Senior Data Engineer - Talent Connection (Remote - Latam) at Jobgether

, , Argentina -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Cloud Platforms, ETL Processes, Databricks, Agile, Data Validation, Project Management, Stakeholder Communication, Healthcare Data, Data Quality Frameworks, Pipeline Automation, Advanced Analytics, Problem-Solving, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - Talent Connection in Latin America. This role offers a unique opportunity to leverage data engineering expertise to support impactful healthcare solutions. You will analyze and validate complex datasets, deploy new data sources, and work closely with both internal teams and external clients to drive meaningful improvements. Operating in a fully remote, collaborative environment, you will manage projects, ensure quality, and contribute to optimizing processes using cutting-edge cloud and data technologies. This position emphasizes autonomy, innovation, and proactive problem-solving while fostering collaboration across teams. Ideal candidates are experienced, detail-oriented, and comfortable working with large-scale data pipelines and advanced analytics in a fast-paced setting. Accountabilities As a Senior Data Engineer, you will: Perform analyses to support organizational and client improvement initiatives. Conduct data validation tests to ensure accuracy, quality, and compliance. Collaborate with clients, clinicians, and internal teams to enhance healthcare outcomes. Manage assigned projects, ensuring they are delivered efficiently, on time, and meet project requirements. Ensure all work aligns with organizational standards, principles, and best practices. Proactively identify opportunities to optimize data processes and workflows. The ideal candidate will have: Bachelor’s Degree in Computer Science, Engineering, or a related field. 7+ years of experience in Data Engineering. 5+ years of experience with SQL and Python. 2+ years of experience with Cloud platforms (AWS, Azure, or similar). 2+ years of experience with ETL processes and Databricks. 2+ years of experience working in Agile environments (Scrum, Kanban). Advanced English proficiency to communicate effectively with US-based clients. Nice-to-have: Experience with large-scale healthcare data or claims processing. Familiarity with data quality frameworks, monitoring, and pipeline automation. Strong project management and stakeholder communication skills. This role offers: Competitive USD salary. 100% remote work across Latin America with opportunities to connect at coworking spaces. Paid time off according to local regulations, including national holidays. Sick leave and wellness support to prioritize your health. Refundable annual credit for personal or professional perks. Team-building activities, tech talks, and virtual events to foster community. Support from People Care for onboarding, time-off requests, and career growth initiatives. 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! #LI-CL1

Responsibilities

As a Senior Data Engineer, you will analyze and validate complex datasets, deploy new data sources, and manage projects to ensure quality and efficiency. You will collaborate with internal teams and external clients to drive improvements in healthcare outcomes.