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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
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Experience with big data technologies (e.g., Ray, Kubernetes, Hadoop, Spark) and data warehousing solutions (e.g., Google Cloud and BigQuery). Strong knowledge of raster data and processing, such as OpenCV, Pillow, SIMD, BLAS.
$110,500 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are seeking a highly skilled engineer with expertise in Linux administration and experience with Big Data technologies, particularly Kafka, Trino, and Elasticsearch. As a Big Data Systems Engineer, you will play a critical role in ensuring our data infrastructure is robust, scalable, and reliable.
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As a Staff Data Engineer on Procore's Enterprise Data Services team, you'll design and develop big data predictive analytics data products. Lead the design and development of big data predictive analytics using object-oriented analysis, design and programming skills, and design patterns.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years of experience managing big data platforms using Kafka, Spark, AWS services (S3, EMR, RDS, Redshift, etc), Databricks, Snowflake, Airflow, Kubernetes, Docker. Udemy's Data org is looking for a highly experienced, self-driven, creative data platform engineer passionate about building a self-service platform that would help democratize Data, AI & ML across all the organizations inside Udemy.
$172,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Big Data: Hadoop Architecture, Map Reduce, Apache Spark Framework, Spark Batch, and Stream Processing jobs. Master's degree in Computer Science or related field and 1 year of experience in the job offered or in a Sr. Data Engineer-related occupation.
$149,282 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with AWS Big Data Technologies (AWS Glue, EMR, Athena, Ec2, Redshift and S3 etc.) Experience working with Open-Source Big Data tools (Hadoop, Spark, Hive, Presto and etc.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Big Data Engineer (Backend/Architecture) Big Data – No - 2-5 Years - Is Required. Data Engineering – No - 5-10 Years - Is Required. Big Data Engineer (Backend/Architecture.
$70 - $75 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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Looking for Big Data Engineer profiles who is strong and having good hands-on experience in Spark/PySpark, Scala/Python and SQL. Title: Big Data Engineer (PySpark, SQL and Scala/Python.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). Have 7 or more years of professional experience as a Data Engineer/Architect in a fast-paced environment.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proven experience in data conversion and report building using Snowflake and SAS Viya. Data Transformation and Integration: Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R.
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Engineer solutions to harvest metadata, lineage, and logic from on premise and cloud systems for data governance tools (such as Informatica, Alation, or Collibra ) Familiarity with big data technologies (e.g., Hadoop, Spark , AWS, Azure, GCP.
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Good to have to big data technologies Apache Spark, Kafka, Delta Lake. Title: Data Engineer. Data warehousing concepts. Good to have to big data technologies Apache Spark, Kafka, Delta Lake.
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big data engineer jobs Title: data engineer in Texas, TX
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