Senior Data Engineer AWS
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.
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:
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 integral 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.
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