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Information Technology Remote Python Data Jobs

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  • Senior Data Engineer

    Key Responsibilities: Design, build, and maintain scalable data pipelines using Python, SQL, and Spark/Spark SQL Collaborate with teams across Technology, Algorithms, and Products to innovate and refine data strategies Manage projects, including estimating

    Python SQL Spark SQL Data Pipelines
  • Machine Learning Engineer

    optimization of ML solutions Required Qualifications Bachelor's degree or higher with relevant coursework or internships in Machine Learning Experience with advanced machine learning methods Strong statistical knowledge and experience modeling real data...Expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow) Publication(s) in top-tier journals and conferences in the ML domain (optional)

    Machine Learning Data Discovery Speech Recognition Entity Linking
  • Principal Data Scientist

    with stakeholders to propose data science projects and communicate data-driven insights effectively Required Qualifications Master's degree in Data Science or a related field 5 years of experience as a Data Scientist Proficiency in SQL, R, and Python...programming languages Experience with data manipulation and analysis libraries like Pandas, NumPy, and Scikit-learn Demonstrated proficiency in visualization tools such as Streamlit, Tableau, and R-Shiny

    SQL R Python Machine Learning
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  • Data Engineer

    Key Responsibilities Build and maintain scalable data pipelines using Python, SQL, and SPARK/SPARK SQL Participate in collaborative innovation sessions with Technology, Algorithms, and Products Teams Estimate engineering efforts, prioritize projects

    Python Spark Spark SQL SQL
  • Research Analyst

    quality assurance processes to ensure the completeness and accuracy of workbooks Required Qualifications 5-10 years of experience in data operations or relevant fields leading large-scale global projects Practical experience with SQL databases and data...analysis tools (e.g., SQL, Python, Excel) Bachelor's degree in data analytics, government, or a related field

    SQL Python Excel Data Analysis
  • Data Analyst

    Qualifications 3+ years of experience in a Data Analyst, Data Engineer, or Analytics Engineer role Strong proficiency with BigQuery and SQL for large-scale data analysis Hands-on experience with dbt for modeling and transformation workflows Proficiency in Python...for data manipulation and pipeline development Experience with BI tools for dashboarding and exploratory data analysis

    Data Analyst Business Intelligence KPI Dashboards Exploratory Analysis
  • 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
  • Elastic Engineer with Secret Clearance

    degree in Computer Science, Engineering, or a related field; or equivalent experience 5+ years of hands-on experience with the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) Proficiency in Linux systems administration and scripting (Bash, Python...Experience with secure data ingestion and log management in enterprise or federal environments

    Elasticsearch Logstash Kibana Beats
  • Healthcare Systems Analyst

    comply with healthcare regulations and monitor adoption metrics Qualifications: 3+ years as a Systems Analyst or Business Analyst in healthcare, insurance, or life sciences with AI/ML exposure Hands-on experience with AI/ML platforms and healthcare data...standards Proficiency in SQL, Python, or R for data analysis and system integration Knowledge of cloud-based AI services and familiarity with Agile methodologies Certifications in AI/ML or healthcare IT are a plus

    AI ML Predictive Analytics NLP
  • Senior Data Analyst

    Qualifications Master's degree in Data Analysis or a related field 5+ years of hands-on data analysis experience after earning the degree Strong expertise in data profiling, validation, and quality assurance Experience working with structured transactional data...Proficiency with Python and Git for data tasks and collaboration

    Data Profiling Data Cleansing Data Validation Exploratory Analysis