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Permanent Remote Python Data Jobs
ETL Python Developer
Key Responsibilities Develop ETL pipelines using Python for data extraction, transformation, and loading into data warehouses Conduct technical validations, support User Acceptance Testing (UAT), and participate in architecture and code reviews Prepare...technical design specifications based on functional requirements and provide feedback on design documents Required Qualifications 8-10 years of practical IT experience Extensive experience in Python development and data warehousing techniques Familiarity
Data Analyst
Computer Science, Statistics, or a related technical field (or equivalent experience) 1-2+ years in data analytics, business intelligence, or a related field Proficiency in SQL and familiarity with data warehousing (Snowflake preferred) Experience with Python...for data manipulation and analysis Basic understanding of dbt for data transformations
Data Engineer
including manipulation of large datasets and performance tuning Experience with batch and streaming data processing, particularly using tools like Benthos Familiarity with feature engineering and management tools such as Feast Extensive experience using Python...for data model generation Knowledge of cloud technologies and experience with data in cloud data warehouses (e.g., Redshift, Snowflake, Databricks, BigQuery)
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Senior Software Engineer
Key Responsibilities Build frontend applications using JavaScript/TypeScript to visualize and work with data Develop backend APIs and services using Node.js or Python to support data workflows and analytics Implement business logic and data automation
Staff Data Engineer
data warehouse Take ownership of the codebase, identifying improvements and maintaining modern design Participate in architecture reviews and communicate effectively with stakeholders Required Qualifications 8+ years of experience in developing data...platforms using Python and SQL Experience with ETL pipelines and modern ETL tools Proficiency in AI tools to enhance developer productivity Experience with database technologies like Postgres, BigQuery, and Redshift Experience in cloud services such
Senior Data Analyst
or Master's degree in a quantitative field such as Computer Science, Statistics, or Mathematics 8+ years of experience in data analysis, focusing on mobile and web app analytics Strong proficiency in SQL and at least one programming language like Python...or R Expertise in data modeling, cleaning, and preparation Experience with statistical analysis, predictive modeling, and machine learning concepts
Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 3+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
Senior Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 7+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
Senior Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 7+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 3+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
