Join Kraken as a Product Data Analyst responsible for end-to-end data ownership: building and maintaining production-grade pipelines and dbt models, designing dashboards and metric frameworks, leading A/B testing and causal inference, and delivering insights that drive product decisions. Requires 7+ years in data analytics/analytics engineering (preferably fintech/crypto), strong SQL and Python skills, experience with dbt and orchestration tools, and fluency in English.

Encora seeks a Data Engineer in Brazil (remote, full-time). The role involves high-level stakeholder engagement to gather requirements and design data platform architecture, with responsibilities across governance, security, performance tuning, data modeling, and ETL/workflow processes. Required/expected technologies include Hadoop (YARN, HDFS), Hive, Spark, Kafka, Pentaho, Airflow, AWS data tools, SQL/NoSQL, and metadata management. Highly desirable skills include Python and Java, Linux system administration, machine learning workflows, pipeline orchestration tools (Oozie, Luigi), and Kubernetes.

Lead development, testing, implementation and support of clinical databases from start-up through post-lock for LATAM studies. Collaborate with Data Management, Project Management, EDC vendors and clients; provide system administration, troubleshooting, validation documentation, SOP contribution, forecasting and training/mentoring. Technical experience with EDC/CDMS, CDISC standards, object-oriented languages (C#, C++, VBS) and database programming is required.

Lead implementation and governance of digital analytics solutions (GA4, GTM, server-side tagging), design and validate event tracking, perform advanced analysis in BigQuery/SQL, and develop dashboards and reports to inform product and business decisions. Requires 4+ years in digital/web/product analytics and advanced English.

Coforge is hiring a Senior Data Engineer to design, build, migrate and maintain production-grade data pipelines and data products. Key responsibilities include Azure Databricks/DBT-based pipeline development, Snowflake-to-Azure migration, infrastructure-as-code with Terraform, implementing data quality and observability, and supporting production systems. Experience with streaming technologies, security/compliance in regulated industries, and domain experience in insurance/financial services is desirable.

Coforge is hiring a Lead Data Engineer to lead and mentor a team, own end-to-end data platform architecture, design scalable data pipelines and models, and drive a migration strategy from Snowflake/SSIS to Azure Databricks and dbt. Required skills include strong Python, DBT, Snowflake, Azure Databricks, Terraform, advanced SQL, CI/CD and Git, experience with large-scale data transformations, and familiarity with insurance/financial domain concepts.

Own and support the operational layer of the analytics platform: maintain and optimize Apache Airflow DAGs, manage dbt Core CI/CD and model performance on Snowflake, monitor data quality and platform configurations, handle on-call incident triage and root cause analysis, and collaborate with analytics engineering teams. Remote role based in Brazil.

Lead the design, build, and operation of a rapidly scaling data platform for veterinary practice analytics, owning ingestion (including CDC), transformations (dbt), Snowflake warehousing, Airflow orchestration, Kubernetes/EKS deployments, infrastructure provisioning with Terraform, and observability with Datadog. Requires strong SQL and Python skills, experience with Snowflake, dbt, Airflow, Terraform, Kubernetes, and production CDC tools (e.g., Debezium).

Remote Senior Data Engineer at SecurityScorecard (Brazil). Own end-to-end data engineering projects, build and maintain big-data pipelines, collaborate with product and global teams, and mentor junior engineers. Requires 5+ years in data engineering, proficiency with Spark, experience with Scala/Java, RESTful APIs, testing, and familiarity with a stack including Scala, Spark, Airflow, ScyllaDB, PostgreSQL, ClickHouse, Hive, Redis, Kafka, Docker, Jenkins, Terraform, and AWS. No immigration sponsorship provided.

Chainlink Labs is hiring a remote Software Engineer, Data Growth to design and build automation and self-service experiences that accelerate customer onboarding and improve scalability. Responsibilities include implementing automation, improving data sourcing and provisioning, applying AI for process transformation, and collaborating across teams. Preferred skills include TypeScript (required), Golang, Web3 familiarity, distributed systems, APIs, and cloud-native architectures.

Sardine is hiring a Senior Data Platform Engineer (remote - Brazil) to build and optimize ETL and streaming pipelines, design APIs for fast data retrieval, and architect scalable storage (e.g., Bigtable/BigQuery/Elasticsearch). The role requires 5+ years building scalable backend systems, hands-on experience with Flink/Beam/Airflow/Spark, proficiency in Go/Python/Java, strong SQL/NoSQL knowledge, cloud (AWS or GCP), containerization (Docker/Kubernetes), and C1-level English.

Manager role responsible for the architecture and roadmap of Kraken's real-time streaming and data platform (Spark, Kafka, Iceberg, RisingWave, Flink), building scalable data systems for trading, risk, compliance and analytics. Requires 8+ years in data/platform/distributed systems (with 3+ years managing teams), experience with AWS data services, production streaming/CDC pipelines, programming in Python/Scala/Java, and adoption of AI automation in data workflows.

Lead development and optimization of clinical data systems and ETL pipelines; drive enterprise data standardization (CDISC), build validation frameworks, ensure regulatory compliance (GCP, FDA 21 CFR Part 11), develop dashboards and analytics, mentor junior engineers, and collaborate with Biostatistics, Clinical Operations, and Regulatory Affairs across LATAM.

Bask Health is hiring a Machine Learning Engineer to design, build, and ship AI-first product experiences for telehealth. The role emphasizes working with LLMs (Cursor, Claude), building ML pipelines and distributed data processing (Apache Spark, Databricks), cloud deployments (AWS/Azure/GCP, ECS/EKS/Lambda), and strong Python/TensorFlow (PyTorch a plus) skills. Candidates should have a bachelor's in a STEM field and 3+ years of professional ML or computer vision experience.

Luxor seeks a Data Engineer to design and operate scalable streaming and batch data pipelines, govern performant cloud-deployed databases, and collaborate on secure, multi-region, production-ready architectures. Required skills include Python, PostgreSQL/PLpgSQL, ETL, and data warehouse technologies (e.g., Trino, ClickHouse, Airflow); preferred experience includes Kafka/Redpanda, Kubernetes/Docker, and 4+ years in relevant data roles.