Remitly

Remitly

Senior Data Engineer

Arlington Virginia, United States · Senior

Sponsorship not specified$180k-$225kDetected 4 hours ago
PythonJavaGoScalaBackend DevelopmentCode ReviewSQLAWSCloud PlatformsCI/CDSparkData EngineeringData ScienceEHR/EMRCollaborationMentoring

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 37 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 95%

Of 19 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 485 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • the schemas and data marts that analysts and data scientists rely on

Responsibilities

  • 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
  • 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.
  • Own the data foundation: 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.
  • Partner with data scientists on feature definitions and validation.
  • Diagnose failures, manage safe backfills and recovery, and validate data against source records.
  • Raise the engineering bar: Set standards for data modeling, design and code review, CI/CD, access control, and sensitive data handling, including retention and deletion.
  • Work across the stack: Build and improve the backend services that power our products as the need arises, and work with platform teams to reuse and extend shared data infrastructure, tooling, and standards.
  • Mentor and grow the team: Guide engineers and analysts through design reviews, code reviews, and pairing. Represent Remitly's cultural values and technical competencies in interviews.

Requirements

  • A degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 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.
  • Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time.

Compensation

  • 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.

Company info

  • 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.
  • Own the data foundation:
  • 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.
  • Lead technical direction:
  • Define the architecture and roadmap for our data systems, anticipate where the business is headed, and choose designs that fit the problem and stay fast, reliable, and cost-efficient as we scale.
  • Build trust in our data:
  • Put data quality and monitoring in place across our marts and model features: testable freshness and reliability targets; completeness, consistency, and business-rule checks; automated tests for pipeline changes; and alerts with clear owners.

Equal opportunity

  • Remitly is an equal opportunity employer.

Visa & Work Authorization

  • ant, 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 t
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This listing is sourced directly from Remitly's careers page and normalized into a canonical job model.