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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing large-scale distributed data systems and pipelines, with hands-on experience in Scala and big data frameworks. Proficient in cloud infrastructure and data orchestration, with a strong focus on performance, scalability, and maintainability.
Highest-signal resume keywords
Scala ProgrammingDistributed Data Systems DesignBig Data Frameworks (Spark, Databricks)Cloud Infrastructure (AWS, GCP, Azure)Infrastructure as Code (Terraform, CloudFormation)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Scala ProgrammingDistributed Data Systems DesignBig Data Frameworks (Spark, Databricks)Data ModellingWorkflow OrchestrationStream Processing FrameworksEvent-Driven ArchitectureInfrastructure as Code (Terraform, CloudFormation)Containerization (Docker, Kubernetes)AI-Driven Tooling
Soft Skills
CollaborationMentoringTechnical Decision-MakingCode Quality ImprovementBest Practices Advocacy
Tools & Technologies
AWSGCPAzureTerraformCloudFormationDockerKubernetes
Industry Keywords
BlockchainCryptoFinancial Crime PreventionData EngineeringData Analytics
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesScalaSparkTerraform
About the role
Key responsibilities & impact- 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, such as data orchestration and cloud-native tools, to optimize performance and scalability
- Take shared ownership of data systems from design through deployment, ongoing improvement, and support
- Perform peer reviews to raise code quality and share best practices
- Contribute to platform-wide initiatives improving reliability, observability, and cost efficiency
- Help shape Elliptic’s technical roadmap for data engineering
- Mentor and upskill engineers and champion engineering best practices
- Build data engineering solutions powering Elliptic’s blockchain analytics and intelligence products
- Help deliver features that fight financial crime and increase transparency in the crypto space
Requirements
What you’ll need- 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
- Experience in stream processing frameworks and event-driven architecture is a bonus
- Hands-on experience with Infrastructure as Code (Terraform, CloudFormation) is a bonus
- Experience working in containerised environments (Docker, Kubernetes) is a bonus
- Interest in AI-driven tooling for engineering workflows is a bonus
- Interest in crypto and blockchain technologies is a bonus
- Ability to work with AI and agentic systems; ‘Adoptive’ AI fluency
Benefits
Comp & perks- Option to work from almost anywhere for up to 90 days per year
- $650 remote work budget for home office setup
- $1,000 annual Learning & Development budget
- 25 days of annual leave plus US Public Holidays
- Birthday leave
- 16 weeks fully-paid enhanced parental leave for eligible employees
- Comprehensive medical, dental, and vision coverage with generous premium contributions for employees and dependents
- 401(k) company match
- Full access to Spill mental health support
- Access to Claude
