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HomeCompaniesDataintellectData Engineer - Python

Data Engineer - Python

Dataintellect · New York, NY, United States · Active · SmartRecruiters

Job facts

FieldValue
CompanyDataintellect
TitleData Engineer - Python
Normalized title-
Department / teamData Analytics & Engineering
LocationNew York, NY, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-06-05 / 2026-06-06
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Dataintellect.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Data Analytics & Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDataintellect
Source4d11067d-9634-445b-bba9-c40f87bc8858
ATS providerSmartRecruiters

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 clients and industries Qualifications Experience and skills required: 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 What we offer: 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 A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

Full job record

Job IDd87b54ff9be05427bd92385f7fa6613f2cc62a09
Org ID5c73362f-8406-4ba2-b6e9-09dcbd3000fb
Source ID4d11067d-9634-445b-bba9-c40f87bc8858
Board ID4d11067d-9634-445b-bba9-c40f87bc8858
Providersmartrecruiters
Provider Job Key744000130390726
TitleData Engineer - Python
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY, United States
DepartmentData Analytics & Engineering
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary RawAt 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 clients and industries Qualifications Experience and skills required: 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 What we offer: 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 A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.smartrecruiters.com/DataIntellect/744000130390726-data-engineer-python
Apply URLhttps://jobs.smartrecruiters.com/DataIntellect/744000130390726-data-engineer-python?oga=true
First Seen At2026-06-06 10:38:17Z
Last Seen At2026-06-06 20:12:17Z
Last Checked At2026-06-06 20:12:17Z
Last Changed At2026-06-06 10:38:17Z
Inactive At
Source Posted At2026-06-05 08:29:28Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=dataintellect/date=2026-06-06/2026-06-06T20-12-15-332Z-4744b2520c8268a0e42011267ad70d68ce87986f480b973e9457e7db7a2c1146.json
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Extensions
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