Sr Data Engineer

Rootstrap; A distancia; ARS 6.500.000 - 9.750.000; Jornada completa

Descripción de la vacante

A technology company is seeking a Data Engineer to manage data infrastructure, monitor pipelines, and build event-driven systems for AI products. The role involves both operational responsibilities and the architectural design of new systems. Candidates should have over 4 years of data engineering experience, proficiency in SQL and Python, and experience with cloud data warehouses like Redshift or Snowflake. The position offers flexibility to work remotely or from various office locations in South America.

Servicios

Access to professional growth programs

Learning bonus

Flexible work environment

Gym benefits

Psychological counseling

Weekly lunch reimbursements

Referral program bonuses

Formación

• 4+ years of experience in data engineering.
• Advanced SQL and Python proficiency required.
• Strong experience with cloud data warehouses needed.
• Hands-on experience with orchestration tools desired.
• Experience with ETL/ELT pipeline development necessary.

Responsabilidades

• Monitor ingestion pipelines and triage alerts.
• Design and build new data infrastructure from scratch.
• Communicate effectively with technical and non-technical teams.

Conocimientos

Data engineering experience

SQL proficiency

Python proficiency

Cloud data warehousing experience

ETL/ELT pipeline development

Orchestration tools experience

AWS environments experience

Debugging skills

Herramientas

Redshift

Snowflake

BigQuery

Airflow

Fivetran

Descripción del empleo

We're looking for a Data Engineer who can handle both the operational side of data infrastructure keeping pipelines healthy, debugging issues, tuning performance and the architectural side of building event-driven systems for AI-powered products. You'll work across different client projects, from supporting existing data stacks to designing new pipelines for real-time behavioral analytics and machine learning workloads.

Responsibilities

On some projects, you'll be the person keeping the engine running: monitoring ingestion pipelines, triaging alerts, tuning warehouse performance, and making sure scheduled jobs don't break. On others, you'll be designing and building new data infrastructure from scratch event-driven architectures, real-time signal processing, and data models that power AI agents and ML pipelines. You'll need to be comfortable switching between these modes depending on what the project needs.

You're someone who can operate independently once you understand the context. You know how to read logs, trace data issues, and fix things without panicking. You communicate clearly both with technical teammates and with clients who may not speak data fluently. You're equally comfortable stabilizing a legacy system and designing something new. You ask good questions before diving in.

Required Skills & Experience

• +4 years of experience in data engineering
• Advanced SQL and Python proficiency
• Strong experience with cloud data warehouses (Redshift, Snowflake, BigQuery, or similar)
• Hands‑on experience with orchestration tools (Airflow, Dagster, Prefect, or similar)
• Experience with ETL/ELT pipeline development and maintenance
• Familiarity with data ingestion tools (Fivetran, Segment, Stitch, or similar)
• Experience working in AWS environments (S3, Lambda, and general cloud infrastructure)
• Experience with pipeline monitoring, alerting, and incident response
• Ability to debug production data issues under pressure

Nice to Have

• Experience with event‑driven architectures (EventBridge, Kafka, or similar)
• Familiarity with real‑time data processing and streaming
• Experience with PostgreSQL and Supabase
• Exposure to DynamoDB or other NoSQL databases
• Understanding of data modeling for analytics and machine learning
• Experience supporting ML/AI workloads and feature pipelines
• Exposure to BI tools such as Looker, Metabase, or similar

Benefits

• Access to Rootstrap University, conferences & certifications, and a mentorship program for your professional growth.
• Learning bonus.
• Opportunities to organize cross‑functional initiatives and receive 360 feedback to improve your skills continuously.
• The flexibility to work remotely or from our offices in Montevideo, Buenos Aires, and Medellín, with a flexible time schedule and workation program.
• Gym benefits, psychological counseling, and weekly lunch reimbursements with special foods in the offices.
• An onboarding kit and access to cutting‑edge technologies and tools to make your work easier.
• Referral program bonuses, after‑office prizes, and special occasions gifts to celebrate your achievements.
• People Care referent to support your well‑being and personal development.

How We Work

• We offer a flexible and diverse work environment that fosters multicultural talent.
• We value autonomy and creativity, we want people to bring ideas to the table and to think as leaders.
• We put our focus on real human connections.
• We have a commitment to excellence.

EEO Statement

All of our candidate searches are covered under Uruguayan Law 19691 (the purpose of this law is to promote the inclusion of people with disabilities).