leave request, approval, and balance tracking workflows using Google Workspace or a suitable alternative. Document maintenance processes and support potential expansion across international branches. The contractor will independently manage the fixed-scope project, propose an RFQ, and provide timeline, hours, costs, assumptions, and deliverables.
The summary above was generated by AI

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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