Senior Platform Engineer - Data engineer focus

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Design, build, and maintain APIs, queue systems, and other backend services to support a range of application needs.

Develop scalable, reliable, and maintainable software solutions that integrate with existing systems.

Collaborate with product and engineering teams to implement solutions that meet both functional and performance requirements.

Build and manage ETL pipelines using tools such as Matillion and AWS Redshift to handle data ingestion, transformation, and integration.

Develop and optimize data models, ensuring efficient querying and storage for analytics and reporting.

Monitor and troubleshoot data workflows to ensure accuracy, consistency, and reliability.

Implement observability practices, including monitoring, logging, and tracing, to ensure platform and data pipeline health.

Automate deployment and operational workflows to improve efficiency and reduce manual intervention.

Partner with data scientists, analysts, and software developers to align platform capabilities with organizational goals.

Ensure smooth integration between software systems and data pipelines to support both operational and analytical use cases.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

5+ years of combined experience in software engineering, platform engineering, or data engineering roles.

Proven experience building and maintaining APIs, backend services, and data pipelines at scale.

Strong programming skills in Python for developing scalable and maintainable systems.

Deep experience working with AWS.

Proficiency with ETL tools and data warehouses such as Matillion and AWS Redshift.

Knowledge of observability tools like Datadog, Sentry, or similar for monitoring application workflows.

Excellent communication skills, with the ability to work effectively across cross-functional teams and articulate technical concepts to diverse audiences.

Strong problem-solving skills, capable of addressing complex challenges in both software and data engineering domains.

Ability to adapt to changing priorities in a fast-paced environment.

Design, build, and maintain APIs, queue systems, and other backend services to support a range of application needs.

Develop scalable, reliable, and maintainable software solutions that integrate with existing systems.

Collaborate with product and engineering teams to implement solutions that meet both functional and performance requirements.

Build and manage ETL pipelines using tools such as Matillion and AWS Redshift to handle data ingestion, transformation, and integration.

Develop and optimize data models, ensuring efficient querying and storage for analytics and reporting.

Monitor and troubleshoot data workflows to ensure accuracy, consistency, and reliability.

Implement observability practices, including monitoring, logging, and tracing, to ensure platform and data pipeline health.

Automate deployment and operational workflows to improve efficiency and reduce manual intervention.

Partner with data scientists, analysts, and software developers to align platform capabilities with organizational goals.

Ensure smooth integration between software systems and data pipelines to support both operational and analytical use cases.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

5+ years of combined experience in software engineering, platform engineering, or data engineering roles.

Proven experience building and maintaining APIs, backend services, and data pipelines at scale.

Strong programming skills in Python for developing scalable and maintainable systems.

Deep experience working with AWS.

Proficiency with ETL tools and data warehouses such as Matillion and AWS Redshift.

Knowledge of observability tools like Datadog, Sentry, or similar for monitoring application workflows.

Excellent communication skills, with the ability to work effectively across cross-functional teams and articulate technical concepts to diverse audiences.

Strong problem-solving skills, capable of addressing complex challenges in both software and data engineering domains.

Ability to adapt to changing priorities in a fast-paced environment.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.