Elliptic is hiring a Senior Software Engineer - Data in Engineering — New York, United States. The overview below is synthesized from the employer posting on jobs.ashbyhq.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Do you want to help define the future of finance?
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?
The listing frames the Senior Software Engineer - Data at Elliptic as a hands-on product role. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.
Elliptic is building an AI fluent workforce. We invest in the tools, training and time for our teams to use AI well: every Elliptite has access to Claude, and we expect AI to be a normal part of how you work, not an occasional add on.
Across our Product, Engineering, Design and Intelligence we’re going beyond giving everyone the tools. We’re setting new standards.
What that looks like for this role is set out below.
The impact you will have
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products.
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.
What you will do
- Write, ship, and maintain production code as a hands-on engineer.
- Architect, design, and implement large-scale distributed data systems and pipelines.
- Contribute to technical decision-making across batch and streaming data solutions.
- Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.
- Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.
- Take shared ownership of data systems, from design to deployment and ongoing improvement and support.
- Perform thoughtful peer reviews that raise code quality and share best practices across the team.
- Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.
- Help shape the technical roadmap for data engineering across Elliptic.
- This role requires ‘Adoptive’ AI fluency. This means AI has already changed how you work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively.
Tech environment
Scala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional Programming
You will thrive here if you
- Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.
- Strive for engineering excellence and scalable, sustainable systems.
- Use data and experimentation to guide decisions.
- Communicate openly and collaborate across teams.
- Support and coach less-experienced engineers.
- Believe every challenge is an opportunity to simplify and innovate together.
- Enjoy working with AI to benefit the company, your team and yourself.
What we are looking for
- Hands-on production experience with Scala and functional programming.
- Ability to design, build, and maintain distributed data systems in a cloud-based environment.
- Hands-on experience with big data frameworks such as Spark or Databricks.
- Knowledge of cloud infrastructure (AWS, GCP, or Azure).
- Judgement to balance scalability, performance, and maintainability.
- Experience with data modelling and workflow orchestration.
Bonus points for
Additional experience noted as a plus:
- Experience in stream processing frameworks and event-driven architecture.
- Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).
- Experience working in containerised environments (Docker, Kubernetes).
- Interest in AI-driven tooling for engineering workflows.
- Interest in crypto and blockchain technologies.
How we work
How the team describes its culture:
- Hybrid working: The option to work from almost anywhere for up to 90 days per year.
- Remote Work Budget: $650 budget to set up your home office space.
Learning & Development:
- L&D Budget: $1,000 annual Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development.
Vacation / Leave:
- Holidays: 25 days of annual leave + US Public Holidays.
- Birthday Leave: An extra day off for your birthday.
- Enhanced Parental Leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.
Benefits
What the posting highlights about the offer:
- Healthcare: Comprehensive medical, dental, and vision coverage 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 mental health support.
We know Diversity and Inclusion is much deeper than just hiring, but it’s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us.
No recruitment agencies please!