Remedy Product Studio
Data Engineer
Remote Senior Data Engineer role with clear candidate location fit.
PostedJul 4, 2026
Eligible countries4 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
BrazilGeorgiaPolandSerbia
Role overview
Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
What you will do
- Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
- Optimize data storage, processing, and retrieval using cloud-based technologies, with a strong focus on AWS.
- Work with structured and unstructured data across various databases and data lakes.
- Ensure data integrity, security, and compliance with industry standards.
- Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives.
- Monitor and improve data infrastructure performance, ensuring reliability and scalability.
- Implement best practices for data governance, quality, and observability.
- Develop and maintain robust data injection processes to ensure seamless data flow across systems.
- Design and optimize data models to support analytical and operational use cases.
What should your qualifications be
- 5+ years of experience in data engineering or a related field.
- Strong expertise in AWS data services (e.g., Redshift, Glue, Athena, S3, Lambda, Kinesis, etc.).
- Experience with big data technologies such as Apache Spark, Apache Airflow, or similar tools.
- Strong knowledge of SQL and data modeling, schema design.
- Strong hands-on experience in Python
- Knowledge of CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation) is a plus.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
- Fluent English (B2) with both written and spoken skills used for clear and active communication with native speakers
- Experience with real-time data streaming and event-driven architectures.
- Exposure to machine learning workflows and MLOps practices.
- Knowledge of security and compliance standards in data engineering.
- Experience with GCP or Azure is a plus (BigQuery, Databricks, Azure Data Factory, etc.)
Benefits
- Compensation Package
- Vacation leave of 20 working days
- 4 sick days per year
- Personal Growth
- Career and professional growth
- Access to senior engineers for help and mentorship
- English classes with on-staff teachers
- English clubs where you can polish your skills together with teammates
- Other Perks
- Possibility for working remote or in coworking space
- Macbook provided by company as a working environment
- Work environment based on collaboration and teams
- Team building events on team and group level
- Sponsored company outings and social events
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