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Our Opportunity:Chewy s Data Analytics team has an exciting opportunity for a Senior Data Engineer (Data Engineer III) to join the pack. Compensation & Benefits:Our salary range for a Data Engineer III position is $134,500.00 - $215,000.00.
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We are seeking a highly skilled Senior Data Engineer with expertise in Snowflake, Matillion, DBT, and the Microsoft Data Stack to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and ETL processes, as well as providing technical leadership and mentorship to junior members of the data engineering team.
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Job Title: Data Engineer. Proficiency with Databricks, Terraform, Data Streaming, DBT, RBAC (Role Based Access Control) a strong plus. Experience in cloud data engineering (S3, RDS, Redshift.
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Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc. You will develop complex data engineering solutions using AWS technology stack (S3, Glue, IAM, Redshift, Athena.
$139,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Engineer builds the infrastructure required for efficient extraction, transformation and loading of data from a wide variety of data sources using SQL, Python, Perl, Java, Scala, Kafka, Azure, and AWS technologies.
$110,400 - $149,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This role requires deep integration with our Product, Project Management, and Design teams to ensure success and will work closely with our talented team of backend, frontend, analytics, and machine learning engineers as you launch innovative new data features, products and infrastructure.
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Oversight on Deploy Data Loss Prevention (DLP) solutions focusing on PII and PCI related data that may be in SaaS applications (e.g. GWork, Jira, Confluence, Salesforce, ServiceNow). Implement endpoint state attestation tooling to ensure security configurations (e.g., OSquery, FleetDM, nanoMDM, JAMF, Okta Verify, SentinelOne, Crowdstrike.
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Software Engineer, Foundation Model Data Infra Bellevue, Washington, United States Mountain View, California, United States. Hands-on experience in building large scale data processing and retrieval systems and pipelines: Apache Spark, Apache Beam, Google Cloud Dataflow, AWS Data Pipeline, Faiss, etc.
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Develops technical tools and programming that leverage available technologies (e.g., artificial intelligence, machine learning and big-data techniques) to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
$104,000 - $157,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in data analysis tools (e.g., as Python, R, SQL) and data visualization tools (e.g., Tableau, Superset, Looker). Collaborating with engineering and data science leads to improve data quality, building data warehouse, and delivering predictive models for marketplace insights and anomaly detection.
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We are seeking a Senior Data Engineer with expertise in Azure and Databricks technologies to support our Data Science and Analytics (DSnA) initiatives at the client location. Job Title: Senior Data Engineer - Azure + Databricks.
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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
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As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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data job Title: engineer in Bellevue, Fredericksburg, Virginia
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