Data Engineer – UniData, UniVerse

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RemoteStar

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

RemoteStar is a global recruitment service that specializes in hiring top-quality tech talent. By assembling diverse teams with vetted developers from various regions, RemoteStar ensures high-quality staffing while maximizing cost efficiency for companies. The service includes a rigorous vetting process, technical matching, and full onboarding support, allowing businesses to focus on their core operations while RemoteStar handles the administrative aspects of recruitment and team management.

📋 Description

• Design, develop, maintain, and optimize applications and data processes using UniData / Universe • Work with business and functional teams to translate direct-selling compensation-plan requirements into technical solutions • Develop and maintain sales, order-based, rank-based, bonus, incentive, volume, override, residual, adjustment, reversal, clawback, and period-end commission-processing logic • Work with distributor/member hierarchies, genealogy structures, sponsor relationships, and organizational trees • Develop and optimize UniQuery, UniBasic, dictionaries, stored procedures, and batch processes • Perform data extraction, transformation, validation, reconciliation, and loading across operational and reporting systems • Troubleshoot commission-processing issues and investigate source-transaction versus calculated-payout discrepancies • Support month-end and pay-period commission runs • Develop reconciliation and audit processes for commission calculations and financial outputs • Analyze and improve performance of large UniData / Universe files and batch processes • Integrate UniData / Universe data with external applications, databases, APIs, reporting platforms, and downstream systems • Participate in production support, root-cause analysis, incident resolution, and performance tuning • Maintain technical documentation for data structures, compensation rules, interfaces, and processing workflows • Collaborate with QA teams on test scenarios for complex compensation-plan rules and edge cases

🎯 Requirements

• 8+ years of experience in UniData / Universe development and data engineering • Hands-on experience with UniBasic / UniQuery and UniData or Universe databases • Proven experience in the direct-selling, MLM, network-marketing, or distributor-based business domain • Strong experience working with commission-processing, compensation, incentive, or payout systems • Understanding of distributor hierarchies, sales volume, qualifications, ranks, bonuses, and compensation plans • Strong SQL and relational database skills • Experience with data integration, ETL/ELT, batch processing, and data reconciliation • Strong analytical and problem-solving skills • Experience supporting production systems and resolving data/commission discrepancies • Ability to understand complex business rules and convert them into reliable technical solutions • Preferred: Experience with Rocket U2 / Rocket UniData / Universe environments • Preferred: Experience migrating or integrating UniData / Universe with modern cloud or relational data platforms • Preferred: Experience with APIs, web services, or middleware integrations • Preferred: Experience with Python, scripting, or other modern data-engineering technologies • Preferred: Experience with reporting and BI platforms • Preferred: Knowledge of financial reconciliation, audit controls, and payout processing • Preferred: Experience working in Agile/Scrum environments

🏖️ Benefits

• Remote work • Full-time employment