Airwallex

More roles at Airwallex

Senior Data Engineer (Seattle)

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · US - Seattle

Employer listed it 3 weeks ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

$140k to $240k per year

Location

Hybrid · US - Seattle

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: This role is based in San Francisco or Seattle, and you'll be expected to work from the office three days a week.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: We want you to share in our success, which is why you’ll be offered a competitive salary plus valuable equity within Airwallex.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around US - Seattle, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "US - Seattle, Hybrid"
Listing mentions "Hybrid" and three days a week in the office

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.

How you'll make impact

Our Strategic Data team builds the data foundations that support business intelligence, machine learning, and operational decision-making. You'll help create reliable, scalable data models and pipelines while improving how teams use data across the business.

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

Select appropriate schema designs—including star schema, snowflake, normalized, and denormalized models—based on the use case.

Partner with business teams to translate data needs into clean, structured, and well-documented models, while promoting a single source of truth across data layers and pipelines.

Build and maintain batch and streaming ETL pipelines across the full data workflow, from ingestion and transformation through delivery.

Maintain data consistency, traceability, and quality across multiple data sources and domains, including distributed or multi-datacenter environments where relevant.

Contribute to data governance strategies, policies, and standards across areas such as 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 efficient, scalable solutions.

Explore practical ways for data engineering and AI to work together across our products and operations.

This role is based in San Francisco or Seattle, and you'll be expected to work from the office three days a week.

What we're looking for

Essentials

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.

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Airwallex, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 19d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.