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Senior Data Engineer - INTL Brazil
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Insight Global
Philadelphia, PA (In Person)
Full-Time
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Job Description
Job Description Design, build, and maintain scalable data pipelines using Python and SQL to support analytics and downstream applications. Orchestrate workflows using Airflow while ensuring data reliability, quality, and performance across large datasets. Work closely with cross-functional teams to optimize data storage and processing within Snowflake or Redshift environments. Leverage AWS services such as S3 and SQS, along with Terraform for infrastructure as code. Continuously improve existing pipelines, troubleshoot issues, and support both batch and streaming data solutions where applicable. 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.
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Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- 5+ years of professional experience as a Data Engineer
- Strong experience with Python and Bash (building data pipelines and managing shell script wrappers)
- Experience working with large-scale datasets, including performance optimization
- Hands-on experience with Airflow for workflow orchestration
- Experience with Snowflake or Redshift databases
- Working knowledge of AWS services (S3, SQS) and Terraform
- Strong SQL skills (ad hoc querying and pipeline development)
- Experience using AI tools for code generation (e.g., Claude, Codex, Copilot)
- Experience with both streaming and batch data processing (e.