Roles remotos de SQL con elegibilidad clara.

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.

• Lead
• AWS
• Azure
• Java
• +5

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role

• Lead
• AWS
• Azure
• Java
• +5

Work across the entire Linux stack, from kernel, networking, storage, to applications,

• AWS
• Azure
• GCP
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

Developing and maintaining processes for handling large volumes of data using state of the art tooling like BigQuery, Airflow and dbt.

• Senior
• GCP
• Python
• SQL

Develop innovative solutions for complex data challenges, using creativity and technology.

• Senior
• GCP
• Python
• SQL

3+ years working with production PostgreSQL databases

• Senior
• PostgreSQL
• Python
• SQL

Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.

• Senior
• AWS
• Azure
• CI/CD
• +6

Prototype ingestion and connector patterns (batch + streaming) using NiFi, Kafka, Kafka Connect/Streams, and CDC approaches.

• Middle
• Kubernetes
• Python
• SQL

Foundational Platform Experience: 4+ years of hands-on experience in data platform, infrastructure, SRE, or backend/DevOps engineering.

• Senior
• CI/CD
• Docker
• GCP
• +4

Design und Implementierung kompletter ETL/ELT-Pipelines – von der Ingestion bis zum konsumierbaren Datenprodukt

• Senior
• Azure
• Salesforce
• SQL

Cultivated a community of more than 650,000 active developers and builders

• Senior
• CI/CD
• Python
• SQL

Build and scale data pipelines for product events, usage data, and customer datasets.

• Middle
• PostgreSQL
• Python
• SQL

Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health

• Senior
• Python
• SQL

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +4

Enhancing high availability and elasticity so the system can scale automatically and efficiently as our customer base grows. It should make capacity decisions transparently and safely, without manual intervention.

• Middle
• AWS
• CI/CD
• GCP
• +4

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

En SDG Group somos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial.

• Senior
• AWS
• CI/CD
• Snowflake
• +1

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Middle
• Azure
• Python
• Spark
• +1

Design and optimize complex data storage solutions, including data warehouses and data lakes.

• Senior
• AWS
• Azure
• Python
• +2

Design, optimize, and maintain tables and data structures to support recommendation and trending content data.

• Senior
• AWS
• PostgreSQL
• Python
• +1

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.

• Senior
• LLM
• Python
• Salesforce
• +1

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +5

Q3 2026 - from September, 3-month notice period accepted

• Junior
• Python
• REST
• Snowflake
• +1

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

• Lead
• AI
• Android
• Flutter
• +12

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.

• Senior
• Python
• SQL

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Plan, implement, and maintain a robust data architecture.

• Senior
• JavaScript
• PHP
• Python
• +2

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Build scalable, high-performance data infrastructure that transforms complex transactional and financial data into trusted datasets for regulatory reporting and business operations.

• Senior
• AWS
• Python
• Snowflake
• +1

Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.

• Senior
• AWS
• CI/CD
• Golang
• +6

Lead and manage team of data engineers, across either core data products or finance assurance

• Lead
• AWS
• CI/CD
• Python
• +2

Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.

• Senior
• AWS
• Azure
• Docker
• +6

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.

• Senior
• AWS
• Azure
• Spark
• +1

Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.

• Senior
• AWS
• Azure
• GCP
• +2

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

• Senior
• AWS
• Azure
• CI/CD
• +4

Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.

• Middle
• Python
• SQL

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design, implement, test, and tune detections across endpoint, identity, cloud, SaaS, network, and application telemetry.

• Senior
• AWS
• Python
• SQL

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

7+ years in data engineering

• Senior
• Azure
• Python
• Spark
• +1

Design, build, and evolve Data Warehouses, Data Marts, and enterprise data models to support analytics and business decision-making

• Senior
• Python
• SQL

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

• Senior
• CI/CD
• Python
• SQL

Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.

• Senior
• Azure
• CI/CD
• Docker
• +3

Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.

• Senior
• AWS
• LLM
• Python
• +3

Frame ambiguous business problems as well-posed modeling, inference, or optimization tasks, and choose methods that fit the data and the decision.

• Senior
• CI/CD
• Python
• SQL

You have C++ experience, and you are already working with/contributing to ClickHouse, or

• Senior
• SQL

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.

• Senior
• CI/CD
• Python
• Spark
• +1

About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting- edge projects that leverage the latest technologies across various domains

• Senior
• Docker
• Java
• MongoDB
• +3

Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment

• Middle
• AWS
• PostgreSQL
• SQL

Take ownership of end-to-end data engineering projects.

• Senior
• AWS
• Docker
• Python
• +2

Supporting the migration from Pentaho to dbt by rewriting, modeling, and modernizing existing data transformations.

• Senior
• SQL

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions

• Senior
• AWS
• Azure
• CI/CD
• +4

Lead and grow a team of analytics engineers (currently 2, scaling to 4 this year), building a culture of craft, documentation, and user empathy

• Lead
• Python
• REST
• SQL

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.

• Middle
• AWS
• Azure
• GCP
• +2

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design and optimize complex data storage solutions, including data warehouses and data lakes.

• Senior
• AWS
• Azure
• Python
• +2

Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.

• Senior
• AWS
• Azure
• GCP
• +3

Develop and optimize the data warehouse (BigQuery): design and maintain the raw → stage → final layer architecture.

• Middle
• SQL

Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data.

• Senior
• Python
• Snowflake
• SQL

Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.

• Lead
• Azure
• SQL

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)

• Senior
• AWS
• CI/CD
• Docker
• +3

FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

• Senior
• CI/CD
• Golang
• Java
• +4

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Senior
• SQL

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Manage and maintain enterprise SQL databases, including tables, views, stored procedures, scheduled jobs, and data integrations from multiple sources.

• Senior
• REST
• SQL

Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources

• Senior
• Java
• Python
• Snowflake
• +2

Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.

• Senior
• Azure
• SQL

Collaborate with cross-functional teams to identify, collect, and validate data sources and analytics requirements

• Senior
• CI/CD
• GCP
• SQL

Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines.

• Middle
• AWS
• LLM
• Python
• +1

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

• Senior
• DevOps
• AI
• Android
• +18

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

• Lead
• AI
• Android
• Azure
• +12

Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks

• Lead
• AWS
• Python
• Spark
• +1