[8NW] Senior Backend + Data Engineer

Software Mind Americas

1d•Remote

About The Position

Software Mind is seeking qualified candidates to fill the role of Senior Backend / Data Engineer. In addition to a competitive salary rate and a positive work environment, we are committed to delivering high-quality technology solutions. We are looking for a Senior Backend / Data Engineer to help design, build, and operate scalable backend systems that support core business workflows and data-driven products. This role combines hands-on development with ownership of critical services, and collaboration across product, data, and operations teams. You will contribute to system architecture, code quality, reliability, and the continuous improvement of engineering practices. In this role, you will work hands-on with programming languages like Python and SQL, cloud platforms like AWS, databases like PostgreSQL and MySQL, data warehouse tools like Snowflake, data pipeline/orchestration tools like Apache Airflow, CI/CD tools like Docker and Kubernetes, as well as RESTful APIs, GraphQL, Microservices Architecture, etc.

Requirements

+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.
Proficiency in Python
Proficiency in SQL
Proficiency with SQL databases like PostgreSQL and/or MySQL (PostgreSQL is preferred)
Proficiency in Snowflake or a similar data warehouse tools
Experience deploying and managing applications using AWS.
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.

Nice To Haves

Experience working with Apache Airflow or similar data pipeline/orchestration tools

Responsibilities

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.