Python Developer with Data Background-4

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for a Python Developer with a data background in Juno Beach, FL, offering a pay rate of "X". Candidates must have 9+ years in data engineering, strong Python and SQL skills, and experience with cloud platforms.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Juno Beach, FL
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🧠 - Skills detailed
#Docker #Redshift #Python #Data Integration #Hadoop #SQL (Structured Query Language) #Scripting #"ETL (Extract #Transform #Load)" #Data Quality #Azure #Databases #Data Manipulation #Data Science #Debugging #Cloud #Snowflake #Data Ingestion #Data Pipeline #Big Data #Complex Queries #AWS (Amazon Web Services) #Data Framework #Datasets #Scala #Automation #Security #Kubernetes #Compliance #Data Engineering #GCP (Google Cloud Platform) #PySpark #Spark (Apache Spark) #Storage #BigQuery #Data Processing #Data Governance
Role description
Job Type: Contract Job Category: IT Job Description Job Title: Python Developer with Data Background Duration: Long-term Contract Job Description: We are seeking a Strong Python Developer with Data Background to join our onsite team in Juno Beach, FL. The ideal candidate will have a solid background in data engineering, with proven hands-on experience in building data pipelines, integrating large-scale datasets, and enabling analytics solutions using Python and related technologies. Key Responsibilities: Design, develop, and optimize scalable data pipelines and ETL processes. Write clean, efficient, and reusable Python code to support data workflows. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions. Work with relational and non-relational databases for data ingestion, transformation, and storage. Ensure data quality, integrity, and security across systems. Troubleshoot and optimize performance of data pipelines and processes. Must-Have Skills: Must have 9+ Years of experience in Data Engineering role. Strong hands-on Python development experience (data manipulation, automation, scripting, APIs). Proven experience in data engineering concepts: ETL/ELT, data pipelines, data integration. Strong SQL skills (writing complex queries, performance tuning). Experience with cloud platforms (AWS, Azure, or GCP) for data processing and storage. Familiarity with big data frameworks (Spark, PySpark, Hadoop, etc.) is highly preferred. Excellent problem-solving and debugging skills. Good to Have: Experience with containerization (Docker, Kubernetes). Exposure to data warehousing solutions (Snowflake, Redshift, BigQuery). Knowledge of CI/CD pipelines for data solutions. Familiarity with data governance, security, and compliance best practices. Required Skills SQL Application Developer