858 - Senior Data Engineer · LATAM
858 - Senior Data Engineer · LATAM
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Salary Not Disclosed
1 Vacancy
Job Description
Technical Operations Engineer LATAM
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Location: Anywhere in LATAM
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Job Type: Remote Full Time Contractor
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Project: Life Sciences / Healthtech AI Platform
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Time Zone: EST (US Eastern Time)
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English Level: C1
Get to Know Us
At Darwoft we create digital products with heart. Were a Latin American tech company focused on building impactful human-centered software for clients around the globe. Our remote-first culture thrives on trust continuous learning and collaboration.
Were passionate about technology but even more about people. If youre looking to join a team where your ideas matter and your work makes a real difference welcome to Darwoft.
About the Role
Were looking for a Technical Operations Engineer to join a leading AI-powered Life Sciences & Healthcare analytics platform. This solution enables global organizations to gain real-time insights into their data pipelines and medical strategies transforming decision-making and improving patient outcomes.
This is a critical hands-on role where youll take ownership of platform reliability operational excellence and the scalability of data pipelines. Youll work across engineering product and customer success teams to ensure high availability optimize infrastructure and deliver seamless data operations in a fast-paced environment.
What Youll Be Doing
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Ensure the operational health reliability and performance of data pipelines (batch & streaming) and infrastructure.
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Proactively monitor troubleshoot and optimize data ingestion ETL/ELT and delivery pipelines.
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Develop automation scripts and operational tools in Python to streamline workflows deployments and quality checks.
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Provide advanced technical support collaborating with Engineering Product and Customer Success teams.
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Create and maintain runbooks troubleshooting guides and incident playbooks for knowledge sharing.
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Work in an Agile environment with cross-functional teams operationalizing data architectures for healthcare and life sciences datasets.
What You Bring
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Bachelors or Masters degree in Computer Science Engineering or related field.
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5 years of experience in Technical Operations SRE or DevOps with a focus on data platforms.
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Proven experience managing enterprise-grade data services (Data Lakes Warehouses Pipelines).
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Strong Python programming for automation and monitoring.
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Hands-on with cloud platforms (AWS/GCP) compute storage databases containerization and orchestration.
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Proficiency in SQL (BigQuery Redshift Snowflake).
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Expertise in ETL/ELT pipelines data quality governance and compliance.
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Strong troubleshooting and root cause analysis skills across distributed systems.
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Excellent communication skills including documentation and client-facing explanations.
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Ability to collaborate effectively across distributed teams mainly in the EST timezone.
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Experience working in regulated environments (healthcare finance HIPAA).
Nice to Have
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Experience in Life Sciences / Healthcare data.
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Knowledge of MLOps and AI/ML model operationalization.
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Familiarity with data visualization tools (Looker PowerBI).
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Experience with Elasticsearch.
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Understanding of ML frameworks (TensorFlow PyTorch Scikit-learn MLFlow).
What Darwoft Offers
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Contractor agreement with payment in USD
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100% remote work
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Argentinas public holidays
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English classes
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Referral program
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Access to learning platforms
Employment Type
Full Time
