76 to 100 of 152 Remote Apache Spark Jobs

a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London More ❯

a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London More ❯

best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in More ❯

technologies. Requirements: Strong Python skills. Experience with AWS and cloud-based systems. Background with Linux, Docker, SQL/relational databases. 2+ years’ industry experience and a STEM degree. Bonus: Spark, Kafka, Terraform, Airflow or similar. What’s on offer: Competitive salary + bonus. Hybrid working (2–3 days London office). 25 days holiday + bank holidays, pension, private More ❯

technologies. Requirements: Strong Python skills. Experience with AWS and cloud-based systems. Background with Linux, Docker, SQL/relational databases. 2+ years’ industry experience and a STEM degree. Bonus: Spark, Kafka, Terraform, Airflow or similar. What’s on offer: Competitive salary + bonus. Hybrid working (2–3 days London office). 25 days holiday + bank holidays, pension, private More ❯

Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join Gemba More ❯

some ability to be working 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, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus More ❯

and analytical skills. Strong communication and collaboration abilities. Preferred Skills: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of data governance and security best practices. Experience with ETL processes and tools. What BLN24 brings to the Game: BLN24 benefits are game changing. We like our More ❯

developing Big Data solutions in the Azure space. Demonstrated experience architecting and building cloud-based data lakes Demonstrated experience in data warehousing - data lake design Proven expertise with Databricks, Spark, and cloud platforms Strong knowledge of data modeling, ETL/ELT processes, and distributed systems. Demonstrated experience designing and implementing end-to-end data architecture using Databricks and cloud More ❯

days per week in Aberdeen Proving Ground, MD. 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 work. Why Join More ❯

SQL. Hands-on experience with cloud platforms (GCP or Azure) and Databricks. Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. Nice-to-have: Experience with Spark, CI/CD pipelines, and orchestration tools. Knowledge of Elasticsearch or digital/web analytics platforms. Understanding of the full machine learning lifecycle, from experimentation to evaluation. If you More ❯

a DoD 8140/8570 compliance certification (i.e. Security+ certification) Must have a Computing Environment certification (AWS, Linux, Kubernetes, etc.) Desired Qualifications Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes are a plus About SilverEdge SilverEdge Government Solutions was founded on the belief that nurturing talent More ❯

to manage multiple projects and priorities effectively. Preferred Skills: Experience with cloud-based data lake solutions (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of data governance and security best practices. Experience with ETL processes and tools. What BLN24 brings to the Game: BLN24 benefits are game changing. We like our More ❯

occasional opportunities to be working from home. Flexibility is essential to accommodate schedule changes based on customer and team needs. 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. Why Join Polaris? Mission-Driven More ❯

both verbal and written. Preferred Experience and Skills: Expertise with Qlik. Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics. Experience with Hadoop, Spark or other parallel storage/computing processes. Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work/Make a Difference: supporting Customs and Border More ❯

in effectively navigating and contributing within the Risk Management Framework (RMF) process Proficiency in system design and meticulous documentation 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 in RESTful web services Experience More ❯

experience with AWS, GCP, Microsoft Azure, or another cloud service 3+ years of experience building and designing scalable data pipelines 3+ years experience with Distributed data/computing tools (Spark, Databricks) 2+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in More ❯

experience with AWS, GCP, Microsoft Azure, or another cloud service 3+ years of experience building and designing scalable data pipelines 3+ years experience with Distributed data/computing tools (Spark, Databricks) 2+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in More ❯

experience with AWS, GCP, Microsoft Azure, or another cloud service 3+ years of experience building and designing scalable data pipelines 3+ years experience with Distributed data/computing tools (Spark, Databricks) 2+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in More ❯

experience with AWS, GCP, Microsoft Azure, or another cloud service 3+ years of experience building and designing scalable data pipelines 3+ years experience with Distributed data/computing tools (Spark, Databricks) 2+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in More ❯

experience with AWS, GCP, Microsoft Azure, or another cloud service 3+ years of experience building and designing scalable data pipelines 3+ years experience with Distributed data/computing tools (Spark, Databricks) 2+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in More ❯

experience with AWS, GCP, Microsoft Azure, or another cloud service 3+ years of experience building and designing scalable data pipelines 3+ years experience with Distributed data/computing tools (Spark, Databricks) 2+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in More ❯

environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At More ❯

environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At More ❯

environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At More ❯