Senior Software Engineer - Data
New York, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering › Core Platform — team source
Department: Engineering › Core Platform
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require, or will you require in the future, work authorization sponsorship from Elliptic in region to which you are applying?
From the employer’s application form
What you’ll work on
Full postingWrite, ship, and maintain production code as a hands-on senior engineer
Drive technical decisions and help shape the data engineering roadmap
From the employer’s posting
What you’ll do Write, ship, and maintain production code as a hands-on senior engineer Architect large-scale distributed data pipelines across batch and streaming
Architect large-scale distributed data pipelines across batch and streaming Drive technical decisions and help shape the data engineering roadmap Raise the bar through peer review and mentoring, and improve platform reliability, observability and cost efficiency
Tools in this posting
- Java
- Python
- Scala
- AWS
- Azure
- Databricks
- Docker
- GCP
- Kubernetes
- Spark
- Terraform
Source — Tool mentions in context
What you’ll bring - Hands-on production experience in Scala or another modern language (Python, Java), ideally with a functional programming approach - Experience building and running distributed data systems in the cloud (AWS, GCP or Azure), using Spark or Databricks
- Hands-on production experience in Scala or another modern language (Python, Java), ideally with a functional programming approach - Experience building and running distributed data systems in the cloud (AWS, GCP or Azure), using Spark or Databricks - Solid grounding in data modelling and workflow orchestration
- Fluency with AI tools as part of your daily workflow, you use them to move faster and think better, and you know when not to trust them Bonus points for stream processing and event-driven architecture, Infrastructure as Code (Terraform, CloudFormation), Docker and Kubernetes, or an interest in crypto and blockchain. What you’ll do
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 2026 · 41 days ago
- Recorded sightings
- 39
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Elliptic has been tracking down crypto crime since 2013, trusted by banks, businesses, and governments worldwide to keep the financial system safe. Today, our compliance tools cover the large majority of global crypto exchange volume, and a $120m Series D is fueling the next stage of that work.
Elliptic is building an AI fluent workforce. Across our Product, Engineering, Design and Intelligence we’re going beyond giving everyone the tools. We’re setting new standards. Using AI to transform how we build and work every day to deliver on our market opportunity. Put another way our teams iterate alongside agentic systems applying judgement to build world class systems.
This role is an Adoptive AI fluency role. That means AI has already changed how you work, not just how fast, and you enjoy using AI and agentic systems to operate more effectively.
You’ll personally design and build the data systems behind every Elliptic product, turning raw blockchain activity into the intelligence that helps the world fight financial crime. Few engineering roles have impact this measurable, or this direct.
Our engineering culture is built on openness, autonomy and continuous improvement. We favour functional programming for clarity and reliability, and rely on peer review, data-driven decisions and open discussion, in a team that values curiosity, technical excellence and shared impact over hierarchy.
What you’ll bring
Hands-on production experience in Scala or another modern language (Python, Java), ideally with a functional programming approach
Experience building and running distributed data systems in the cloud (AWS, GCP or Azure), using Spark or Databricks
Solid grounding in data modelling and workflow orchestration
The judgement to balance scalability, performance and maintainability
Fluency with AI tools as part of your daily workflow, you use them to move faster and think better, and you know when not to trust them
Bonus points for stream processing and event-driven architecture, Infrastructure as Code (Terraform, CloudFormation), Docker and Kubernetes, or an interest in crypto and blockchain.
What you’ll do
Write, ship, and maintain production code as a hands-on senior engineer
Architect large-scale distributed data pipelines across batch and streaming
Drive technical decisions and help shape the data engineering roadmap
Raise the bar through peer review and mentoring, and improve platform reliability, observability and cost efficiency
What we offer you
Hybrid working: work from almost anywhere for up to 90 days a year
Home office budget: $650 to set up your space
Learning & development: $1,000 a year for anything, agreed with your manager, that supports your growth
Leave: 25 days of annual leave plus US public holidays, and an extra day off for your birthday
Parental leave: 16 weeks fully paid for eligible employees, regardless of gender or whether you become a parent by birth or adoption
Healthcare: comprehensive medical, dental and vision cover through a range of providers (including Tufts, Kaiser, Aetna, UHC and Blue Shield of CA), with generous premium contributions for you and your dependents
401k: company match included
Mental health: full access to Spill
We hire for trajectory as much as track record. If this sounds like you, apply even if you don’t tick every box, we’d genuinely rather meet you than miss you.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, United States
What we offer you - Hybrid working: work from almost anywhere for up to 90 days a year - Home office budget: $650 to set up your space
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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