928 - Data Ops Engineer (SQL/Python/Data Warehouses) · Semi Senior · LATAM at Darwoft

Cordoba, Córdoba, Argentina -

Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

0.0

Posted On

16 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Warehouses, Data Engineering, Database Administration, ETL, ELT, Automation, Data Processing, Analytics, Agile, SLA, AWS, Airflow, PostgreSQL, Snowflake

Industry

Software Development

Description

Data Operations Engineer (Semi Senior) · LATAM Location: Anywhere in LATAM Job Type: Remote Project: Data operations, pipelines & analytics platforms Time Zone: GMT-3 (Argentina time) English Level: B2 / C1 Get to Know Us At Darwoft, we create software that drives real change. But we're more than just tech — we're people first. We believe in building human-centered digital experiences and having fun while we do it. Our team is curious, passionate, and always growing. Based in Latin America, weve been partnering with companies worldwide to develop innovative solutions with heart and purpose. We work remotely, collaboratively, and with a strong sense of community — always embracing a culture of continuous learning, good vibes, and real impact. Were Looking for a Data Operations Engineer (Semi Senior) Were looking for a driven Semi Senior Data Operations Engineer to join a growing business where youll 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. Youll work closely with cross-functional teams, supporting data pipelines, orchestration workflows, and analytics platforms while contributing to the stability, scalability, and continuous improvement of our data ecosystem. What Youll Be Doing 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 What You Bring Must-Haves 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 Nice-to-Haves 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 What Darwoft Offers Contractor agreement with payment in USD 100% remote work Argentinas public holidays English classes Referral program Access to learning platforms Explore this and other openings at: www.darwoft.com/careers

Responsibilities

The Data Operations Engineer will monitor and troubleshoot databases, data pipelines, and workflows while supporting ETL/ELT processes. They will also document operational guidelines and contribute to the stability and scalability of the data ecosystem.