[Hiring] Data Operations Engineer @Darwoft

Role Description

We're looking for a driven Semi Senior Data Operations Engineer to join a growing business where you'll have a strong voice in shaping data operations and platform reliability. This role sits at the intersection of data engineering, database administration, and technical operations.

• Monitor and troubleshoot databases, data pipelines, workflows, and data warehouses supporting ETL/ELT processes
• Support computational orchestration and automation workflows using Python-based tools
• Diagnose platform and data issues, perform root cause analysis, and implement preventative solutions
• Research and implement modern solutions related to data processing, analytics, and delivery
• Gain a deep understanding of the data landscape and how it supports business needs
• Work in a ticket-based environment with defined SLAs, ensuring timely resolution of issues
• Document SOPs, runbooks, and operational guidelines for the Technical Operations team

Qualifications

• Experience in IT Data Operations, Data Engineering, or related roles (Semi Senior level)
• Strong experience with SQL: complex queries, joins, aggregations, and data modeling
• Experience administering, managing, and tuning databases
• Hands-on experience with Python for orchestration, automation, and data manipulation
• Experience working with large-scale data warehouses and related technologies
• Understanding of software engineering best practices, SDLC, and Agile methodologies
• Ability to adapt and learn new technologies in a fast-changing environment
• Experience working with ticketing systems and SLA-driven operations

Requirements

• Experience with AWS services such as S3, Lambda, and Glue
• Experience with Airflow and orchestration frameworks
• Exposure to Spark or distributed data processing tools
• Experience with PostgreSQL databases
• Knowledge of U.S. healthcare data and related domains
• Familiarity with data privacy regulations such as HIPAA and GDPR
• Experience with Snowflake, including Snowpark and advanced features
• Understanding of Snowflake Data Sharing capabilities

Benefits

• Contractor agreement with payment in USD
• 100% remote work
• Argentina's public holidays
• English classes
• Referral program
• Access to learning platforms