
51 - 200 employees
📣 Marketing
🛡️ Insurance
📦 Logistics
Marketing • Insurance • Logistics
MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.
🔥 19 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
📣 Marketing
🛡️ Insurance
📦 Logistics
Marketing • Insurance • Logistics
MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.
• Design, build, and optimize enterprise data pipelines, lakehouse storage layers, and data models using Databricks (PySpark, Spark SQL, Delta Lake) to power custom clinical application backends. • Collaborate with frontend developers, software architects, and clinical research teams to build API-driven endpoints, data ingestion engines, and query layers for proprietary clinical trial software. • Build performant, standards-compliant data structures to store EDC outputs, audit trails, device telemetry, and patient-reported outcomes, enabling rapid querying and downstream analytics. • Partner with Clinical QA and Validation teams to ensure database structures, data pipelines, and clinical data repositories comply with GxP, 21 CFR Part 11, HIPAA, and GDPR. • Implement real-time and batch ingestion jobs connecting legacy clinical systems, central labs, EHRs, and wearable devices into a unified Databricks Lakehouse architecture. • Monitor, troubleshoot, and optimize Spark jobs, Delta Lake tables, and query execution times to support high-throughput, low-latency clinical platform workflows.
• 4+ years of hands-on experience building production data pipelines and lakehouse architectures using Databricks, Delta Lake, and Apache Spark (PySpark or Scala). • Demonstrated experience building, extending, or maintaining custom software applications for clinical trials (e.g., custom EDC, CTMS, Clinical Data Repositories, or eCOA/ePRO platforms). • Deep understanding of clinical data standards and regulatory environments, including CDISC (SDTM, ADaM, CDASH), 21 CFR Part 11, GxP validation, and ICH-GCP guidelines. • Strong experience with relational schema design, dimensional modeling, and unstructured data handling within Delta Lake environments. • Proficiency in Python, SQL, RESTful API integrations, CI/CD pipelines, Git, and automated testing frameworks. • Experience working in cloud environments (AWS preferred, Azure or GCP). • Advanced English to discuss technical requirements and solutions with clients in the United States
• Remote-first culture – work from anywhere! • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered • In-Company English Lessons. • Birthday off + an extra vacation week (Mutt Week! 🏖️) • Referral bonuses – help us grow the team & get rewarded! • Maslow: Monthly credits to spend in our benefits marketplace. • Annual Mutters' Trip – an unforgettable getaway with the team! • Monthly Childcare Reimbursement – Because supporting families matters too
Apply Now🔥 18 hours ago
Senior Data Engineer designing scalable data pipelines and analytics solutions for SunnyData customers. Supporting AI, machine learning, and business intelligence initiatives.
AWS
Azure
Google Cloud Platform
Hadoop
Kafka
Pandas
Scikit-Learn
Spark
SQL
🕒 2 days ago
AWS Data Engineer developing cloud data platforms, pipelines, and AI-ready datasets for Netrix Global’s data-driven clients. Remote role based in Argentina with occasional travel.
Airflow
Apache
AWS
Cloud
ETL
Hadoop
Python
Spark
Terraform
🕒 September 23
Senior Data Engineer architecting distributed data infrastructure for Jampp’s mobile advertising platform. Building real-time pipelines and guiding technical direction across high-throughput systems.
AWS
Distributed Systems
Docker
ETL
Kubernetes
Open Source
PySpark
Python
SQL
🕒 September 23
Senior Data Engineer building AWS data-ingestion pipelines and identity-resolution systems for RYZ Labs. Improving data quality, event-driven workflows, and downstream platform reliability.
AWS
Elixir
Python
SQL
🕒 September 23
Data Engineer building production pipelines, warehouses, and RAG retrieval infrastructure for Azumo’s client AI systems. Fully remote across Latin America, using modern cloud and data platforms.
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Docker
Kafka
Python
Spark
SQL
Terraform