Athos Commerce
Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJul 6, 2026
Eligible countries60 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Role overview
Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
- Detail-oriented with a strong focus on data quality and performance • Comfortable working in fast-paced, agile environments
- Strong communicator who can work cross-functionally with technical and non technical stakeholders
- Curious and proactive with a continuous learning mindset
- Ownership-driven and accountable for end-to-end delivery
- Design, build, and maintain scalable ETL/ELT pipelines using Python for batch and streaming workloads
- Develop and manage production-grade data services exposed through REST and/or gRPC APIs
- Design and optimize data models across OLTP and OLAP systems
- Implement and maintain Change Data Capture (CDC) and time-travel-enabled data architectures
- Manage and optimize cloud-based data infrastructure across Azure, AWS, or GCP environments
- Own CI/CD workflows for data pipelines, including automated testing and deployments
- Write unit and integration tests to ensure data quality, pipeline stability, and reliability
- Collaborate with Product Managers and Tech Leads to scope, estimate, and deliver engineering work
- Participate in code reviews and contribute to engineering best practices and documentation
- Monitor and improve system observability, performance, and operational efficiency
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 2+ years of experience in Python and modern data engineering practices
- Strong experience building production ETL/ELT pipelines for batch and streaming systems
- Hands-on experience with DataFrame-based processing tools such as pandas, Polars, or Arrow
- Understanding of OLTP vs OLAP systems and modern data modeling principles
- Experience with CDC frameworks and time-travel-enabled data systems such as Delta Lake or Apache Iceberg
- Experience building and managing REST and/or gRPC APIs
- Familiarity with CI/CD tools such as GitHub Actions, AWS CodePipeline, or similar • Experience working with cloud platforms such as Azure, AWS, or GCP • Knowledge of Git, Agile methodologies, and collaborative engineering workflows
- Experience with tools such as Apache Airflow, dbt, Kafka, Databricks, or equivalent is a plus
- 24 PTOs in a calendar year
- Company-paid Health Insurance
- Company-paid Short Term and Long Term Disability coverage
- Company-paid Accidental Insurance
- Company-paid Learning & Development (L&D) programmes
- Flexible work environment – work from home, office, or hybrid
- Collaborative and innovation-driven work culture
- Opportunity to work on cutting-edge AI-powered ecommerce technology
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