Senior Data Engineer (GCP & Data Integration)

About You

You are a hands-on Senior Data Engineer who enjoys building reliable scalable data pipelines and integrations across cloud environments. You are comfortable working across different layers of the data ecosystem from API integrations and transformation logic to cloud-based pipelines and warehouse validation and you bring the technical depth needed to troubleshoot issues across the full data flow.

You are comfortable joining established environments understanding existing architecture and coding patterns and becoming productive without requiring extensive guidance. You take ownership of your work communicate clearly in distributed teams and bring a thoughtful detail-oriented approach to data reliability integration challenges and production engineering.

You Bring to Applaudo the Following Competencies:

• Bachelors Degree in Computer Science Software Engineering Data Engineering Information Systems or a related field is desired or equivalent professional experience.
• 6 years of professional experience in Data Engineering ETL Data Integration or a closely related field.
• Strong hands-on experience with TypeScript/ in production ETL or data integration environments.
• Strong Python experience developing production data pipelines using Dataflow Airflow or Cloud Composer.
• Hands-on experience with GCP data services including BigQuery Cloud Storage Dataflow and Pub/Sub.
• Proven experience building and maintaining REST API integrations including OAuth 2.0 authentication pagination error handling and retry logic.
• Advanced SQL skills including complex queries across warehouse schemas for data validation reconciliation and analysis.
• Experience working with data transformation logic and production data pipelines.
• Ability to understand and work within an existing architecture following established coding patterns conventions and CI/CD workflows.
• Strong troubleshooting and problem-solving skills across data pipelines integrations and cloud environments.
• Strong written communication skills and the ability to provide clear updates in an async-first distributed environment.
• Self-directed approach to onboarding with the ability to become productive within an existing codebase with minimal guidance.
• Working English proficiency for collaboration with US-based stakeholders and distributed teams.

Nice to Have:

• Professional experience working with the Zuora REST API.
• Experience with ZOQL or Zuoras billing data model including subscriptions invoices and payments.
• Experience with dbt or similar data transformation frameworks.
• GCP Professional Data Engineer certification.

You Will Be Accountable for the Following Responsibilities:

• Build maintain and enhance production ETL pipelines connecting REST APIs with GCP-based data warehouse environments.
• Develop and maintain data integration components using TypeScript/ and Python within an existing pipeline architecture.
• Develop data pipelines using GCP services such as BigQuery Cloud Storage Dataflow and Pub/Sub.
• Implement transformation logic for billing events subscription lifecycle data revenue data and other data flowing into the GCP data warehouse.
• Develop and maintain REST API integrations including authentication pagination error handling retries and reliable data extraction.
• Support pipeline monitoring and reliability through alerting logging error handling retry mechanisms and data quality checks.
• Write complex SQL queries to support source-to-warehouse data validation reconciliation and parity checks.
• Collaborate with architecture stakeholders on warehouse-level validation requirements and translate them into SQL checks and reconciliation logic.
• Investigate and resolve data pipeline integration transformation and data quality issues.
• Follow established coding standards architecture patterns CI/CD workflows and development practices within the existing codebase.
• Collaborate with Data Engineering leadership for technical direction while maintaining ownership of assigned development work.
• Provide clear written status updates surface blockers early and communicate progress effectively within an async-first distributed team.
• Contribute to Agile/Kanban workflows while remaining focused on hands-on engineering execution.

Qualifications :

• 6 years of Data Engineering ETL or Data Integration experience.
• Strong production experience with TypeScript/ and Python.
• Hands-on experience building data pipelines with GCP.
• REST API integration and advanced SQL experience.
• Experience working with production data pipelines and existing architectures.
• English proficiency.

Additional Information :

About Us

We Are Engineered Different.

At Applaudo talented people design build and scale meaningful AI-powered solutions that create real business impact. As an AI-native organization we collaborate across design development cloud data and artificial intelligence to turn ideas into scalable products that transform how companies operate make decisions and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence Collaborative Teamwork Unsolicited Respect Consistent Transparency and Efficient Communication. These define how we work how we support one another and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast take ownership and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally investing in modern ways of working and leading AI-native transformation at scale.

Remote Work :

Yes

Employment Type :

Full-time