Senior Data Engineer

Coderio

Senior Data Engineer building scalable financial data platforms for Coderio, a global digital solutions company. Designing batch and streaming pipelines, lakehouses, DataOps practices, and secure data architectures.

Posted 8/18/2026contractRemote • 🇦🇷 ArgentinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing data pipelines and architectures for high-throughput financial transactions, with a strong focus on data quality, governance, and compliance. Proficient in collaborating with cross-functional teams to deliver scalable data solutions and mentor junior engineers in best practices.

Highest-signal resume keywords

Data EngineeringPythonSQLAWS Data ServicesApache Spark/PySpark

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DesignData Quality FrameworksReal-Time Streaming ArchitecturesData GovernanceCI/CDInfrastructure as CodeApache AirflowDelta LakeData Mesh PrinciplesGit

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

AWS S3AWS GlueAWS AthenaApache KafkaAWS KinesisSnowflakeAWS RedshiftGoogle BigQueryDockerTerraform

Industry Keywords

FintechPaymentsE-commerceGDPRLGPD

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSBigQueryCloudDockerGoogle Cloud PlatformJavaKafkaPySparkPythonScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines for financial transactions
Design, scale, and optimize cloud data warehouse and lakehouse architectures for massive structured and unstructured data volumes
Collaborate with Data Scientists, Software Engineers, and Product Managers to translate business needs into scalable data solutions
Implement data quality frameworks, automated testing, monitoring, and alerting for data integrity, reliability, availability, and SLA compliance
Drive DataOps practices, including CI/CD, workflow automation, and Infrastructure as Code for data systems
Champion data governance, privacy, and security standards, including GDPR/LGPD compliance
Mentor junior and mid-level Data Engineers and promote engineering best practices and modern architectures

Requirements

What you’ll need

5+ years of experience in Data Engineering, Big Data, or related Software Engineering roles
Proven track record managing high-volume, production-grade data systems in fast-paced environments
Strong proficiency in Python and SQL
Hands-on experience with Apache Spark/PySpark, Delta Lake, modern lakehouse architectures, and Data Mesh principles
Strong expertise in AWS data services, particularly S3, Glue, Athena, EventBridge, Firehose, and Lambda
Experience with Apache Airflow or similar DAG-based orchestration tools
Experience with Snowflake, AWS Redshift, or Google BigQuery
Experience designing real-time streaming architectures with Apache Kafka or AWS Kinesis
Familiarity with dbt
Knowledge of Git, Docker, CI/CD pipelines, Infrastructure as Code, and AWS or GCP
Advanced English proficiency required for technical and non-technical communication
Scala or Java experience is a plus
Nice-to-have experience in Fintech, Payments, E-commerce, or high-growth technology environments
Nice-to-have experience with Databricks, GDPR/LGPD, Terraform, advanced DataOps automation, mentoring, or technical architecture decisions

Benefits

Comp & perks

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