Experienced / Employer Remote Python Data Jobs

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  • 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
  • CX Analyst

    Qualifications Minimum 3 years of experience in a data analysis role Advanced proficiency in Tableau for data visualization Experience with PowerBI for reporting and dashboards Proficient in SQL for data extraction and manipulation Programming skills in Python...for data manipulation and analysis

    Tableau PowerBI SQL Python
  • 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
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  • Senior Data Analyst

    Science, Mathematics, Computer Science, Statistics, Business, or related field, or 4 additional years of relevant experience in lieu of a degree 5 years of experience in an analytical or quantitative role Hands-on experience with SQL, Power BI, and Python...for data analysis Experience in the Healthcare industry is preferred Master's degree in a quantitative field is a plus

    SQL Power BI Microsoft Fabric Python
  • Data Analyst

    Computer Science, Statistics, Business, or a related field, or 4 years of relevant work experience in lieu of a degree 3 years of data analysis or relevant work experience Hands-on experience with SQL and Microsoft Power BI Basic experience with Python...for data exploration and transformation Familiarity with analytical modeling methods and data visualization best practices

    SQL Snowflake SQL Server Microsoft Excel
  • Senior Data Engineer

    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 with data pipelines using Airflow and data storage systems like S3 and Redshift Strong knowledge of SQL, Python

    Data Engineering Data Modeling Dimensional Modeling Cloud-based Platforms
  • Lead Data Scientist

    field, with 2-3 years as the main technical lead Experience with search systems like Elastic and SOLR, and their customization capabilities Extensive experience with machine learning frameworks such as TensorFlow and PyTorch Expert understanding of Python...and big data technologies like Spark and Kafka Master's Degree or equivalent in quantitative fields preferred

    Machine Learning AI Data Science Data Analysis
  • Senior AI Consultant

    Intelligence, Information Technology, or a related field 5 years of professional experience in AI solution development, preferably in a consulting environment Proficient in developing advanced AI solutions using Azure Cognitive Search Expertise in Python...programming and building data pipelines using Azure Semantic Kernel In-depth knowledge of prompt engineering and Azure ML

    OpenAI Data Ingestion Transformation Pipelines Prompt Engineering
  • Software Engineer 3

    Science, Engineering, or related technical field Two years of experience in designing and implementing CI/CD pipelines using Docker and Kubernetes Experience with public cloud platforms such as AWS, Azure, and Google Cloud Platform Proficiency in Python...for automation scripts and data preprocessing Familiarity with monitoring solutions like Prometheus and ELK stack

    CI/CD Pipelines Docker Kubernetes Python
  • 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