Google Cloud Data Engineer – Colombia Remote
KeyrusBuild scalable Google Cloud data pipelines for Keyrus enterprise intelligence solutions. Work with BigQuery, Pub/Sub, Dataform, Cloud Storage, and Cloud Composer.
Ochish
RevStar is a digital transformation consultancy that helps organizations turn strategic priorities into working products and services. Its team brings together growth planning, customer journey design, AI and generative AI planning, data infrastructure, product testing, MVP development, and technology modernization. RevStar works with leaders in healthcare, insurance, and finance on mission-critical challenges, connecting strategic direction with hands-on technical execution. The company’s hiring context is not specified in the available information.
Senior Data Engineer, AI and Databricks
Build cloud-agnostic Databricks Lakehouse pipelines and production AI solutions for RevStar clients. Improve Spark performance, MLOps, governance, and automated deployments.
Tavsif
- Build and optimize ETL/ELT pipelines with Apache Spark and Delta Lake across AWS, Azure, and GCP.
- Create Lakehouse architectures for enterprise-scale structured and unstructured data.
- Automate data ingestion, storage, and feature engineering for analytics and real-time AI workloads.
- Tune Spark jobs to reduce latency and cost while increasing throughput.
- Work with ML engineers and data scientists to deploy AI models in Databricks using MLflow.
- Set up CI/CD pipelines and infrastructure as code with Terraform and Databricks CLI.
- Apply enterprise security, access controls, and compliance standards, including GDPR, HIPAA, and SOC 2.
- Work with client technology leaders, product managers, and engineering teams to turn AI data needs into business outcomes.
- Write technical documentation.
- Guide solution handoffs to client engineering teams.
Talablar
- At least 3 years of cloud-native data engineering experience.
- At least 2 years of hands-on experience with Databricks, Apache Spark, Delta Lake, and MLflow.
- Strong skills in Python, SQL, Spark frameworks, CI/CD, and infrastructure as code using Terraform or Databricks CLI.
- Demonstrated success in fast-paced Agile and DevOps consulting environments.
- Experience delivering cloud-agnostic architectures.
- Excellent client communication skills.
- An active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred.
Imtiyozlar
- Remote-first work environment with connection to a global team.
- Collaborative, innovative culture that values curiosity and initiative.
- Equal opportunity workplace.
- Reasonable accommodations for individuals with disabilities.
O‘xshash ish o‘rinlari
Data Engineer (Remote, Mexico)
iCodde
MeksikaMasofaviyShartnomaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: ispanchaMa’lumotlar muhandisiBuild data, business intelligence, and enterprise performance management solutions for iCodde and Claryen’s international clients. This remote contract role involves Python, Spark, SQL and NoSQL, and ETL.
Ochish
Senior Data Engineer, Brazil (Remote)
R2 Companies
Argentina
Braziliya
Chili
KolumbiyaMasofaviyShartnomaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisiBuild data pipelines, warehouse models, and orchestration systems for R2’s embedded finance platform. Help support financial services for small and midsize businesses across Latin America.
Ochish
Senior Data Engineer, Databricks and Azure
EVTBraziliyaMasofaviyShartnomaSeniorTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: portugalchaMa’lumotlar muhandisiSenior data engineering role at Brazilian IT solutions company EVT, designing scalable Lakehouse architectures with Databricks and Azure. Build data pipelines and support analytics, streaming, and AI initiatives.
Ochish
Data Architect – Remote in Brazil
Massive Rocket | Data & CRM ConsultancyShape scalable customer data and MarTech solutions for Massive Rocket, a Braze and Snowflake consultancy. Lead architecture discovery, governance, roadmaps, and Data Engineering delivery for client engagements.
Ochish