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Experience with stakeholder management, ETL, data pipelines, effective team communication, product management, data engineering, data management, master data management, agile, intelligence community, and client engagement.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Collaborating with various engineering teams, Data Science, product, and operations to develop one of the most innovative components of the product. Experience working with one of the following technologies database: ClickHouse, PostgreSQL, MongoDB, RedisExperience working with one of the following event streaming technologies technologies: RabbitMQ, Kafka, Amazon SQS,Work in a way that works for youFlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. computer engineering, information technology, java, machine learning, optical, photonics, programmer, programming, python.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
Part-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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4+ years of experience with distributed data/computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL. - 4+ years of experience working on real-time data and streaming applications.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Data Engineering – Real-time (Kafka, Databricks, ETL, data initialization) and Azure (certification desired) Project Overview: Implement patient master data management (MDM) solution.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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2+ years of related data science/statistical experience and 1+ years of software engineering or data engineering experience. Demonstrated experience with the following: Python, Cuda, Kubernetes, CI/CD. Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with designing and engineering data management / data persistence solutions; preferably with AWS services including RDS and Elasticsearch. BS in Computer Science / Engineering, Data Science, Information Technology or related field required, advance Degree is preferred.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery. The Data Platform team is responsible for ingestion of tens of thousands of events per second, data Lakehousing (Databricks), OLTP stores (Hbase, OpenSearch) and APIs. The customers of the Data Platform are the internal business units who use it for data engineering, AI/ML, and Business Intelligence.
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Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the intelligence community.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience in Data Engineering and modern warehousing technologies such as Snowflake. NET, SDLC (Software Development Life Cycle), Data Ingestion and streaming tooling such as Kafka, Spark, or similar technologies.
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Experience with distributed systems and high-throughput data analysis, e.g., Kafka, Hadoop, and Flink. Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc.
$130,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficiency in performance-related for technologies such as Java/Scala, Spark, Kafka, PostgreSQL, NoSQL, Microservices, Batch, Micro-Batch and Data Streaming Architecture. Understanding of various performance metrics and KPIs for RDBMS, NoSQL, Kubernetes and Spark Data Engineering Engine.
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Bachelor’s Degree in a relevant field such as software engineering, computer science, computer engineering, electrical engineering, data science, mathematics, or aeronautical engineering.
ExpandApply NowActive JobUpdated 5 days ago
data engineering kafka jobs in Washington, DC
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