576 to 600 of 847 Hadoop Jobs

understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

days/week. Must be willing/able to help open/close the workspace during regular business hours as needed. Preferred Qualifications: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. More ❯

customer site in Aberdeen Proving Ground, MD 5 days a week. Flexibility is essential to adapt to schedule changes if needed. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call More ❯

concepts of branching, merging, and tagging is essential. TS/SCI with polygraph or ability to obtain SCI and a polygraph Desired: Knowledge of distributed computing technologies like Hive, Hadoop and Spark Experience with integrating data from various sources such as web services, APIs and file systems Advanced understanding of database schemasPeraton offers enhanced benefits to employees working on More ❯

Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Compensation At IAMUS Consulting, we're building More ❯

Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Compensation At IAMUS Consulting, we're building More ❯

Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call More ❯

Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call More ❯

in the schedule. • Must be willing/able to help open/close the workspace during regular business hours as needed. Preferred Requirements • Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. • Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. Benefits More ❯

in Fort Meade, MD or in San Antonio, TX Must be able to travel CONUS up to 20% of the time Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Compensation At IAMUS Consulting, we're building More ❯

as well as programming languages such as Python, R, or similar. Strong experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) as well as familiarity with data technologies (e.g., Hadoop, Spark). About Vixio: Our mission is to empower businesses to efficiently manage and meet their regulatory obligations with our unique combination of human expertise and Regulatory Technology (RegTech More ❯

to flex if needed. Preferred Requirements Applicants must have or be willing to obtain a DoD 8140/8570 compliant certification (e.g., Security+) Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus We have many more additional great benefits More ❯

needs US citizenship and an active Secret clearance; will also accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal More ❯

needs US citizenship and an active Secret clearance; will also accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal More ❯

needs US citizenship and an active Secret clearance; will also accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal More ❯

days per week with ability to flex if needed. Work could require some on-call work, so being flexible is key. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus We have many more additional great benefits More ❯

Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus We have many more additional great benefits More ❯

Bachelor's degree Nice If You Have: Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Experience effectively managing teams and trusted client relationships Experience developing visually compelling PowerPoint More ❯

Kubernetes). Excellent problem-solving and stakeholder engagement skills. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field. Experience with big data tools (Spark, Hadoop). Familiarity with feature stores, model registries, and experiment tracking. Exposure to business domains like finance, healthcare, or retail analytics. Why Join Us? Lead and shape the ML engineering More ❯

Will have some ability to work from home time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus Work could possibly require some on-call More ❯

data science method using parallel computing frameworks (e.g. deeplearing4j, Torch, Tensor Flow, Caffe, Neon, NVIDIA CUDA Deep Neural Network library (cuDNN), and OpenCV) and distributed data processing frameworks (e.g. Hadoop (including HDFS, Hbase, Hive, Impala, Giraph, Sqoop), Spark (including MLib, GraphX, SQL and Dataframes). Execute data science method using common programming/scripting languages: Python, Java, Scala, R More ❯

systems engineering lifecycle. Strong communication skills to translate stakeholder requirements into system use-cases. Experience with visualization tools (e.g., Tableau, D3, ggplot). Experience utilizing multiple big data technologies: Hadoop, Hive, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop. Experience with SQL, Spark, ETL. Experience with extracting, cleaning, and transforming large transactional datasets to build predictive models and generate supporting documentation. More ❯