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