Top Remote Data & Analytics Jobs in San Diego, CA
The Senior Data Engineer will develop and maintain data frameworks and systems for analytics, focusing on data acquisition, validation, and loading. Responsibilities include building machine learning pipelines, ensuring data quality, and integrating systems with GCP and BigQuery.
The Digital Asset Markets Analyst will monitor digital asset markets and the Aptos DeFi ecosystem, analyze competitor dynamics, track key strategic partnerships, and report actionable insights to leadership. They will work with various third-party data sources to evaluate market metrics and trends.
The Lead Data Engineer will analyze complex datasets and develop predictive models to drive business decisions. Responsibilities include designing statistical models, recommending technologies, mentoring engineers, and implementing large enterprise data solutions in an Agile environment.
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As a Data Engineer at Lonely Planet, you'll build and maintain ETL pipelines, collaborate on data solutions, optimize performance, and ensure data integrity while supporting machine learning and analytics efforts.
The GCP Data Engineer will design and maintain large-scale data infrastructure, migrate data from Teradata to GCP, develop data pipelines, and optimize data processing for analytics and applications. Responsibilities include collaborating with teams, ensuring data quality, implementing security measures, and documenting processes.
The Principal Data Engineer will design, develop, and maintain ETL pipelines for data acquisition and transformation. Responsibilities include collaborating with teams to understand data needs, utilizing AWS Glue, optimizing ETL processes, and applying data governance practices. The role requires strong technical skills in Python, Spark, and SQL, along with experience in data matching and analytics.
As a Quality Assurance Analyst at Abarca, you will optimize testing and monitoring activities to ensure system quality, develop and execute test plans and cases, document results, and track issues. You will guide other QA Analysts, lead improvements, conduct peer reviews, and participate in new client implementations, ensuring compliance with regulatory guidelines.
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The Analyst I will monitor and support the post-fundraise reporting for private commercial real estate assets, focusing on data entry, analysis, and communication between sponsors and investors. Responsibilities include validating data accuracy, analyzing financial statements, and assisting in investor reporting and valuations.
As a Senior Analytics Engineer, you will build scalable data products, manage data transformations, define quality standards, and collaborate with various teams to enhance data-driven decision-making across the organization.
The Senior Billing Operations Analyst will manage tuition and revenue payment processes, ensuring accuracy and compliance. Responsibilities include managing billing workflows, analyzing data, resolving customer inquiries, and contributing to process improvements and compliance audits.
Top remote Companies in San Diego, CA Hiring Data + Analytics Roles
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