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Data Engineer

5 hours, 50 minutes ago
Mexico, Argentina, Brazil, Chile, Peru, Colombia
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure CI/CD Dagster Databricks dbt Docker Flink GCP Git GitHub Actions HIPAA Jupyter Kafka Prefect Python Snowflake SQL Terraform
Apply Now
Azumo

Azumo

Azumo is a top-rated nearshore software development company offering world-class outsourcing solutions for web, mobile, data, AI, and cloud services with a focus on data, cloud, and AI technologies.

Internet Software & Services
51-250
Founded 2016
View All Jobs 4

Description

  • Build batch and streaming ingestion and transformation pipelines using tools such as Spark, Kafka, dbt, and Airflow.
  • Design warehouses and lakehouses with appropriate partitioning, file layouts, modeling, performance, and cost controls.
  • Develop chunking, embedding, and indexing pipelines for RAG retrieval systems.
  • Implement data quality contracts, including tests, expectations, lineage, and alerting.
  • Protect sensitive data through classification, masking, access controls, retention, deletion, and audit trails.
  • Deploy and operate containerized data systems on Azure or AWS with CI/CD, orchestration, and observability.
  • Manage pipeline freshness, deduplication, permissions, schema evolution, backfills, idempotency, and late-arriving data.
  • Work within client repositories and environments, collaborating with client teams and explaining technical trade-offs.

Requirements

  • 5+ years building and operating production data pipelines using Python and SQL.
  • Expertise in data warehouse or lakehouse design, dimensional modeling, incremental processing, and cost/performance trade-offs.
  • Production-scale distributed processing experience with Spark, Kafka, Flink, or equivalent.
  • Experience with Airflow, Dagster, or Prefect, including retries, idempotency, and backfill strategies.
  • Experience with dbt or equivalent version-controlled transformation tooling, including testing and lineage.
  • Cloud deployment experience with Azure preferred or AWS, plus Docker, CI/CD, and infrastructure as code using tools such as GitHub Actions, Terraform, or Bicep.
  • Ability to manage and explain pipeline cost, runtime, and throughput.
  • Active professional use of AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot.
  • C1-level or higher written and spoken English, with confidence communicating directly with clients.
  • Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience; retrieval infrastructure, streaming workloads, managed cloud services, compliance, notebooks, or open-source contributions are preferred.

Benefits

  • Paid time off and U.S. holidays.
  • U.S. dollar remuneration.
  • Profit sharing.
  • AI training.
  • Mentored career development.

Interested in this position?

Apply directly on the company website

Apply Now

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