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Masters / Some College Remote Python Database Sql Jobs
Data Engineer
integrity, lineage, and governance across systems Required Qualifications Bachelor's or Master's degree in Computer Science, Finance, or related field 5-7 years of experience in data engineering, preferably in financial services Strong proficiency in Python..., SQL, and data modeling Hands-on experience with cloud platforms (AWS, Azure, or GCP) Experience with Kafka, Spark, Airflow, or similar tools for data orchestration
Senior Data Analyst
experience as a Data Analyst with a focus on data analysis, automation, and visualization Experience with advanced modeling techniques, including machine learning and time-series forecasting Proficiency in data mining and algorithm development using Python..., SQL, and Spark Experience integrating cloud-based solutions using AWS and Azure for scalable workflows
Principal Data Engineer
specifications and data pipelines Required Qualifications Bachelor's or master's degree in computer science, engineering, or a related field 6-8 years of experience in data engineering, focusing on financial systems on SaaS platforms Deep expertise in Python..., SQL, and distributed processing frameworks like Apache Spark and Databricks Proven experience with cloud-based data platforms (preferably AWS or Azure) Strong understanding of data security, privacy, and compliance within a financial services context
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Data Science Manager
and governance Required Qualifications Bachelor's or Master's degree in Data Science, Finance, Economics, Statistics, or a related field 5+ years of experience in data analytics, with at least 2 years in a managerial role Strong proficiency in SQL..., Python, and data visualization tools Experience with financial and operational data Familiarity with cloud data platforms and machine learning techniques
Senior Analyst Model Validation
Required Qualifications Master's degree in economics, mathematics, finance, statistics, risk management, computer science, or related field required 3+ years of experience in quantitative model development or validation Intermediate knowledge of Python...or R and SQL required Familiarity with regulatory guidance in the model space Knowledge of applied statistics and advanced modeling techniques
Senior Analytics Engineer
Engineering, or a related field 7 years of total experience in data, with 5+ years in analytics engineering, data modeling, or BI/data architecture Hands-on experience with DBT and Snowflake, with multiple production projects Proficiency in complex SQL...and Python, with a strong understanding of dimensional modeling and analytics-ready data design Experience with Power BI, including DAX and semantic model design
State Licensed Analytics Director
, HCPCS, CPT, ICD-10, DRG, NDC) Proven track record in managing and growing client relationships Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, or related field; ASA credential required Advanced technical skills in SQL...and Python preferred
Data Curator Engineer
experience in cheminformatics libraries and topics Strong knowledge of molecular descriptors, Company targets, and chemical/biological informatics techniques Experience working in a structured collaborative data and software development environment (git, SQL.../Postgres, python notebooks)
Senior Data Scientist
studies Required Qualifications MS in statistics, mathematics, data science, or an advanced degree in life sciences Experience with large datasets, preferably healthcare data Experience working at a CRO or Pharma company is essential Proficient in SQL...and R/Python Hands-on experience with EMR/Health data and clinical data standards
Data Architect
architecture Required Qualifications Bachelor's degree in computer science, engineering, information systems, or related field plus 7 years of experience, or a Master's degree plus 5 years of experience Experience with advanced data engineering, database...design, data modeling, and SQL Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka) Solution architecture experience in translating business needs into project deliverables Ability to lead reverse
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