19 publicaciones de empleo destacadas de data software engineer en desde casa (¡Están contratando!)

Senior FullStack Software Engineer
N-iX —Desde casa
Postulación rápida
15h
Engineering Manager Sr - DF072IO
Coderio —Desde casa
- Por contrato
Postulación rápida
Technical Delivery Manager - AI-Native Transformation & Intelligent Engineering
EPAM Systems, Inc. —Desde casa
6d
Principal AI-Native Engineer, Ionic Partners
Ionic Partners —Desde casa
- Tiempo completo
Senior Manager, Security Architecture & Engineering
AspenView Technology Partners —Desde casa
- Por contrato
Postulación rápida
Senior AI Agent Engineer
Wizeline —Desde casa
Data Consultant
EPAM Systems, Inc. —Desde casa
Senior GenAI Engineering Lead - AI Delivery & Intelligent Systems
EPAM Systems, Inc. —Desde casa
6d
Senior AI Engineer - Agentic Systems
N-iX —Desde casa
Postulación rápida
5d
Senior Python Engineer
EPAM Systems, Inc. —Desde casa
Staff Product Engineer
Counterpart, Inc. —Desde casa
Head of AI Enablement & Transformation (Argentina)
Vulcury Venture Studio and Advisors —Desde casa
Postulación rápida
5d
Principal Software Engineer - Identity & Access Management
Sezzle —Desde casa
Lead Python Engineer
EPAM Systems, Inc. —Desde casa
Tech Lead
FeverUp —Desde casa
Postulación rápida
Senior BPM Engineer (Flowable)
EPAM Systems, Inc. —Desde casa
Senior/Lead DevSecOps Engineer (Azure, Terraform, Sentinel)
N-iX —Desde casa
Postulación rápida
Lead Data Engineer & Architect (Snowflake & GCP)
N-iX —Desde casa
Postulación rápida
4d
Senior Site Reliability Engineer
Teladoc Health —Desde casa
- Tiempo completo
3h

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Engineering Manager Sr - DF072IO
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Technical Foundation: 7+ years in software engineering with a proven track record of building scalable systems. Engineering Governance & Technical Authority.
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Build and lead a high-performing team of architects and engineers. Champion Application Security & Secure SDLC / DevSecOps across software development and…
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Senior FullStack Software Engineer

N-iX -
Desde casa

Postulación rápida

Detalles del empleo

Hace 15 horas

Descripción completa del empleo

We're hiring a full-stack engineer to own and advance our BI integrations and semantic model converters. This includes the Excel plugin, the Google Sheets add-on, and the Looker integration. You'll work at the seam between third-party BI ecosystems and the core query engine: translating query semantics across protocols (MDX, DAX, SQL), managing authentication and token flows, keeping result sets correct across tools with very different data models, and driving down the friction and defect rate that customers feel most directly.

The role also covers semantic model interoperability: building converters that translate other formats into SML, the platform's Semantic Modeling Language. It's a different shape of problem from the BI adapters, closer to mapping one semantic modelling language to another, and it's what lets a customer bring an existing model to the platform without rebuilding it.

This is a high-ownership role with a tight feedback loop to real customer escalations. You'll partner closely with product, QA, and customer-facing teams, and your work will show up in support queues and renewal conversations, so correctness and reliability are the job, not a nice-to-have.

What you'll do

Design, build, and maintain BI tool integrations across their full lifecycle, including features, performance, and defect resolution.

Build and maintain converters that translate external semantic model formats into SML.

Handle the hard cross-protocol problems: query translation between MDX/DAX/SQL.

Reproduce, triage, and fix customer-reported bugs against real semantic models, and turn recurring issues into durable fixes and better tests rather than one-off patches.

Build and expand automated test coverage (integration and end-to-end) so adapter regressions are caught before customers see them.

Track the moving targets (Microsoft Office add-in APIs, Google Workspace add-on platform, Looker/LookML changes) and adapt our integrations ahead of breaking changes.

Collaborate with product and support to prioritize the friction that matters most, and communicate clearly with customers when an issue is technical and externally visible.

What you bring

Strong software engineering fundamentals and experience building and shipping production software, ideally client integrations, plugins, or SDKs

Working knowledge of SQL and exposure to analytical query languages and semantics (MDX, DAX) and an intuition for how the same question maps differently across tools

Deep proficiency in JavaScript, TypeScript, and Python

Comfort with authentication and session mechanics: OAuth, tokens, and the failure modes that show up when they're mishandled

A debugging temperament: you can take a vague customer report and a live model and drive it to a root cause

Fluency with modern AI-assisted development tools, and good judgment about where they speed you up versus where they need a human in the loop

Expertise in testing methods such as unit, integration, and e2e, tools used for each (e.g. Jest), as well as approaches for mocking requests and responses for test automation

Nice to have

Experience with semantic layers, OLAP, or BI platforms (Power BI, Tableau, Cognos) and their driver/connector ecosystems

Familiarity with XMLA/Tabular endpoints or similar analytical serving protocols

Background supporting enterprise B2B customers where correctness and governance are non-negotiable

Familiarity with containers and infrastructure related to web apps such as Docker

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

not applicable for freelancers

Postulación rápida

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data software engineer empleos en desde casa

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Tech Lead

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Lead Data Engineer & Architect (Snowflake & GCP)

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