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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.
$139,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams.
$165,600 - $224,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Master's Degree in Data Science, Analytics, Finance, Engineering, Mathematics, Computer Science, Business Administration, Health Administration, Public Health, Public Administration, or related discipline.
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Principal Technical Program Manager TPM, Scheduling, Execution & Disruption Intelligence (SXDI MMPO)
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We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. You will work with executive leaders, engineering, science and operations stakeholders to coordinate product launches, process improvement, generate ideas, validate entitlement and then direct a path to launch.
$159,300 - $275,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Frameworks Metadata Catalogs – DataHub, Informatica, Collibra (experience in any one is good) Data Quality Platforms – Anomolo, Informatica, BigEye (experience in any one is good) Event Platforms – Kafka, MSK Data Platforms – Palantir Foundry, Databricks, Snowflake (experience in any one is good but Foundry experience will be a bonus) Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
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Bachelor’s or master’s degree in business, accounting, finance, computer science, information systems, engineering, or a related discipline. 10+ years’ experience working as an IT risk or security professional managing a team and projects for a financial, healthcare, utility/energy organizations or professional services firm (Big 4 experience preferred.
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The Product Data Scientist (Sr. Lead, Customer Success) will leverage their Business Acumen, Data Science and engineering skills to build Advanced analytics processes, build operational process pipelines and finds and presents data-driven insights that help our clients solve their most important business problems and bring optimizations to life.
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5+ years of experience, including:Sales and Marketing domain expertise (must have)Designing and building complex data pipelines in large-scale data environmentsExperience with Sales and Marketing application integrationsFamiliarity with developing data products to drive data science and machine learning initiatives, particularly in the Sales and Marketing spaceProven track record of using big data to drive business impactExperience using Snowflake is a plus.
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Supervise the platform and data management capabilities that enable analytics, data engineering, and data science across the company. Expertise in RDBMS and Big Data environments such as Databricks.
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10+ years of experience including 3+ experience with big data systems, analytics, containerized microservices, serverless functions, and event-driven architecture. Master s or PhD degree in Computer Science, Computer Engineering, or related field.
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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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Currently enrolled in or completed a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields.
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Advance and operate the ETL platforms in a full DevOps modelOperate in an Agile development environment, including participating in daily scrumsSupport the team s engineering excellence by performing design reviews, code reviews and mentoring junior teammembersProvide on-call supportRequired Skills/ExperienceB.A/B.Sc. in Computer Science/Engineering with 8+ years of industry experienceExtensive experience building large scale distributed systems using cloud services (AWS, GCP , Azure, etc.
$176,800 - $296,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in using Spring Framework (Core, MVC, Integration and Data) Strong experience with SQL; in creating Data Models, Store Procedures, Views, Functions, and DB Scripts using relational database, preferably MS SQL Server.
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big data science engineering jobs in Renton, WA
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