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Experienced Remote Python Data Jobs
Machine Learning Engineer
4+ years of experience in data engineering, software engineering, machine learning, and/or LLM Quantitative educational background Experience working with technical and business stakeholders to define system requirements Proficiency in SQL and Python...for data analysis and machine learning Familiarity with multiple stages of the machine learning lifecycle
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)
Research Analyst
in live discussions about projects Required Qualifications 1-3 years of experience as a Research Analyst/Associate or Data Engineer in crypto or TradFi Strong data skills with familiarity in crypto metrics and data sources Knowledge of SQL and Python...for data manipulation Practical experience interacting with crypto protocols Ability to work productively in a remote environment
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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 Engineer
transformation workflows using tools such as Pandas and Apache Spark Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models Required Qualifications: 3+ years of hands-on experience with SQL and Python...in data engineering or analytics roles Experience with data transformation tools/frameworks such as dbt, Pandas, and Apache Spark Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks) Solid understanding of ETL/ELT processes and pipeline
Data Scientist, Privacy
high-quality reports summarizing findings and contribute to research activities on re-identification risk Required Qualifications Good understanding of statistical probability distributions, bias, error, and power Familiarity or proficiency with R or Python...for data analysis Experience in applying scientific methods to practical problems through experimental design and hypothesis testing Appreciation of effective methods in data privacy and security, with awareness of relevant legislation Familiarity
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 focusing on 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
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
Senior Product Data Analyst
Build and maintain data models that support reporting and analytics while ensuring high standards for code quality Required Qualifications 3-5+ years of experience as a data analyst or product data scientist Strong technical skills in SQL, dbt, Python..., and data visualization Ability to connect analytics to business understanding and provide actionable insights Experience navigating ambiguity and piecing together solutions Product-focused mindset to maximize utility and value for end users
Data Engineering Lead
lifecycles Implement data quality frameworks to ensure accuracy for analytics and reporting Required Qualifications 10+ years of experience in data engineering, with at least 3+ years in a lead role 4+ years of solid SQL experience and proficiency in Python...for data transformation 3+ years of experience with Azure Data Factory, building complex pipelines 3+ years of experience with Snowflake, including data modeling and performance tuning 3+ years of experience with CI/CD pipelines using GitHub Actions
