151 to 175 of 350 Remote Apache Spark Jobs

in related field; or High School Diploma or equivalent and 9 years relevant experience. Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop) Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Experience in designing enterprise APIs Experience More ❯

per week in Columbia, MD. Flexibility is essential to adapt to schedule changes if needed. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes are a plus Work could possibly require some on-call work. More ❯

hybrid environment. On average 1-2 days per week with ability to flex 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 More ❯

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 ❯

at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as 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 More ❯

/able to help open/close the workspace during regular business hours as needed. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes are a plus We have many more additional great benefits/ More ❯

most of the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). More ❯

environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and More ❯

managing technical teams. Designing and architecting data and analytic solutions. Developing data processing pipelines in python for Databricks including many of the following technologies: Spark, Delta, Delta Live Tables, PyTest, Great Expectations (or similar). Building and orchestrating data and analytical processing for streaming data with technologies such as More ❯

pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models More ❯

cloud solutions Handling real-time data processing and ETL jobs Applying AI and data analytics to large datasets Working with big data tools like Apache Spark and AWS technologies such as Elastic MapReduce, Athena and Lambda Please contact Edward Laing here at ISR Recruitment to learn more about More ❯

cloud solutions Handling real-time data processing and ETL jobs Applying AI and data analytics to large datasets Working with big data tools like Apache Spark and AWS technologies such as Elastic MapReduce, Athena and Lambda Please call Edward Laing here at ISR Recruitment on More ❯

cloud solutions Handling real-time data processing and ETL jobs Applying AI and data analytics to large datasets Working with big data tools like Apache Spark and AWS technologies such as Elastic MapReduce, Athena and Lambda Please call Edward Laing here at ISR Recruitment on More ❯

Github integration and automation). Experience with scripting languages such as Python or R. Working knowledge of message queuing and stream processing. Experience with Apache Spark or Similar Technologies. Experience with Agile and Scrum Technologies. Familiarity with dbt and Airflow is an advantage. Experience working in a start More ❯

Python, R, or SQL. • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). • Proficiency in data manipulation and analysis (e.g., Pandas, NumPy, Spark). • Knowledge of data visualization tools (e.g., Power BI, Tableau, Matplotlib). • Understanding of statistical modelling, hypothesis testing, and A/B testing. • Experience More ❯

such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance More ❯

such as Bloomberg, Refinitiv, or Open Banking. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance More ❯

ELT design and implementation within large, disparate, and complex datasets; Demonstrate experience with big data processing systems and distributed computing technologies such as Databricks, Spark, Sage Maker, and Kafka; Develop scalable and efficient solutions on cloud computing platforms and infrastructure within the data and analytics domain; up to More ❯

Deep expertise with Databricks and modern data platforms in the cloud (Azure, AWS, or GCP). Strong technical background in big data frameworks (e.g., Spark, Kafka), distributed systems, and scalable data architectures. Excellent understanding of data governance, security, and privacy, with practical knowledge of GDPR compliance. Track record of More ❯

Deep expertise with Databricks and modern data platforms in the cloud (Azure, AWS, or GCP). Strong technical background in big data frameworks (e.g., Spark, Kafka), distributed systems, and scalable data architectures. Excellent understanding of data governance, security, and privacy, with practical knowledge of GDPR compliance. Track record of More ❯

ability to travel up to 25% of the time to customer sites located in Hawaii. 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. Willingness to perform some on-call More ❯

Engineering, or related field plus 5 years of related experience. Prior experience must include: Build a big data engineering framework, using Opensource platforms like Spark& Hadoop; Work on tools, including SQL and AWS public cloud-services; Utilize Agile Software Development methodologies; Utilize Data Analytics on complex data structures and More ❯

in San Antonio, TX. Flexibility is key to accommodate any schedules changes per the customer. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes are a plus Work could possibly require some on-call work. More ❯

strong focus on writing high-quality, maintainable, and scalable software. Familiarity with any of the following technologies is a plus: Distributed systems such as Spark, Hadoop, Kafka Caching solutions like Redis or Memcached Building and designing RESTful or gRPC APIs and services Containerization and orchestration tools like Docker and More ❯

week in Columbia, MD. Flexibility is key to accommodate any schedules changes per the customer. Preferred Requirements Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes are a plus Work could possibly require some on-call work. More ❯