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3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or. NAVA Software solutions is looking for a Big Data Engineer.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics.
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Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
Full-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience driving big data, data warehouse, and data analytics cloud implementations. Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Data Migration Strategy, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. Azure OpenAI, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Microsoft Fabric, Power BI, etc.
$129,200 - $268,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Clients come to us for our deep experience with Big Data, Containerization, Serverless Infrastructure, Microservices, IoT, Machine Learning, DevOps and more. Hands-on experience with message queuing, stream processing and highly scalable ‘big data’ stores.
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
$65 - $70 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
Full-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Client Corporation is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Using big data analytics and warehouse tools (Snowflake, Databricks, Palantir etc) Relevant Post graduate degree (MS, MBA, PhD) preferred ( ie Marketing sciences, data science, applied statistics, etc) and/or certification in data science: Google, IBM, DASCA, etc.
$74,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Experience with data modeling, data warehousing, and ETL pipeline development. Partner with data scientists and machine learning engineers to evolve, optimize, and integrate critical predictive models.
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big data jobs in Atlanta, Fernley, Nevada
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