Senior Data Engineer

Airwallex

. Design and implement robust, scalable data models supporting business intelligence, machine learning, and operational needs .

Posted 10/8/2026full-timeSeattle • Washington • United StatesSenior💰 $140,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing robust data models and ETL pipelines, ensuring data quality and governance while collaborating effectively with cross-functional teams. Proficient in SQL and familiar with cloud platforms like Google Cloud, focusing on scalable data solutions.

Highest-signal resume keywords

Data ModelingETL Pipeline DevelopmentSQL ProficiencyData GovernanceGoogle Cloud Platform Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETLSQLData SchemasData WorkflowsBatch ProcessingStreaming ETLData QualityData StewardshipMetadata Management

Soft Skills

Problem-SolvingAttention to DetailCommunicationCollaboration

Tools & Technologies

InformaticaTalendApache NiFiMySQLPostgreSQLOracleBigQueryAirflow

Industry Keywords

Data GovernanceData QualityData PrivacyData SecurityData Lifecycle Management

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformInformaticaMySQLOraclePostgresSQL

About the role

Key responsibilities & impact

Design and implement robust, scalable data models supporting business intelligence, machine learning, and operational needs
Select appropriate schema designs, including star schema, snowflake, normalized, and denormalized models
Partner with business teams to translate data needs into clean, structured, and well-documented models
Promote a single source of truth across data layers and pipelines
Build and maintain batch and streaming ETL pipelines from ingestion and transformation through delivery
Maintain data consistency, traceability, and quality across multiple data sources and domains
Contribute to data governance strategies, policies, and standards covering data quality, stewardship, metadata, master data, privacy, security, and lifecycle management
Work with Data Platform Engineers and Product Managers to identify root causes of data issues and deliver scalable solutions
Explore ways for data engineering and AI to work together across products and operations

Requirements

What you’ll need

Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field
Five or more years of experience designing and implementing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar data integration platforms
Strong experience with data modeling, data schemas, ETL, and end-to-end data workflows
Proficiency in SQL, database management systems such as MySQL, PostgreSQL, or Oracle, and data warehousing solutions
Familiarity with Google Cloud Platform, particularly BigQuery and Airflow
Excellent problem-solving skills, attention to detail, and commitment to producing high-quality work
Strong communication and collaboration skills, including the ability to work effectively with globally distributed teams
Strength in at least one core area of data engineering, particularly data modeling or ETL, with the ability to contribute across the broader data engineering discipline

Benefits

Comp & perks

Equity
Bonus
Medical insurance
Dental insurance
Vision insurance
401(k) plan
Short-term disability
Long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays
Collaborative open office space
Fully stocked kitchen
Regular team-building events
Freedom to be creative