{"id":134537,"date":"2026-10-14T19:58:04","date_gmt":"2026-10-14T19:58:04","guid":{"rendered":"https:\/\/bhsg.com\/jobs\/job\/ns-ded-ns_1792007884-senior-data-engineer-python-sql-aws-snowflake-orlando-florida\/"},"modified":"2026-10-14T22:44:32","modified_gmt":"2026-10-14T22:44:32","slug":"ns-ded-ns_1792007884-senior-data-engineer-python-sql-aws-snowflake-orlando-florida","status":"publish","type":"job_listing","link":"https:\/\/bhsg.com\/jobs\/job\/ns-ded-ns_1792007884-senior-data-engineer-python-sql-aws-snowflake-orlando-florida\/","title":{"rendered":"Senior Data Engineer – Python, SQL, AWS & Snowflake"},"content":{"rendered":"

To Apply for this Job Click Here<\/a><\/strong><\/h4>\n<\/p>\n

Senior Data Engineer – Python, SQL, AWS & Snowflake<\/strong><\/p>\n

Position Overview<\/strong><\/p>\n

Seeking a highly skilled, hands-on Senior Data Engineer<\/strong> to design, develop, and optimize enterprise-scale data pipelines and cloud-based data solutions. The ideal candidate will have extensive experience with Python, SQL, ETL\/ELT development, and large-scale data processing<\/strong>, along with a strong understanding of modern cloud data engineering technologies.<\/p>\n

Looking for a true hands-on engineer with strong technical depth, not someone whose experience is primarily focused on data science, analytics, or high-level architecture.<\/p>\n

Ideal Candidate Profile<\/strong><\/p>\n

The ideal candidate is a technically strong Senior Data Engineer who has worked on large-scale enterprise projects and can demonstrate significant hands-on development experience.<\/p>\n

They should be able to explain not only how they use Python, SQL, and cloud technologies, but also how these technologies work together to deliver complete, scalable data engineering solutions<\/strong>.<\/p>\n

Candidates should have experience managing complex data pipelines, processing substantial data volumes, and collaborating directly with business and technical stakeholders.<\/p>\n

Strong communication skills, problem-solving abilities, and a collaborative approach are essential.<\/p>\n

Must-Have Qualifications<\/strong><\/p>\n

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  1. 5+ years of hands-on Python and SQL experience<\/strong>, with demonstrated expertise developing complex data engineering solutions and production pipelines.<\/li>\n
  2. Strong Data Engineering experience<\/strong>, including designing, building, optimizing, and maintaining enterprise-scale ETL\/ELT pipelines.<\/li>\n
  3. Experience working with large datasets and complex enterprise environments<\/strong>, including high-volume data ingestion, transformation, and processing.<\/li>\n
  4. Strong understanding of end-to-end data pipeline architecture<\/strong>, including how ingestion, orchestration, transformation, storage, and downstream systems integrate.<\/li>\n
  5. Experience with cloud-based data engineering solutions<\/strong>, preferably AWS, although Azure or GCP experience will be considered.<\/li>\n
  6. Strong hands-on development background<\/strong>, with the ability to troubleshoot technical issues, optimize performance, and independently deliver production-ready solutions.<\/li>\n
  7. Excellent communication and collaboration skills<\/strong>, with experience working directly with technical teams, business stakeholders, and cross-functional partners.<\/li>\n
  8. AWS:<\/strong> Experience with cloud storage, compute, configuration management, and data engineering services.<\/li>\n
  9. Snowflake:<\/strong> Hands-on experience developing SQL transformations, managing data workflows, and optimizing cloud data warehouse solutions.<\/li>\n
  10. Apache Airflow:<\/strong> Experience orchestrating, scheduling, and monitoring complex data pipelines.<\/li>\n<\/ol>\n

    Preferred Technical Skills<\/strong><\/p>\n