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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
$132,500 - $197,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our data engineering team is also responsible for quality curation of data to ensure our products You will be joining a talented, fully remote Data Science, Engineering and Analytics team that handles a wide range of requests including customer data processing, weekly report automation, new product development and complex data integration.
$120 - $150 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Integration Engineer at Riskified, you will be using technical skills, analytical insights, and business perspective to ensure we have the most accurate and complete data from each client to feed our data science models.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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AI Integration: Contribute to the integration of AI and machine learning algorithms into the platform, providing data-driven insights and predictive analytics. Requirements:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field from a Top-25 CS programProven experience as a Front-Office developer working on electronic trading platforms with specific exposure to SOR, DMA, Dark Pool Liquidity, and algorithmic execution.
Starting at $200,000 - $650,000 a year (bonuses)ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A Process Integration Engineer will lead the manufacturing and process development of III-V laser products. · MS or PhD in Electrical Engineering, Materials Science, Physics, or related fields.
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Requirements Bachelor’s or master’s degree in computer science, Information Technology or related field Experience with web development, API integration and database management using technologies like Angular framework/React/Blazer, SQL server, SSIS/SSRS, etc.
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Required Skills:Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science, or a related quantitative field, or equivalent work experience.
$135,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced proficiency in Python (data manipulation and integration tasks) and SQL. The ideal candidate will be proficient and resourceful across a wide range of data engineering skills - including cloud infrastructure, software development, data orchestration, data warehouse design, and CI/CD. In this role, you will collaborate externally with engineering and product teams to capture and transform required data, and internally with analytics engineering and data science teams to support the launch of a broad range of data projects.
$150,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Experience with integration of cloud provider services including Azure OpenAI services, AWS Bedrock, or GCP Vertex. Work on design and implementation of best practices for Vector DB architecture, including data modeling, entitlements, indexing, and query optimization.
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Must have five (5) years of experience with: ETL processes and tracing dataflows through complex DAGs. Must have four (4) years of experience with: building robust data models using SQL or Python; Git, Github, dbt, SQL, Python and modern BI tools (Looker or Tableau); and data warehouse design in a cloud environment such as Redshift, Snowflake, BigQuery, or AWS.Qualified Applicants: Apply online at.
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You will be instrumental in developing full-stack solutions for our ML products and prototypes in a world class AI ML team while working alongside well-known experts and researchers in AI ML modeling, ML engineers and data science and data engineering teams.
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As an associate Data Integration Engineer, you will be a part of a strong energetic and fast-growing global team. Work side by side and support the Data Science and Customer Success teams in order to meet customer business needs.
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The 5 years of experience must include 5 years of experience with each of the following: (1) optimizing SQL queries for data lake and data warehouse structures; (2) AWS cloud services and technologies; (3) building and shipping products and services; (4) Apache Spark, Scala, Python, and SQL; (5) designing and implementing low latency data pipelines using Spark structured streaming; (6) integration tools including Fivetran; and (7) reporting tools, including Tableau and Looker.
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Services include Data Discovery and Analysis, Data Prep and Integration, Self-Service Analytics, Data Visualization and Reporting, Data Science and Advanced Analytics, and Strategy Enablement.
ExpandApply NowActive JobUpdated 9 days ago
data science integration jobs Title: engineer in New York, NY
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