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Data Engineer - Remote LATAM
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Insight Global
Remote
Full-Time
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Job Description
Job Description Octave is seeking a Data Engineer to support a large-scale cloud migration from AWS to Google Cloud Platform (GCP). This individual will play a critical role in modernizing the company's data infrastructure, ensuring seamless data movement, and building scalable pipelines in the new environment. This is a high-impact engagement through the end of the year, with strong opportunity to transition into ongoing data engineering and integration work post-migration. Key Responsibilities Support the end-to-end migration of data systems from AWS to GCP Design, build, and optimize scalable data pipelines and transformations Work with large datasets across cloud-based data warehouses (Redshift, BigQuery) Develop and maintain ETL/ELT workflows using Airflow Write efficient, production-grade code in Python for data processing and integration Partner with cross-functional teams (data, engineering, business stakeholders) to ensure data reliability and accessibility
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Post-migration:
support ongoing data operations, integrations, and enhancements We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling. (Ideally 5+ Years)
- Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD.
- Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).
- Hands-on experience with cloud data warehouses (Redshift and/or BigQuery)
- Experience building and maintaining data pipelines using Airflow/Airbyte
- Strong understanding of data modeling, ETL/ELT, and distributed data systems
- Comfort using AI tools in day-to-day workflows, with a willingness to continuously rethink and improve how work gets done.
- Curiosity and openness to experimenting with new tools and approaches; prior experience with AI tools is a plus.
- Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field.
- 5+ years of experience in data engineering, platform engineering, or ML engineering.
- Experience supporting a cloud migration (ideally AWS → GCP)
- Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs.