Filters Applied
Clear AllInformation Technology Remote Python Linux Sql Jobs
Senior Data Scientist
experience, or Master's degree and 5+ years of related experience Significant experience in data science roles within cloud environments (preferably AWS) Hands-on experience with Databricks, JupyterHub, MLflow, and AWS tools Strong proficiency in Python..., SQL, R, and Spark Experience working in regulated or government environments
Senior Data Scientist
years of experience or Master's degree with 5+ years of experience Significant experience in data science roles within cloud environments, preferably AWS Hands-on experience with Databricks, JupyterHub, MLflow, and AWS tools Strong proficiency in Python..., SQL, R, and Spark Experience working in regulated or government environments and must be eligible for Public Trust clearance
Principal Data Engineer
engineering with at least 3 years in a principal or lead role 2+ years of experience in Cloud Platforms (Azure, AWS) 2+ years of experience in Data Engineering (Databricks, Snowflake, Spark, Hive, Airflow, ADF) 2+ years of experience in Programming (Python..., SQL, PySpark)
- FREE TOOLSUnlock Expert Career Tools
Register free for worksheets, guides, and on-demand coaching to support your job search.
Senior Data Engineer
Engineering, Computer Science, Mathematics, or related field 7+ years of experience in Data or Analytics Engineering Expert in SQL and data modeling, with experience in data warehouse design Experience with AWS and cloud data technologies Proficient in Python...and Unix/Linux scripting
Senior Data Engineer
Key Responsibilities Design, build, test, and implement scalable data pipelines using Python and SQL Maintain and optimize performance of the Snowflake data warehouse, including data ingestion and query optimization Extract data from APIs using Python
Data Engineer
pipelines for data acquisition Standardize disparate datasets into coherent schemas and design custom AI agents for workflow automation Required Qualifications Strong experience with analytical environments like Pandas, R, or Matlab Proficient in Python...and SQL for building tools that streamline data access Experience with time series data and its associated challenges Familiarity with tools like Docker and Linux CLI Background in a quantitative or data-rich domain such as finance or gaming
Bioinformatics Scientist II
medicine applications Required Qualifications Ph.D. in Mathematics, Bioinformatics, Computational Biology, or a related field Strong experience in machine learning and AI, particularly in deep learning for biomedical applications Proficient in Python...and SQL, with experience in ML frameworks and code versioning Familiarity with genetic variant standards and clinical data ontologies Demonstrated success in applying AI/ML to biomedical datasets
Senior Data Scientist
Key Responsibilities Design, develop, and deploy machine learning models for predictive analytics and personalized patient care Build scalable ETL pipelines using SQL and Python to process large healthcare datasets Lead initiatives in Generative AI...to enhance patient communications and clinical documentation Required Qualifications 5+ years of experience in data science or advanced analytics, preferably in healthcare or life sciences Expertise in SQL and Python for data wrangling and modeling
Staff Data Engineer
experimentation speed with operational excellence Establish architectural and data quality standards across multiple teams Required Qualifications 6-8 years of experience in architecting enterprise-scale data platforms in cloud environments Expertise in Python...and SQL with experience in data modeling and optimization Proven experience with modern data stack tools such as Airflow, dbt, and Beam/Spark Familiarity with containerization, CI/CD pipelines, and data governance frameworks Strong understanding of
Data Analyst for Fleet Operations
insights to stakeholders Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field 3+ years of experience in data analysis, machine learning, or AI model development Proficiency in Python..., R, SQL, or equivalent tools for data modeling and analysis Experience with data visualization tools (e.g., Power BI, Tableau, or similar) Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, or GCP)