Senior Backend, Data Engineer

This is a fully remote position, open to applicants in Romania, +1 more country.

📋 Description

• Design and develop robust, scalable backend services and data pipelines.

• Promote engineering best practices regarding testing, code quality, performance, and security.

• Enhance system observability and engage in troubleshooting and resolving production challenges.

• Construct and oversee data ingestion services utilizing APIs and batch file processing.

• Revamp legacy workflows by substituting manual or spreadsheet-based processes with automated, resilient systems.

• Create internal dashboards and services that deliver real-time operational and business insights.

• Implement automation to minimize manual investigation and support self-service for internal stakeholders.

• Strengthen monitoring, alerting, and data quality assessments across backend pipelines.

• Collaborate with product, analytics, and operations teams to ensure technical solutions align with business objectives.

• Contribute to the technical direction and planning of the roadmap.

⛳️ Requirements

• Proficient in English, both written and oral (minimum B2-C1 level), with exceptional communication skills.

• Over 5 years of professional software development experience, showcasing expertise in backend development and data engineering.

• Solid background in backend engineering.

• Capability to deliver iterative and practical technical solutions.

• Ability to function in dynamic environments while upholding high engineering standards.

• Eagerness to take ownership, learn from setbacks, and continually enhance systems and processes.

• Strong communication skills, with the ability to work independently and spearhead technical initiatives across teams.

• Proficient in Python.

• Proficient in SQL.

• Experience with SQL databases such as PostgreSQL and/or MySQL, with a preference for PostgreSQL.

• Familiarity with Snowflake or similar data warehouse tools.

• Experience in deploying and managing applications on AWS.

• Experience with CDK, Docker, Kubernetes, or equivalent tools.

• Ability to design scalable, reliable, and high-performance distributed systems.

• Strong grasp of software architecture patterns, microservices, and API design (REST, GraphQL).

• Working knowledge of security fundamentals, including authentication, authorization, and secure service design.

• Experience with unit testing and integration testing.

• Familiarity with Apache Airflow or similar data pipeline/orchestration tools is a plus but not mandatory.

🏝️ Benefits

• Competitive salary rate.

• Flexible schedules and a genuine work-life balance.

• Opportunities for ongoing education.

• Birthday celebration.

• Compensation in US Dollars.

• Excellent work environment certified by Great Place To Work.