Financial Data Engineer - Python with Linux. Must be based in NY with right to work.

Data Intellect•New York, NY

5d•Onsite

About The Position

At Data Intellect, we are seeking a Financial Data Engineer with expertise in Python and Linux to join our team. This role involves implementing, configuring, and evolving SaaS data products within client environments, taking solutions from initial onboarding through to long-term adoption and optimization. You will own the technical delivery of SaaS implementations, ensuring robust integration into client data platforms, workflows, and operating models. This position offers the opportunity to work on long-running client engagements, developing a deep understanding of client needs and acting as a trusted technical partner. You will design and implement integration patterns, data pipelines, and solution architectures that enable SaaS products to scale effectively. The role requires delivering high-quality, production-ready solutions, balancing product constraints with client-specific requirements and best practice engineering standards. Collaboration with product, engineering, and client stakeholders is key to influencing roadmaps, enhancements, and implementation approaches. You will also provide technical leadership and mentoring to junior team members, contributing to our learning and development ecosystem by sharing implementation learnings, patterns, and reusable assets. Identifying and recommending improvements to product usage, configuration, or architecture based on real-world client exposure is also a part of this role. The goal is to produce clean, maintainable, and well-documented solutions aligned to product standards and client specifications, while continuously building your own capability through hands-on delivery, certification, and exposure to multiple clients and industries.

Requirements

MUST BE CURRENTLY BASED IN NEW YORK
MUST HAVE THE RIGHT TO WORK IN THE USA
MUST HAVE EXPERIENCE IN THE INVESTMENT BANKING DOMAIN
MUST HAVE MINIMUM 3 YEARS' COMMERCIAL EXPERIENCE IN PYTHON ENGINEERING
MUST HAVE LINUX EXPERIENCE
MUST HAVE EXPERIENCE WITH KUBERNETES, APACHE AIRFLOW, PANDAS AND POLARS
Minimum 3+ years Python experience in Data Science and Engineering
Experience with Kubernetes, Apache Airflow, Pandas, Polars
In-depth of knowledge across data science and engineering and software delivery
Development and delivery experience of data-driven applications and solutions
Capable of task estimation, proactive and autonomous
Solid knowledge of SDLC, agile and appropriate tooling
Breadth of L3 support experience
Excellent communication skills across peers, leadership and clients; both business and technical

Responsibilities

Implement, configure and evolve SaaS data products within client environments.
Own the technical delivery of SaaS implementations, ensuring products are robustly integrated into client data platforms, workflows and operating models.
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.
Provide technical leadership and mentoring to junior team members, including guidance on SaaS delivery patterns, integration approaches and good engineering practices.
Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across teams.
Identify and recommend improvements to product usage, configuration or architecture based on real-world client exposure.
Produce clean, maintainable and well-documented solutions aligned to product standards and client specifications.

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