• Data Engineer

    Insight Global (Sacramento, CA)
    Job Description Data Pipeline Development Design and implement complex, scalable ETL pipelines using Azure Fabric, Data Factory, and Synapse. Build and maintain ... proficiency in SQL, Python, and PySpark. Experience with data warehousing, ETL /ELT, and data modeling. Familiarity with CI/CD, DevOps, and microservices… more
    Insight Global (08/21/25)
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  • Senior Data Engineer, Machine Learning

    Meta (Menlo Park, CA)
    …of ownership. 7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and ... and utilization 23. 2. Designing and building scalable data pipelines and ETL processes 24. 3. Proficiency in object-oriented programming languages such as Python,… more
    Meta (08/20/25)
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  • Director, Data Analytics and Engineering

    Palo Alto Networks (Santa Clara, CA)
    …for building and maintaining robust systems for data ingestion, transformation ( ETL /ELT), modeling, quality, and governance to ensure data is accurate, accessible, ... Expertise: + Hands-on experience with data modeling, data architecture, and ETL /ELT processes. + Proficiency in data science, with prior experience deploying… more
    Palo Alto Networks (08/19/25)
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  • Technical Analyst IV

    Motion Recruitment Partners (San Diego, CA)
    …future. **Required Skills and Experience:** + 8+ years of experience working on ETL /data pipelines to support analytics use cases - Advanced Python and SQL ... objectives and key deadlines **What You Will Be Doing** + Develop and maintain ETL pipelines from multiple distinct data sources using PySpark and SQL + Work with… more
    Motion Recruitment Partners (08/19/25)
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  • Capital Planning, Data Engineering Senior Advisor

    Southern California Edison (Pomona, CA)
    …investment decisions. This technical leader will design and build robust APIs and ETL pipelines that connect data across systems like Copperleaf, Palantir, and SPEED ... SnowPro Advanced, etc. + Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory,… more
    Southern California Edison (08/17/25)
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  • Product Manager

    DataVisor (Mountain View, CA)
    …highly valued. 2+ years of experience in integration with banking cores. ETL , Data Pipelines or related Technical Integration Experience: Experience in building or ... integration ETL and/or data pipelines. Any experience in data checking, SQL, database operations, SFTP, real-time REST API's is also valuable.. Agile Methodologies:… more
    DataVisor (08/16/25)
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  • Data Platform Architect

    SanDisk (Milpitas, CA)
    …standards. **Data Engineering & Platform Delivery** + Design and implement modern ELT/ ETL pipelines using tools like Spark, Python, SQL, Scala, and cloud-native ... with Python, SQL, Spark, and orchestration frameworks. + Experience with ETL /ELT tools (eg, Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes).… more
    SanDisk (08/15/25)
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  • Senior Data Engineer - Quality

    The Walt Disney Company (Santa Monica, CA)
    …CA + Seattle, WA + New York, NY **Responsibilities include:** + Validate ETL logic, business logic, and data quality in Snowflake, Databricks, and other data ... 5+ years of relevant experience + Strong experience validating data pipelines, ETL processes, and data warehouses in production environments. + Expert-level SQL… more
    The Walt Disney Company (08/15/25)
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  • Data Scientist- Cloudera

    CACI International (Riverside, CA)
    …distributed computing environments. **Responsibilities:** + Design and develop scalable ETL /ELT pipelines for structured and unstructured data using Cloudera Hadoop ... working with Cloudera Hadoop ecosystem (CDH/CDP) + Strong experience developing scalable ETL /ELT pipelines for various data types + Deep understanding of Cloudera… more
    CACI International (08/14/25)
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  • Data Engineer (Analytics)

    Meta (Menlo Park, CA)
    …of ownership. 7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and ... and use-case scenarios across a big data ecosystem 15. 2. Custom ETL design, implementation, and maintenance 16. 3. Object-oriented programming languages 17. 4.… more
    Meta (08/14/25)
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