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Senior Level Remote Python Database Sql Jobs
Senior Software Engineer
Qualifications Bachelor's degree in Computer Science or equivalent work experience 3-5 years of experience in software design and development using the Microsoft technology stack Strong experience in C# and ASP.Net MVC Good knowledge of relational database...concepts, including SQL queries and data modeling Working knowledge in HTML, CSS, JavaScript, and Angular
Senior Data Engineer
engineering experience Expert-level SQL proficiency with complex query optimization Proficiency with major database platforms (SQL Server, MySQL, PostgreSQL) Strong experience with NoSQL databases (MongoDB, DynamoDB, Redis) Experience with cloud...database services (AWS RDS, Azure SQL, Google Cloud SQL)
Senior Digital Marketing Analyst
Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field preferred, or 5-7 years of equivalent professional experience Experience in a corporate environment, ideally within a marketing department Proficient in SQL..., Python, and/or R for data analysis and modeling Hands-on experience with analytics platforms like Google Analytics and data visualization tools such as Power BI Highly skilled in Microsoft Excel and Google Sheets for data manipulation and statistical
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Senior Manager of FP and A
related field; MBA preferred 3-5+ years of progressive finance experience, with at least 2 years in FP&A or strategic finance roles Strong technical knowledge of financial modeling, forecasting methodologies, and business analytics Proficiency in SQL..., Python, or similar tools for data analysis and automation Experience with implementing or utilizing AI/ML solutions in financial analysis
Senior Data Analyst
experiments for product optimization Required Qualifications 5+ years in a data-intensive analyst role at a technology company Sound knowledge of analytical and statistical methods Expertise in dashboarding tools (Tableau preferred) and experience with Python.../R Fluency in complex SQL queries and experience with big data sets Collaborative problem-solving skills with a results-oriented mindset
Data Scientist, Risk Management
Mathematics, Computer Science, or a related technical field, or in Criminal Justice, Economics, or Business 5+ years of relevant experience, or a master's degree with 3+ years of experience Familiarity with fraud/risk management and payments Proficiency in SQL..., Python, and Looker Experience in building and implementing machine learning models
Senior Data Engineer
build data products for member organizations Mentor junior engineers and support members in understanding systems and new data engineering approaches Required Qualifications 3+ years of relevant data engineering experience Deep familiarity with Python...and SQL, and comfort with GCP or other cloud platforms 1+ years of demonstrated leadership with technical teams or projects Dedication to Company organization's mission and impact Experience with common open source software packages for ETL/ELT is preferred
Senior Data Engineer
APIs for efficient data movement and transformation Establish architectural standards and mentor other engineers on best practices Required Qualifications 4+ years of experience in data engineering on cloud platforms, preferably GCP Expertise in SQL...and Python, with a focus on data modeling and optimization Experience with modern data stack tools such as Airflow, dbt, and Dataflow Familiarity with data platform operations, including containerization and CI/CD pipelines Understanding of modern
Senior Data Analyst
review, and forecast complex data while managing incoming requests Develop and implement strategic business solutions through data analysis Required Qualifications: 5+ years of experience as a Data Analyst 5+ years of experience with relational databases...and SQL 3+ years of experience with Power BI and Python Experience in analyzing business processes and workflows Proficiency with MS Office Suite (Word, Excel, & PowerPoint)
Senior Product Manager
related experience, ideally in data platforms or enterprise data systems Strong understanding of data ingestion, normalization, and governance workflows Adept at collaborating across technical, legal, and operational domains Familiarity with APIs, databases..., and basic SQL Experience building internal tooling or platforms for data or operations
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