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Job Summary: We are seeking a talented and experienced Software Engineer to join our team at JLL. As a Software Engineer, you will be responsible for designing, developing, and maintaining software solutions that leverage Azure, Databricks, Azure Kubernetes, Microservices, and Data Pipeline using PySpark.
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The Lead solution architect typically requires seven or more years of technical experience across data engineering, data modeling, data governance. The Sr. solution architect typically requires five or more years of technical experience across data engineering, data modeling, data governance.
$248,700 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Key responsibilities for the Data Engineer I include: Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, Exposure to common tools and techniques for data engineering (e.g. Spark, Kafka, Storm.
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Familiarity with data engineering frameworks and tools (e.g., Apache Kafka, Apache Airflow). You will work closely with our engineering and data teams to diagnose bottlenecks, implement enhancements, and create a seamless data ecosystem.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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A minimum of 8 years of experience in the field of data engineering, particularly within GCP and the BigQuery architecture. Implement and uphold data governance frameworks to ensure data integrity, quality control, and security protocols across all data engineering processes.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At least 2 years of experience working in an academic or industry lab, with a proven track record of hands-on experience developing data engineering projects, databases, or data science tools.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines. Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development.
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As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform.
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Join our trailblazing global AI and Data Intelligence team as a Software Engineer specializing in Data Engineering. Experience : 5+ years in Software Engineering with a focus on Data Engineering.
$206,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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PowerBI less preferredMust Haves:Data warehousing fundamentalsAt least 1 cloud-based warehouse (Redshift, BigQuery, Snowflake)ETL (Python)Experience in ML Pipeline engineering. Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Familiarity with big data technologies, such as Hadoop and Apache Spark. The ideal candidate will have a strong background in cloud technologies, data processing, and building scalable and robust software systems.
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Bachelors or an advanced degree in GIS, environmental science, geology, geomatics engineering, geotechnical engineering, or related field with demonstrated GIS training or coursework. Understanding of remote sensing general principles and applications (e.g., LiDAR) and experience using derived data products (e.g., las dataset, DEM, DSM.
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The group is also chartered with continuing to develop state of the art analytical insights, tools, and assessments of new data and interpretation of existing data with emergent technologies in geosciences, geotechnical engineering, and seismic engineering.
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We're looking for experienced data scientists to work with our core product teams, who will take ownership of the team's data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing.
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Strong Technical Background: Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
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data engineering jobs in Oakland, CA
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