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Lead the development of effective and scalable methods to automate the extraction of data and generation of applicable site performance metrics. The Data Analyst is a regular, full-time position, and is eligible for our generous employee benefits package, including employer paid health insurance, paid time off, a 401(k) plan with employer matching contributions, and other great benefits.
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Position Overview: We are looking for a proficient Data Analyst with experience in SQL, Microsoft Power BI, eClinicalWorks, and IBM Cognos to join our dynamic team. Utilize eClinicalWorks to integrate and analyze electronic health records (EHR) data, ensuring compliance with healthcare regulations.
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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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Additionally, you will act as the post-sale technical lead for Data Cloud, leveraging your expertise and technical credibility to engage and communicate effectively at all levels within an organization.
$165,060 - $242,830 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. Proven experience (3+years post graduate) as a Sr. or Lead Data Scientist in a fast-paced, commercial environment.
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This is a hybrid role that requires the ability to work with data engineering / Data science projects. Lead data engineering efforts, including designing, and implementing data pipelines and data transformations.
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15%) Serves as resource data analyst/consultant and provides scientific/technical expertise to the VFC program and other areas in DSHS, other agencies, and/or the public in matters related to epidemiology and Biostatics.
$5,167 - $6,815 a monthFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with data visualization and dashboarding technologies (e.g. plot.ly, Dash, Streamlit) Data engineering experience collecting, curating, managing and monitoring large timeseries data.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5 years of key skill set: Azure data services, Databricks, Snowflake, Modern data platforms, AI/ML, Git. Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLFlow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. 5 years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server.
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You will design, develop and automate secure, robust, and high-performing data platform solutions to drive CAIS business growth using Python, Kotlin, Snowflake, DBT and Kubernetes. Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
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As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.
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Role Overview: As the Venture Capital Data Analyst, you will play a crucial role in supporting investment decisions, portfolio management, and strategic initiatives through data-driven insights and analysis.
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You will work with product owners, architects, developers to build real time/ near real time scalable data integration solutions to enable our Data & Analytics platform in providing relevant, timely and accurate data to self-service BI tools, web platforms via APIs and Data science tools.
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data job Title: data science lead quantitative analyst in Austin, TX
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