Revisa oportunidades remotas de SQL y confirma ubicaciones aceptadas antes de aplicar.
Esta página reúne roles remotos con elegibilidad de ubicación visible para profesionales de desarrollo, datos, DevOps, QA, soporte y otras áreas de TI.
Usa SQL como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
Own the technical relationship with Partner SEs, Partner PMs, Partner alliance leadership, and Partner Sales at Snowflake, Databricks, BigQuery, The Trade Desk, and key SIs.
MongoDB · Solutions Consulting
Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Blanc Labs · Data Science
Design, build, and maintain scalable data pipelines using Databricks and Apache Spark
Capgemini Technology Services · Data Science
A solid and innovative company with a strong market presence
ioet · Data Science
Design and implement scalable ETL processes
Pearl Talent · Data Science
3+ years working with production PostgreSQL databases
AgilityFeat · Data Science
Design and maintain ETL/ELT pipelines for large-scale data processing.
AspenView Technology Partners, Inc. · Developer
Bachelor’s degree in information systems, Computer Science, or related field
Imagemaker · Data Science
Diseñar, desarrollar y mantener canalizaciones de datos (ETL/ELT) utilizando Python y SQL, bajo la Arquitectura Medallion, asegurando la transformación, limpieza y estructuración de los datos en Google Cloud Platform (GCP).
Partner One Capital · Data Science
Design and build ETL pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)
NTT DATA · Data Science
Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.
Architect, implement, and maintain Azure cloud infrastructure using Infrastructure‑as‑Code (Terraform, Bicep, or ARM).
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
8allocate · Data Science
Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.
Blend360 · Data Science
Develop and implement Snowflake-based governance solutions that ensure data quality, security, and compliance across enterprise platforms.
Malvern Panalytical · Data Science
Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.
GenLogs Corporation · Developer
Build core product experiences including ReactJS portals, Flask-based APIs, and batch interfaces used across all GenLogs applications.
Xideral · Data Science
Desarrollar, mantener y optimizar pipelines ETL/ELT.
Lemon.io · Development
The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.
Valtech · Data Science
A curious problem solver who challenges the status quo
Tergar International · Data Science
Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.
Coderio
Experience:8+ years of professional software engineering experience in enterprise-grade full-stack environments. Language:Full verbal and written fluency in English.
Factored
Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.
Teravision Technologies · Data Science
Fully remote position.
Correlation One
Develop long-term technical vision for the team
Trilon Group · Data Science
Serve as the primary owner and technical steward of the Trilon enterprise data platform
3Pillar Global · Data Science
Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.
TheHiveCareers
Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Mutt Data
Partner with cross-functional teams to define BI and analyticsrequirements
CenterWell Senior Primary Care
Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.
TheHiveCareers
Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.
Compass Group USA
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
TheHiveCareers · Data Science
and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security
Goodway Group
Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies.
CI&T · Developer
Business Translation & Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs;
Ryz Labs · Data Science
Design, implement, and optimize data pipelines that extract, transform, and load data into Snowflake from multiple sources using Airflow and AWS services
CI&T · Data Science
Business Translation & Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs;
3Pillar Global
Understanding the business requirements
Massive Rocket
Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation
Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics
Strong hands-on experience with Azure Data Factory.
Enroute · Data Science
We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge.
Tractian · Data Science
Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data
Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion
Act as a technical advisor for the integration between Databricks and data privacy/governance tools.
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
Frame ambiguous business problems as well-posed modeling, inference, or optimization tasks, and choose methods that fit the data and the decision.
Lingaro
At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
Robots & Pencils · Data Science
Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
Metova · Data Science
Participate in cross-functional meetings to define project objectives and scope.
Power Digital Marketing
Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products
End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
Mutt Data · Data Science
Partner with cross-functional teams to define BI and analyticsrequirements
Mutt Data · Data Science
Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.
Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Remedy Product Studio · Data Science
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
Mutt Data · Data Science
Lead and mentor the team, fostering skill development and best practices.
Xideral
Ingles avanzado C1.
Software Mind · Developer
Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources
Workstate
Develop and operationalize scalable and reliable data pipelines.
MediaRadar
Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.
Zencore
4+ years working as a Data Engineer in modern cloud environments.
Ensemble Health Partners
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Concentrix
Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems
New Flyer
Work with various ERP and IOT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support
Shipwell
Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level
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