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Achieve · 1 day ago

Sr. Staff Data Engineer

Tempe, AZ

Full-time

Hybrid

Senior Level, Lead/Staff

$175K/yr - $225K/yr

10+ years exp

Achieve is a leading digital personal finance company, helping everyday people move from struggling to thriving with innovative financial solutions. As a Sr. Staff Data Engineer, you will lead product requirements and advanced analytics efforts, build scalable technology platforms, and engage in developing a large-scale data infrastructure that supports Achieve's businesses and products.

Financial Services

No H1B

Responsibilities

Lead product requirements and advanced analytics requirements gathering efforts, interfacing with Data Engineering, Data Scientists, Analytics, and stakeholder teams

Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure

Use technology to solve business problems and drive positive outcomes

Build a scalable technology platform to support a growing business

Deliver high-quality code to production, consistently

Integrate with various third-party systems

Engage in building out a large scale distributed and event based Data Platform that serves as an underpinning for all of Achieve’s businesses and products

Qualification

Large scale distributed systemsAPI developmentData pipelinesPythonSQLMicroservicesEvent-driven architectureCloud infrastructureDesign skillsMature engineering practicesTeam collaborationProblem-solving

Required

10+ years' experience building large scale, real-time distributed systems with solid coding, problem-solving, and design skills

Experience building API's and micro services

Experience working in highly collaborative teams

Ability to demonstrate a team-first attitude towards software development

Hands-on Experience with Python and SQL

Experience working with various data stores: SQL, NoSQL, and/or key-value store

Experience building large scale data pipelines, build data models, normalize and standardize data for the use by various consumers and analysts

Ability to work in mature engineering practices (CI/CD, testing, secure coding, etc.)

Preferred

Nice to have: Java/Scala

Preferred experience or desire to learn: Event-driven architecture and messaging frameworks (Pub/Sub, Kafka, and/or RabbitMQ) and Cloud infrastructure (Google Cloud Platform, AWS, and/or Azure)