Senior Backend Engineer, Data

Software Mind

full-time

Posted on: 1/30/2026

Location Type: Remote

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About the role

Help design, build, and operate scalable backend systems that support core business workflows and data-driven products.
Combine hands-on development with ownership of critical services, and collaboration across product, data, and operations teams.
Contribute to system architecture, code quality, reliability, and the continuous improvement of engineering practices.
Design and implement reliable, scalable backend services and data pipelines.
Drive sound engineering practices around testing, code quality, performance, and security.
Improve system observability and participate in diagnosing and resolving production issues.
Build and maintain data ingestion services using APIs and batch file processing.
Modernize legacy workflows by replacing manual or spreadsheet-driven processes with automated, resilient systems.
Develop internal dashboards and services that provide real-time operational and business visibility.
Create automation to reduce manual investigation and support self-service for internal stakeholders.
Improve monitoring, alerting, and data quality checks across backend pipelines.
Collaborate with product, analytics, and operations to align technical solutions with business needs.
Contribute to technical direction and roadmap planning.

+90% English written and oral (at least B2-C1 level) with excellent communication skills.
5+ years of professional software development experience with demonstrated proficiency in backend development and data engineering.
Strong backend engineering background, with the ability to deliver iterative and pragmatic technical solutions.
Comfortable operating in fast-moving environments while maintaining high engineering standards.
Willingness to take ownership, learn from failures, and continuously refine systems and processes.
Clear communication skills and ability to work independently and lead technical efforts across teams.
Technical Skills: Programming Languages: Proficiency in Python
Proficiency in SQL
Data Tools and Databases: Proficiency with SQL databases like PostgreSQL and/or MySQL (PostgreSQL is preferred)
Proficiency in Snowflake or a similar data warehouse tools
Cloud Platforms: Experience deploying and managing applications using AWS.
DevOps & CI/CD Tools: Experience with tools like CDK, Docker, Kubernetes, or similar.
Demonstrated ability to design scalable, reliable, and high-performance distributed systems.
Strong understanding 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.

Benefits

Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLPostgreSQLMySQLSnowflakeAWSCDKDockerKubernetesAPI design

Soft Skills

communicationownershipindependenceleadershipcollaborationproblem-solvingadaptabilitycontinuous improvementattention to detailpragmatism