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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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A doctorate in epidemiology, biostatistics, public health, medicine, health policy, bioinformatics, data science, informatics, or a closely related field; Our department has primary responsibility within UCSF for delivering training in the methods of epidemiology, biostatistics, health data science, public health, and health services research.
$342,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Companies such as BMW, Delta Airlines, Resolution Life Insurance, and Fannie Mae use Vendia to automate contextual and compliant data flows between any-to-any systems for a harmonized, accurate view of data that unlocks speed, innovation, and cost savings.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Preferred Qualifications Experience with enterprise data warehousing, tooling, data visualization including Snowflake, DBT, Tableau. As an Enterprise Data & Analytics Product Owner on the Business Transformation Team, you will collaborate with cross-functional stakeholders and the Data Engineering team to build and optimize data models that enable teams across Sales, Customer Success, Product, Finance, and HR to achieve operational excellence.
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As we continue to expand, we are seeking an experienced Principal Data Engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving innovation and leading the technology strategy for modern data platforms across data warehouse, tooling, integrations, and AI/ML. You will collaborate with cross-functional leaders to deliver impactful data solutions that directly influence our business outcomes.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required. You will dig into the minds of today’s top practitioners in data science, artificial intelligence, and/or machine learning, to help them develop courses that are highly applicable, practical, and engaging.
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Advanced skills in big data technologies like Hadoop, Hive, Sqoop, Python, Spark, Presto, Apache Zeppelin, Ranger, Kafka. Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processes utilizing various technologies such as Spark, Kafka, Python, Airflow, Glue, Elastic Search, Lambda, and EMR.
$190,300 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Build, improve and maintain Brex’s data platform and infrastructure: data warehouse & analytics (Snowflake), data streaming (Kafka), replication (CDC) and materialization (Flink), data jobs orchestration (Airflow), data observability, access & governance.
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Strong understanding of data architecture, data warehousing, and ETL processes (e.g., Azure Data Lake Storage, Azure Synapse, Fabric, Databricks, Snowflake, FiveTran, dbt, etc.) Proficiency in data platform technologies (e.g., Snowflake, Databricks), programming languages (e.g., SQL, Python, Spark), cloud platforms (e.g., Azure, AWS, GCP), Git repositories (e.g., Azure Dev Ops, GitHub), and governance platforms (MSFT Purview.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Extensive outside Sales experience in a technical sales environment, ideally from the integrated security, networking/data cabling and/or commercial audio-visual industries. Own the creation of your annual sales plan and develop your strategic approach for your market to increase sales in all company service offerings including integrated security, networking/data cabling, and/or commercial audio-visual.
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Knows our tools and has used data platforms with SQL endpoints (Databricks, Snowflake), data visualization software (Tableau, Looker), and sales automation tools (Salesforce, Pardot). From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected.
$189,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Diagnostics is creating a data analytics and science team to generate Client insights and real world evidence (RWE) from real world data (RWD) that contain lab results generated by DHR Dx OpCo instruments linked to patient medical records.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You have a deep understanding of the modern data landscape (e.g. Snowflake, Databricks, AWS, GCP, dbt) and have built or used API products. 3-5 years experience in Product Management, or in a data-centric role (e.g. data engineer, data scientist, data analyst) which requires similar skills.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
data job Company: Jooble in San Francisco, CA, Us
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