---
title: 'SR Data Engineer (AWS) at Coderio'
canonical: 'https://feeny.ai/job/sr-data-engineer-aws-coderio-buenos-aires-k7bmzza76fyj'
type: 'job'
last_seen: '2026-09-08'
---

# SR Data Engineer (AWS) at Coderio

- **Company:** Coderio
- **Location:** Buenos Aires, Argentina
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/coderio/374e844c-6d1e-489d-adc9-c3632bf779e9

## Job description

## About Us

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: http://coderio.com 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 global 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. 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 similar), 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 drive high-stakes initiatives. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now.

## About Coderio

## Company Overview
- **One-liner**: Coderio is a nearshore software development and technology solutions company that builds custom software and provides dedicated engineering teams for enterprises and scale-ups.
- **Entity Type**: Private (no disclosed funding rounds)
- **Headquarters**: New York, New York, United States
- **Founded**: 2017
- **Founders**: Not publicly disclosed in available sources

## Core Business
- Primary industry: Software Development / Nearshore IT Services
- Target customers: B2B, primarily enterprises (Visa, McDonald’s, Coca‑Cola, BBVA, FedEx, IBM, Santander) and mid‑market companies
- Mission or purpose: To build the best software development company in the Americas and become the leading tech partner for enterprises in Latin America

## Products & Services
- **[Custom Software Development]**: Full‑lifecycle development of web, mobile, and enterprise applications, including MVP builds and legacy modernisation.
- **[Staff Augmentation]**: On‑demand access to a pool of 10,000+ pre‑vetted senior engineers (7+ years experience) aligned to US time zones.
- **[Managed Development Squads]**: Fully assembled, dedicated cross‑functional teams that take end‑to‑end ownership of product or platform initiatives.
- **[AI‑Enhanced Engineering]**: Integration of AI tools throughout the SDLC to accelerate delivery, reduce costs, and improve software quality.

## Market Standing
- **Valuation/Revenue**: Annual revenue estimated at **$10M** (LinkedIn, 2025); valuation not publicly disclosed.
- **Key Metric**: **93% employee retention rate**; **180+ employees** across 6 countries.
- **Notable Clients/Partners**: Visa, McDonald’s, Coca‑Cola, BBVA, FedEx, IBM, Santander.
- **Growth Signals**: Headquartered in New York with 8 offices across Latin America (Argentina, Colombia, Mexico, Peru, Chile, Uruguay); 101k+ LinkedIn followers (2.5% monthly growth); ability to assemble a squad within 7 days; continuous investment in AI‑driven development practices.

## Competitive Advantages
- Time zone alignment with US businesses via 6 nearshore delivery centres in Latin America.
- Strict vetting process ensuring only top‑tier, senior‑level engineers (7+ years of experience) enter the talent pool.
- 100% English‑proficient engineers enabling frictionless communication.
- High employee retention (93%) results in stable, deeply invested teams for clients.
- Proven methodology covering Discovery, Design & Architecture, Development, and Deployment & Support.

## Strategic Focus
- Embedding AI into every phase of the software development lifecycle to drive faster time‑to‑market and lower costs for clients.
- Scaling the nearshore talent network to meet growing enterprise demand for flexible, high‑quality engineering capacity.
- Strengthening long‑term partnerships with Fortune 500 companies while expanding into new verticals.

## Why Work Here
- **Culture & Ratings**: Employer rating of 4.8/5.0 on LinkedIn (Work‑Life: 4.8, Compensation: 4.8, Culture: 4.9, Career: 4.8).
- **Engineering Focus**: Emphasis on continuous learning, internal guilds and chapters, and exposure to the latest technologies.
- **Work Style**: Not explicitly stated if fully remote/hybrid/office; operates 8 offices in the Americas, suggesting a mix of in‑office and remote options depending on role.
- **Perks**: Not detailed in available sources, but the high retention and positive reviews indicate strong internal culture and career growth opportunities.

## Sources
1. [coderio.com/about-us](https://www.coderio.com/about-us/)
2. [coderio.com/leadership-team](https://www.coderio.com/leadership-team/)
3. [linkedin.com/company/coderio](https://www.linkedin.com/company/coderio)
4. [jobs.lever.co/coderio](https://jobs.lever.co/coderio)
5. [builtin.com/company/coderio](https://builtin.com/company/coderio)

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