Jobgether
Data Engineer lll
Accountabilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data from multiple sources into data warehouse environments.
- Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability across datasets.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective data solutions.
- Contribute to the development and maintenance of data models, schemas, and documentation to ensure consistency and usability.
- Monitor pipeline performance, troubleshoot data issues, and ensure timely resolution of incidents affecting data flows.
- Support the evaluation and adoption of new data tools, technologies, and best practices within the data engineering ecosystem.
- Participate in code reviews, documentation efforts, and knowledge-sharing initiatives to improve team capabilities.
- Assist in data governance efforts, including policies, standards, and procedures to ensure responsible data usage.
- Support migration and optimization of legacy pipelines toward more scalable and efficient architectures.
- 3+ years of experience in data engineering or similar roles within data-intensive environments.
- Strong proficiency in Python or Java for data processing and pipeline development.
- Solid experience with SQL and relational database systems such as PostgreSQL, MySQL, or Oracle.
- Good understanding of data warehousing concepts, data modeling, and ETL/ELT methodologies.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Hands-on experience with ETL tools such as Apache Airflow or similar workflow orchestration tools.
- Familiarity with NoSQL databases such as MongoDB is a plus.
- Strong analytical and problem-solving skills with attention to data quality and validation.
- Experience using Git for version control and collaborative development workflows.
- Ability to work effectively in cross-functional teams across data, engineering, and analytics.
- Strong communication skills and ability to document and explain technical solutions clearly.
- 100% employer-covered health insurance with national and international coverage for LATAM employees.
- Monthly flexible benefits credits through a customizable benefits platform.
- Fully paid life insurance coverage with optional discounted beneficiary inclusion.
- Flexible work arrangements supporting work-life balance and remote-first collaboration.
- Professional development support and opportunities for continuous learning and growth.
- Generous paid time off, including holidays, personal time, and special leave days.
- Inclusive and diverse work environment focused on well-being, collaboration, and long-term growth.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Data Engineer