Executive Level / Senior Level Remote Python Data Jobs

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  • Senior Data Engineer

    Key Responsibilities Move large volume data from one system to another Invert data mapping and data transfer Utilize SQL, Python, Data Bricks, and AWS for data engineering tasks Required Qualifications Strong expertise in SQL and Python Experience...with Data Bricks and AWS Background in the financial services industry Senior-level experience in data engineering Ability to work remotely or in a hybrid environment

    SQL Python Data Bricks AWS
  • Senior Financial Analyst

    in finance, accounting, or a related field 4 years Company progressively responsible experience in finance and/or accounting Experience in planning, forecasting, and financial analysis Proficiency in data analysis tools such as Excel, Power BI, SQL, or Python...Ability to analyze data anomalies and variance drivers

    Financial Analysis Forecasting Financial Modeling Excel
  • Principal AI Research Scientist

    understanding of probability theory, statistics, machine learning, and optimization Advanced degree (Ph.D. or M.S.) in Operations Research, Analytics, Statistics, Applied Mathematics, or related field Professional experience with programming languages such as Python...and SQL for data manipulation

    Machine Learning Predictive Modeling Generative AI Agentic AI
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  • 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

    SQL Python R Data Modeling
  • Senior Data Engineer

    Key Responsibilities: Design and optimize SQL and Python-based data flows Develop and maintain relational and spatial data models Support data migrations and pipeline monitoring Qualifications: 5+ years of experience in data engineering or systems

    SQL Python Azure PostgreSQL
  • Data Engineer

    Key Responsibilities Develop and maintain data pipelines using ETL/ELT tools Utilize SQL, PL/SQL, and Python for data processing and analysis Implement and manage data workflows using Airflow and Terraform Required Qualifications 8+ years of development

    SQL PL/SQL ETL ELT
  • 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

    Python SQL PySpark AWS
  • 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

    Python SQL PySpark AWS
  • 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

    Python SQL PySpark AWS
  • 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

    Python SQL PySpark AWS