Data & Analytics Engineer (Remote - Latam) at Jobgether

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics, Visualization, SQL, ETL, Data Modeling, Data Warehousing, Python, R, Data Visualization, Educational Data Systems, REST APIs, GraphQL, Data Privacy, Monitoring Systems, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data & Analytics Engineer in Latin America. This role offers the opportunity to play a key part in transforming educational outcomes through data-driven insights. You will work with multiple data systems to build, maintain, and optimize pipelines and dashboards that help schools understand student engagement and performance. The position combines data engineering, analytics, and visualization responsibilities, with a focus on accuracy, scalability, and actionable insights. You will collaborate closely with cross-functional teams to ensure data integrity, monitor system performance, and support strategic decisions. Additionally, you will explore opportunities to integrate new data sources and develop technical frameworks that enhance reporting capabilities. Your contributions will directly support mission-driven educational initiatives and the success of students across diverse schools. Accountabilities: Develop and maintain data pipelines, ensuring integration between LMS, CRM, and data warehouse systems. Build, optimize, and validate dashboards to track student engagement, attendance, and assessment performance. Write and optimize SQL queries, create data models, and ensure accurate field mapping across data sources. Monitor automated data refreshes and implement alerting systems for data accuracy and completeness. Analyze current data architectures, design proof-of-concepts for new integrations, and support migration roadmaps. Translate complex educational data into clear, actionable insights for diverse audiences. Collaborate with cross-functional teams to ensure alignment, best practices, and timely delivery of analytics solutions. Advanced proficiency in SQL, including CTEs, window functions, and query optimization. Hands-on experience with ETL/ELT pipelines, data modeling (star/snowflake schemas), and data warehousing (Snowflake preferred). Experience with Python or R for data transformations, automation, and API integration. Proficiency in data visualization tools such as Tableau, Power BI, or Looker. Knowledge of educational data systems (LMS, SIS, assessment platforms) and experience integrating them via REST or GraphQL APIs. Strong understanding of FERPA, data privacy, and secure credential management. Ability to translate complex datasets into actionable metrics and communicate insights to non-technical stakeholders. Experience designing monitoring and alerting systems for data accuracy, freshness, and anomalies. Detail-oriented, proactive, and comfortable working in remote, cross-functional teams. Fully remote work opportunity within Latin America. Competitive compensation reflective of experience and skillset. Professional growth through exposure to complex data systems and mission-driven projects. Collaboration with cross-functional teams in a supportive, dynamic environment. Opportunity to contribute to meaningful impact in education through data insights. Flexible working arrangements and a culture that values autonomy and innovation. 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

Develop and maintain data pipelines, ensuring integration between various data systems. Build and optimize dashboards to track student engagement and performance metrics.