This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Operations Engineer in United States .
As a Data Operations Engineer, you will play a critical role in ensuring accurate and timely data integration for large-scale healthcare solutions. You will be responsible for preparing, validating, and maintaining data pipelines that support enterprise clients across multiple platforms. Working closely with cross-functional teams, you will ensure data quality, troubleshoot discrepancies, and support smooth ETL processes. This role offers the opportunity to develop expertise in healthcare data standards, operational workflows, and automation tools while contributing directly to improving client outcomes. You will be part of a collaborative, fast-paced environment where attention to detail and process consistency are highly valued. This position is ideal for someone eager to grow their data operations skills in a mission-driven, high-impact setting.
Accountabilities :
Requirements
Benefits
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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Data Engineer Remote • US