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Remote Python Data Lending Jobs
Python Data Engineer
A company is looking for a Python Data Engineer to shape its data infrastructure and optimize data pipelines....Key Responsibilities Design, build, and optimize reliable data pipelines using modern tools Write clean, production-grade Python code for data transformation and integration Collaborate with data scientists and analysts to deliver trusted data products
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
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Data Analyst
maintain interactive dashboards and reports for stakeholders Analyze customer data and build predictive models to forecast growth Required Qualifications Strong analytical skills to interpret complex datasets Technical proficiency in Excel, SQL, and Python...for data manipulation Experience in data visualization tools like Tableau or Power BI Understanding of the real estate industry or relevant business context Adaptability and willingness to learn new tools and methodologies
Data Analyst
analytics teams on joint projects Required Qualifications 2+ years of experience in data analytics Strong command of SQL, including complex queries and nested subqueries Experience with BI tools, particularly Tableau, for dashboard creation and data...visualization Basic Python skills for data processing and visualization Solid understanding of statistics and experience with hypothesis testing
Voice AI Evaluation Lead
production and pre-release models on real-world datasets Collaborate with cross-functional teams to develop new evaluation methodologies Required Qualifications Experience designing and executing evaluation pipelines for ML models Proficiency in Python...and data analysis libraries Ability to develop automated evaluation systems and work with large-scale datasets Experience using LLMs for analysis or pipeline prototyping Proven success working cross-functionally with research, engineering, QA, and
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 web technologies and web analytics
Sales Commission Analyst
Required Qualifications Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's preferred) 8+ years of analytical experience in e-commerce, marketplace, or home services Strong proficiency in SQL and data...analysis tools (Python or R) Expertise in data visualization tools (Tableau, Power BI, or Looker) Experience developing and implementing sales and commission plans for large organizations
Business Intelligence Engineer
Qualifications 1-3 years of experience in a BI, data, or analytics role Experience with relational databases (PostgreSQL, MySQL) and writing performant SQL Familiarity with data visualization tools (QuickSight, Tableau, Power BI) Basic experience in Python..., scripting, or data transformation Exposure to data modeling and analytics engineering best practices
Senior Software Developer with Secret Clearance
Key Responsibilities Collaborate with an agile team to design, develop, and maintain a cybersecurity data visualization dashboard Develop backend applications using Python and build data pipelines for various data sources Containerize and deploy microservices
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