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Permanent Remote Python Data Jobs
Principal AI Engineer
Key Responsibilities Design, develop, and optimize AI models for various applications Implement and deploy AI solutions on a cloud platform Research and experiment with cutting-edge AI technologies Required Qualifications Experience with Python...for data preprocessing and model development Full understanding of the software development life cycle Ability to lead, mentor, and motivate team members Strong commitment to understanding client expectations Flexibility to adapt within a high-growth
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
Data Systems Engineer
workflows and surface actionable insights Oversee data infrastructure, ensuring reliability, monitoring, and incident response practices Required Qualifications At least 6 years of experience in engineering or software development Expertise in Python...and SQL for data engineering and systems development Experience with web application backends (Python/Flask/Django or Node.js) Familiarity with columnar database systems like BigQuery or Redshift Comfortable in a git-based team environment with collaborative
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Data Engineer
Collaborate with data professionals to enhance data observability and documentation Required Qualifications 3+ years of experience in a Microsoft environment using tools like Databricks and Azure 3+ years of experience in software development or data...engineering with Java, Python, and SQL Familiarity with data lakes, data lakehouses, and the modern data stack Experience with Agile development methodologies and database modeling Prior knowledge or experience in healthcare analytics
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 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
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 Manager, Cyber Defense
into the SIEM system Required Qualifications: Experience leading or managing a technical team in a cyber defense discipline Broad understanding of information technology and cyber security concepts Experience with programming languages such as Python...and data query languages A degree in Computer Science, Cyber Security, or related field is preferred Experience with IaaS cloud providers and CI/CD pipelines is preferred
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
