Data Engineer - Python

Data Intellect • New York, NY

2d • Hybrid

About The Position

At Data Intellect, we focus on using data and technology as tools to solve complex challenges through human intellect and collaboration. We are looking for a Data Engineer who will implement, configure, and evolve SaaS data products within client environments. This role involves owning the technical delivery of SaaS implementations, ensuring robust integration into client data platforms, workflows, and operating models. You will work on long-running client engagements, acting as a trusted technical partner, and will design and implement integration patterns, data pipelines, and solution architectures. The goal is to deliver high-quality, production-ready solutions that balance product constraints with client-specific requirements and best practice engineering standards. You will also provide technical leadership and mentoring to junior team members, contribute to our learning and development ecosystem, and identify improvements based on client exposure. The solutions produced should be clean, maintainable, and well-documented, aligned with product standards and client specifications. Continuous learning and capability building are encouraged through hands-on delivery, certification, and exposure to diverse clients and industries.

Requirements

• 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, 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 clients and industries

Benefits

• Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance.
• Healthcare cover – provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health
• Regular social events, prizes and giveaways – our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed