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Executive Level / Experienced Remote Python Data Jobs
Data Engineer
transformation workflows using tools such as Pandas and Apache Spark Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models Required Qualifications: 3+ years of hands-on experience with SQL and Python...in data engineering or analytics roles Experience with data transformation tools/frameworks such as dbt, Pandas, and Apache Spark Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks) Solid understanding of ETL/ELT processes and pipeline
Data Scientist, Privacy
high-quality reports summarizing findings and contribute to research activities on re-identification risk Required Qualifications Good understanding of statistical probability distributions, bias, error, and power Familiarity or proficiency with R or Python...for data analysis Experience in applying scientific methods to practical problems through experimental design and hypothesis testing Appreciation of effective methods in data privacy and security, with awareness of relevant legislation Familiarity
Technical Account Manager
Bachelor's degree in Computer Science, Engineering, or a related technical field 3+ years of experience in a technical role involving direct client interaction Strong SQL skills and experience with data platforms like Snowflake and Redshift Proficient in Python...and its data stack (pandas, numpy, etc.) and deep experience with AWS cloud services Experience troubleshooting distributed systems and familiarity with Agile project management tools
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Principal Data Scientist
implement models to predict and prevent customer churn Establish a center of excellence for data science practices and standards Required Qualifications 7+ years of hands-on experience in data science and machine learning Expert-level proficiency in Python..., data manipulation libraries, and SQL Deep experience with various ML techniques and end-to-end ML lifecycle Experience with version control systems like Git Advanced degree in a quantitative field is preferred
Senior Data Engineer
Snowflake and improve data observability Mentor other engineers and collaborate with cross-functional teams on data initiatives Required Qualifications 8+ years of experience in data engineering or related technical roles Proficiency in SQL and Python...for data transformation and automation Hands-on experience with tools like dbt, Airbyte, Fivetran, and Snowflake Strong understanding of AWS cloud technologies Familiarity with open data formats and scalable data lakehouse principles
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
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 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 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
