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Part Time / Senior Level Remote Python Data Developer Jobs
Remote Alteryx ETL Developer
A company is looking for a Remote Alteryx ETL Developer/Data Engineer....Key Responsibilities Design and implement ETL jobs using Alteryx and other ETL tools Develop data loads and implement change data capture (CDC) Test, debug, and schedule ETL jobs while managing data warehouses Required Qualifications 6 years of
Senior Health Data Analyst
A company is looking for a Senior Health Data Analyst to develop and refine methodologies for evaluating healthcare providers.
Senior Data Architect
Key Responsibilities: Design and implement scalable, efficient, and secure data architectures using Databricks and Snowflake in a cloud environment Develop and maintain data models, schemas, and pipelines for reliable data ingestion, transformation...concepts and technologies, including Python and Spark
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Senior Data Engineer
Key Responsibilities: Design, develop, and maintain automated data pipelines for analytics and data science Establish operating standards and service-level agreements with analysts and data scientists Lead technical discussions on data architecture...and collaborate with engineering teams Required Qualifications: 5+ years of experience in data engineering and data modeling Proficiency in Python and scalable data infrastructure Deep expertise with cloud-based data platforms, preferably AWS Experience
Data Science Technical Screener
Key Responsibilities Conduct 45-minute video technical interviews to evaluate candidates' skills in Python, SQL, and data science concepts Assess candidates' technical depth and problem-solving abilities in real-time Complete evaluation sheets post-screening
Senior Data Engineer
reports to drive business behavior Take ownership of projects by collaborating with engineers and stakeholders to design data solutions Required Qualifications Experience across the data stack including ingestion, storage, and analysis Proficiency in Python...and SQL Experience with data lake architectures and major cloud providers (AWS, GCP, Azure) Familiarity with multiple data processing and query engines (e.g., Spark, BigQuery) Strong interest in data and its business implications