OverviewWe are DaCodes, 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 #DaCoders, 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 DaCodes, 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 DaCoders 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.ResponsibilitiesDesign, 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.Qualifications5+ years of experience in data engineering, data architecture, or backend development.Strong expertise in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, 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 RabbitMQ).
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, CloudFormation) 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.BenefitsIntegration with global brands and disruptive startupsRemote 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 weekLegal benefitsOfficial holidays according to your assigned team/projectVacation days (available after six months with the company)Day off on your birthdayMajor medical insuranceLife insuranceVirtual integration events and interest groupsMeetups with special guests from companies, IT professionals, and prestigious universitiesConstant feedback and performance trackingAccess to courses and certificationsMulticultural work teamsEnglish classesOpportunities across our different business linesProudly certified as a Great Place to Work!
Seniority levelMid-Senior levelEmployment typeFull-timeIndustryIT Services and IT ConsultingReferrals increase your chances of interviewing at DaCodes.
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📌 Senior Data Engineer (English Required) (México)
🏢 Dacodes
📍 México