Data Intellect

Financial Services

DataEngineer-Python

$135–175k ~AI est. New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Engineer - Python at Data Intellect. Skills: Data Engineering, SaaS Implementation. Implement SaaS data products. Configure SaaS data products”

Industry & Context.

Financial Services
Problems you'll solve

Problem solvers

What They're Looking For.

Must Have

3+ years Python experience, Python experience in Data Science, Python experience in Data Engineering, Development experience of data-driven applications, Delivery experience of data-driven applications, Capable of task estimation, Solid knowledge of SDLC, Solid knowledge of agile, Solid knowledge of appropriate tooling, Breadth of L3 support experience

Nice to Have

Kubernetes experience, Apache Airflow experience, Pandas experience, Polars experience

What You'll Do.

Implement SaaS data products

Configure SaaS data products

Evolve SaaS data products

Own technical delivery

Integrate products into client platforms

Integrate products into client workflows

Integrate products into client operating models

Develop understanding of client needs

Design integration patterns

Implement integration patterns

Design data pipelines

Implement data pipelines

Design solution architectures

Implement solution architectures

Deliver production-ready solutions

Provide technical leadership

Mentor junior team members

Share implementation learnings

Share implementation patterns

Share reusable assets

Identify improvements to product usage

Recommend improvements to product usage

Identify improvements to product configuration

Recommend improvements to product configuration

Identify improvements to product architecture

Recommend improvements to product architecture

Produce maintainable solutions

Produce documented solutions

How You'll Work.

Team & Collaboration

Client stakeholders; Product stakeholders; Engineering stakeholders

Communication Scope

Technical partner

Process & Methodology

Agile, Task estimation

Full Job Description

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: We are Problem Solvers who are Humble , possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO What you’ll be doing: * 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 * 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 * Continue to build your own capability through hands‑on delivery, certification and exposure to multiple

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