Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.

More information:

We are looking for a Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures , with proven experience working with production‑grade systems in fast‑paced environments.

Candidates must reside exclusively in Argentina, Brazil, or Uruguay.

What You Can Expect (Responsibilities)

- Design, build, and maintain high‑throughput, low‑latency batch and streaming data pipelines to ingest and process financial transactions from diverse general sources.

- Design, scale, and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data.

- Collaborate with Data Scientists, Software Engineers, and Product Managers to understand business needs and translate them into scalable, reliable data solutions.

- Implement and enforce data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity, reliability, high availability, and compliance with SLAs.

- Drive the adoption of DataOps practices , including CI/CD, workflow automation, and Infrastructure as Code (IaC) for data systems.





- Champion data governance, privacy, and security standards across data storage and compute layers, including GDPR/LGPD compliance.

- Mentor and guide junior and mid‑level Data Engineers , promoting engineering excellence, best practices, and modern architectural patterns.

Requirements

- 5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles, with a proven track record managing high‑volume, production‑grade data systems in fast‑paced environments.

- Strong proficiency in Python and SQL for complex data processing, optimization, and software development; Scala or Java experience is a plus.

- Hands‑on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures , including Data Mesh principles.

- Strong expertise in AWS data services , particularly S3, Glue, Athena, EventBridge, Firehose, and Lambda , and ETL/streaming tools .

- Solid experience with data orchestration and warehousing technologies , including Apache Airflow or similar DAG‑based tools and platforms such as Snowflake, AWS Redshift, or Google BigQuery.

- Experience designing real‑time streaming architectures using technologies such as Apache Kafka or AWS Kinesis,



as well as familiarity with modern data transformation and modeling tools such as dbt .

- Strong knowledge of DevOps/DataOps practices , including Git, Docker, CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent), Infrastructure as Code, and cloud platforms such as AWS or GCP.

- Advanced English proficiency is required, with the ability to communicate effectively in English in both technical and non‑technical contexts.

Nice to Have

- Previous experience in Fintech, Payments, E‑commerce, or other high‑growth technology environments , particularly working with financial transactions or highly regulated data.

- Experience with Databricks and advanced cloud lakehouse architectures.

- Knowledge of data privacy, governance, and security frameworks , including GDPR/LGPD, as well as experience implementing secure data platforms.

- Experience with Infrastructure as Code tools such as Terraform , advanced DataOps automation, and mentoring Data Engineers or contributing to technical architecture decisions.

Benefits

- 100% remote
- Long‑term commitment, with autonomy and meaningful impact
- Strategic, high‑visibility role within a modern engineering culture
- Collaborative international team with strong technical leadership
- Career development and growth opportunities within Coderio

Why join Coderio?

At Coderio, we value talent and excellence. While we are primarily a remote‑first company, this specific strategic role offers the opportunity to work directly on‑site to dri

📌 Senior Data Engineer: Ingestion (Tandil)
🏢 Hire Hangar
📍 Tandil