Overview
We are Da Codes, a team of experts in software development and high-impact digital transformation. For over 10 years, we have created technology-driven solutions with our 220+ talented #Da Coders, including developers, architects, UX/UI designers, PMs, QA testers, and more. We work with clients across LATAM and the United States, delivering outstanding results. At Da Codes, you'll accelerate your professional growth by collaborating on diverse projects across various industries and sectors. Working with us will make you versatile and agile, giving you the opportunity to work with cutting-edge technologies and top-level professionals. Our Da Coders play a crucial role in the success of our business and our clients. You'll become the expert contributing to our projects while gaining access to disruptive startups and global brands. We're looking for talent to join our team—let's work together! The idóneo candidate brings a unique mix of technical experience, curiosity, a logical and analytical mindset, proactivity, ownership, and a passion for teamwork. Responsibilities
Design, build, and optimize data pipelines for large-scale applications. Design, build, and optimize data pipelines for batch and real-time processing. Build and optimize data lakes, warehouses, and analytics solutions on cloud platforms (AWS, GCP, or Azure). Implement ETL/ELT workflows using tools such as Apache Airflow, dbt, or Prefect. Ensure data integrity, consistency, and governance through proper architecture and best practices. Integrate data from various sources (structured and unstructured), including APIs, streaming services, and databases. Collaborate with data scientists and analysts to ensure high availability and accessibility of data for analytics and machine learning models. Monitor, troubleshoot, and improve the performance of data pipelines. Implement security best practices for data access, encryption, and compliance.



Collaborate with software engineers to integrate data pipelines into applications and services. Stay up to date with the latest trends in big data, cloud technologies, and data engineering best practices. Qualifications
5+ years of experience
in data engineering, data architecture, or backend development. Strong expertise in
SQL and No SQL databases
(Postgre SQL, My SQL, Mongo DB, Dynamo DB, etc.). Cloud expertise
with
AWS (preferred), GCP, or Azure. Proficiency in
Python, Java, or Scala
for data processing and pipeline development. Experience with
big data frameworks
like
Apache Spark, Hadoop, or Flink. Hands-on experience with
ETL/ELT processes and data pipeline orchestration
tools ( Apache Airflow, dbt, Luigi, or Prefect ). Experience with
message queues and streaming technologies
( Kafka, Kinesis, Pub/Sub, or Rabbit MQ ). Knowledge of
containerization and orchestration tools
( Docker, Kubernetes ). Strong problem-solving skills and the ability to
optimize performance and scalability. English proficiency (B2 or higher)
to collaborate with international teams. Nice-to-Have Skills (Preferred)
Experience with data lakehouse architectures (Delta Lake, Iceberg, Hudi). Familiarity with Machine Learning (ML) and AI-related data workflows. Experience with Infrastructure as Code (Terraform, Cloud Formation) for managing data environments. Knowledge of data security and compliance regulations (GDPR, CCPA, HIPAA). Key Responsibilities (Summary)
Design, develop, and maintain scalable data pipelines for batch and real-time processing. Build and optimize data lakes, warehouses,



and analytics solutions on cloud platforms (AWS, GCP, or Azure). Implement ETL/ELT workflows using Apache Airflow, dbt, or Prefect. Ensure data integrity, consistency, and governance through proper architecture and best practices. Integrate data from various sources (APIs, streaming services, databases). Work with data scientists and analysts to ensure data availability for analytics and ML models. Monitor, troubleshoot, and improve performance of data pipelines. Implement security best practices for data access, encryption, and compliance. Collaborate with software engineers to integrate data pipelines into applications. Stay up to date with trends in big data, cloud technologies, and data engineering best practices. Benefits
Integration with global brands and disruptive startups Remote work/Home office. You will be informed from the first session if any positions require a hybrid or on-site format. Don’t worry, most are remote! Work schedule aligned with your assigned team/project (Client's time zone) Monday to Friday work week Legal benefits Official holidays according to your assigned team/project Vacation days (available after six months with the company) Day off on your birthday Major medical insurance Life insurance Virtual integration events and interest groups Meetups with special guests from companies, IT professionals, and prestigious universities Constant feedback and performance tracking Access to courses and certifications Multicultural work teams English classes Opportunities across our different business lines Proudly certified as a Great Place to Work! Seniority level
Mid-Senior level Employment type
Full-time Industry
IT Services and IT Consulting Referrals increase your chances of interviewing at Da Codes. by 2x Mexico City Metropolitan Area 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

📌 Senior data engineer (english required) (Heroica Puebla de Zaragoza)
🏢 Dacodes
📍 Heroica Puebla de Zaragoza