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Full Time Remote Python Data Jobs
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 Fluent in English (spoken and written)
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 Fluent in English (spoken and written)
Senior Data Engineer
applications Implement data quality checks and validation processes to ensure accuracy of financial data Required Qualifications 7+ years of experience as a Data Engineer, with at least 2 years in the Databricks ecosystem Strong proficiency in Python..., including data science libraries like Pandas Proven experience with AWS cloud services and data architecture Experience with DBT for data transformation and documentation Familiarity with Apache Airflow for workflow orchestration
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Senior Data Engineer
Responsibilities Design, build, and maintain reliable ETL pipelines Work with large datasets using Python or Java and raw SQL Collaborate with stakeholders to ensure data quality and performance Required Qualifications 7+ years of experience as a Data...Engineer Strong skills in Python or Java for data processing Proficient in SQL for querying large datasets Experience with batch and/or stream data processing pipelines Familiarity with cloud-based storage and compute solutions
Senior Business Operations Analyst
Bachelor's Level Degree preferred; relevant experience may be accepted in lieu of a degree Minimum of 5 years of relevant experience in business operations or analytics Proficient in SQL for data extraction, analysis, and reporting Familiarity with Python...scripting for data automation and process improvement Proven ability to articulate business needs and collaborate across technical and operational teams
Senior Data Engineer
from the ground up Work with large, complex datasets using Python or Java and raw SQL Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders Required Qualifications 7+ years of experience as a Data...Engineer Strong skills in Python or Java for data processing Proficient in SQL, especially for querying large datasets Experience with batch and/or stream data processing pipelines Familiarity with cloud-based storage and compute (e.g., AWS, GCP)
Associate Data Scientist
extract insights and design machine learning models for business use cases Support the development of generative AI prototypes and communicate findings to stakeholders Required Qualifications Practical experience in predictive modeling, AI/ML, and data...analysis Expertise in Python, SQL, and related data science tools Experience with Google Cloud & Vertex AI platform Bachelor's or Master's degree in a related field (e.g., Computer Science, Statistics, Mathematics) Familiarity with APIs and knowledge
Senior Data Engineer
performance Develop and manage data models and transformations using DBT Required Qualifications 6+ years of experience as a Data Engineer or in a similar data-focused role Strong knowledge of Snowflake and Domo Hands-on expertise with SQL and Python...Understanding of the complete data analytics stack and workflow Strong skills in databases, data warehouses, and data processing
Machine Learning Engineer
solutions align with business goals and enhance operational efficiency Required Qualifications Graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research, or equivalent experience Strong programming skills in Python...and proficiency in data manipulation (SQL, Pandas) and machine learning tools (scikit-learn, XGBoost, Keras/Tensorflow) 1-2 years of industry experience using machine learning with large datasets (preferred) Knowledge of deep learning frameworks and
Senior Data Scientist
quantitative field 5+ years of industry experience as a Data Scientist, focusing on payments, fraud detection, or risk mitigation Deep understanding of probability and statistics, including causal inference and experimental design Proficiency in SQL and Python..., with experience in data querying, manipulation, analysis, and model deployment Strong understanding of predictive modeling and customer segmentation techniques
