Dataintellect
Financial Data Engineer - Python with Linux. Must be based in NY with right to work.
New York, NY, United States
Sponsorship not specifiedDetected 22 days ago
PythonKubernetesLinuxPandasAirflowData EngineeringData ScienceLeadershipCommunicationCollaborationMentoring
About the role
- At Data Intellect it has never been just about data or technology, they are our tools. It's about human intellect, collaboration and providing solutions for the most complex of challenges.
- We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness.
Responsibilities
- Implement, configure and evolve SaaS data products within client environments, taking solutions from initial onboarding through to long‑term adoption and optimisation
- Own the technical delivery of SaaS implementations, ensuring products are robustly integrated into client data platforms, workflows and operating models
- Work on long‑running client engagements, developing a deep understanding of client needs and acting as a trusted technical partner over time
- Design and implement integration patterns, data pipelines and solution architectures that enable SaaS products to scale effectively for each client
- Deliver high‑quality, production‑ready solutions, balancing product constraints with client‑specific requirements and best practice engineering standards
- Collaborate closely with product, engineering and client stakeholders to influence roadmaps, enhancements and implementation approaches
- Continue to build your own capability through hands‑on delivery, certification and exposure to multiple clients and industries
Requirements
- MINIMUM 3 YEARS' COMMERCIAL EXPERIENCE IN PYTHON ENGINEERING
- Minimum 3+ years Python experience in Data Science and Engineering
- Experience with Kubernetes, Apache Airflow, Pandas, Polars
- Development and delivery experience of data-driven applications and solutions
- Solid knowledge of SDLC, agile and appropriate tooling
- Our key area of expertise is financial and capital markets technology solutions.
Skills
- At Data Intellect it has never been just about data or technology, they are our tools.
- It's about human intellect, collaboration and providing solutions for the most complex of challenges.
- We do this by living the [DI] code:
Benefits
- Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across teams
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