Pay
Higher than most similar jobs
$180K–$225K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Arlington Virginia, United States
Live, first seen by us 21 days agoBonus: Experience with financial data in fintech, lending, or payments, where accuracy, security, and compliance shape engineering decisions. Compensation Details. The starting base salary range for this position is typically $180,000-$225,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role. Our Benefits:Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, build, and operate pipelines, schemas, and data marts for the Global Card
Build feature pipelines that supply credit and fraud models
Put data quality checks, monitoring, and alerts in place across marts
Turn business needs into reusable schemas, data contracts, and documentation
Set standards for data modeling, code review, CI/CD, and sensitive data handling
Design, build, and operate the schemas, pipelines, and data marts behind Remitly Global Card across card, credit, and payments
including the feature pipelines that supply our credit and fraud models
Put data quality and monitoring in place across our marts and model features
Turn business needs into data products
Set standards for data modeling, design and code review, CI/CD, access control, and sensitive data handling
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Higher than most similar jobs
$180K–$225K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 21
Similar jobs usually come down between day 6 and day 54.
From 10,824 similar postings that came down. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience building and operating large-scale data pipelines, including orchestration, incremental batch loads, and streaming, using distributed processing or query engines (e.g., Spark, Trino, EMR) on cloud infrastructure (e.g., AWS), with data quality checks, testing, and monitoring built in. - Proficiency in at least one programming language used for data and backend work (e.g., Python, Scala, Java, Go), and experience building and operating backend services. - Experience leading projects at the team level, including setting technical direction, breaking work into parallel workstreams, estimating timelines, and mentoring other engineers.
- A degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Expert SQL and strong data modeling skills, including dimensional modeling, schema evolution, and designing tables that analysts and data scientists can use at scale. - Experience building and operating large-scale data pipelines, including orchestration, incremental batch loads, and streaming, using distributed processing or query engines (e.g., Spark, Trino, EMR) on cloud infrastructure (e.g., AWS), with data quality checks, testing, and monitoring built in.
- Expert SQL and strong data modeling skills, including dimensional modeling, schema evolution, and designing tables that analysts and data scientists can use at scale. - Experience building and operating large-scale data pipelines, including orchestration, incremental batch loads, and streaming, using distributed processing or query engines (e.g., Spark, Trino, EMR) on cloud infrastructure (e.g., AWS), with data quality checks, testing, and monitoring built in. - Proficiency in at least one programming language used for data and backend work (e.g., Python, Scala, Java, Go), and experience building and operating backend services.
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Yes. We’ve followed one other Senior Data Engineer job there since October 2026. It came down after 0 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Description:
At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money — we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career — we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.About the Role:
Remitly is building the Remitly Global Card: a card, wallet, and built-in credit line that give customers a single, trusted place to hold, spend, borrow, and move their money, launching across multiple geographies. As a Senior Data Engineer on the Global Card team, you will own the engineering of the team's data foundation end to end: the pipelines that bring in card, credit, payments, and product data; the schemas and data marts that analysts and data scientists rely on; and the checks that keep that data accurate and on time. You will lead the technical direction for this space: partnering with product, analytics, and data science on what to build, anticipating problems early, and choosing right-sized designs that scale with the business. Our team works across the stack to get the job done, so you will also contribute to the backend services that power our products as the need arises. We move fast, use agentic coding tools every day, and hold a high bar for excellence. You will report to the Engineering Manager and work from our Arlington, VA office on a hybrid schedule.
You Will:
You Have:
Compensation Details. The starting base salary range for this position is typically $180,000-$225,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
Our Benefits:
Our Connected Work Culture: Driving Innovation, Together
At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.
Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.
At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Bonus: Experience with financial data in fintech, lending, or payments, where accuracy, security, and compliance shape engineering decisions. Compensation Details. The starting base salary range for this position is typically $180,000-$225,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role. Our Benefits:
Arlington Virginia, United States
This passage needs a closer read in the full description.
This passage needs a closer read in the full description.