Data Engineer

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. What are the main responsibilities of this role? On some projects, you’ll be the person keeping the engine running: monitoring ingestion pipelines, triaging alerts, tuning warehouse performance, and ensuring scheduled jobs don’t break. On others, you’ll design and build new data infrastructure from scratch, creating event‑driven architectures, real‑time signal processing, and data models that power AI agents and ML pipelines. You’ll need to switch between these modes depending on what the project requires. You operate independently once you understand the context, read logs, trace data issues, and fix things under pressure. You communicate clearly with technical teammates and with clients who may not speak data fluently. You’re equally comfortable stabilizing a legacy system and designing something new, and you ask good questions before diving in. Which skills and experience do we envision for this role? +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 Join our team and enjoy: 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 events, prizes, and special occasion gifts to celebrate your achievements. People Care referent to support your well‑being and personal development. We value your well‑being and happiness. We grow together 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 think as leaders. We focus on real human connections. We are committed to excellence. At Rootstrap, we help companies launch, grow, and scale their digital products and services. With over 290 global team members, we’ve built solutions for industry leaders like MasterClass, Universal, and Google, as well as for innovative startups and pioneers. Our team takes pride in making an impact that goes beyond the code, earning regular recognition as a Fastest Growing Company and Best B2B Service Provider. We embrace an AI‑first mindset, continuously exploring how artificial intelligence can enhance the way we build products, solve problems, and deliver value. Across all stages of the development process, we encourage our teams to actively leverage AI to boost productivity and drive innovation. With offices in Uruguay, Argentina, and Colombia, we offer the flexibility to work remotely. Discover more about life at Rootstrap at . 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). #J-18808-Ljbffr