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Apache Druid Jobs (NOW HIRING)

INSPYR Solutions

Java Engineer

Austin, TX · On-site

$51.25 - $70.50/hr

Experience working with Apache Druid for large-scale data ingestion and querying * Experience with Apache Flink for real-time data processing About INSPYR Solutions Technology is our focus and ...

Imply

Director, Product Management (Remote)

Burlingame, CA · On-site +1

$263K - $275K/yr

Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer ...

Imply

Director, Product Management (Remote)

Burlingame, CA · Remote

$263K - $275K/yr

Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer ...

Imply

Director, Product Management (Remote)

Burlingame, CA · Remote

$263K - $275K/yr

Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer ...

E-Solutions

Java Developer w/d DRUID Exp

Jersey City, NJ

$53.25 - $69/hr

Advanced FSD, Angular 16, API developer, Hazlecast or DRUID, Low latency coding. To be successful ... and Apache Kafka are preferred • Hands-on experience with NoSQL DB (CosmosDB, MongoDB) • In ...

Fanatics, Inc.

Senior Data Engineer

San Mateo, CA · On-site +1

$160K - $190K/yr

Experience integrating streaming systems with MPP analytical databases such as StarRocks, Apache Pinot, or Apache Druid. * Familiarity with data distribution strategies such as tablet distribution ...

Fanatics, Inc.

Senior Data Engineer

San Mateo, CA · On-site

$160K - $190K/yr

Experience integrating streaming systems with MPP analytical databases such as StarRocks, Apache Pinot, or Apache Druid. * Familiarity with data distribution strategies such as tablet distribution ...

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Apache Druid information

What is Apache Druid?

Apache Druid is a high-performance, real-time analytics database designed for fast slice-and-dice analytics on large datasets. It is commonly used for powering interactive dashboards, data exploration, and business intelligence workloads. Druid excels at ingesting both real-time streaming and batch data, providing sub-second query responses even at scale. Its architecture is optimized for OLAP queries, making it popular in industries like ad tech, finance, and telecommunications.

What are some common challenges faced by Apache Druid engineers and how can they be addressed?

Engineers working with Apache Druid often encounter challenges related to data ingestion scalability, query optimization, and ensuring low-latency performance for large analytical workloads. Addressing these challenges typically involves fine-tuning cluster configurations, carefully designing data schemas, and implementing effective data partitioning strategies. Collaborating closely with data engineering and DevOps teams is also crucial to ensure smooth deployments and to troubleshoot performance bottlenecks. Staying up to date with Druid documentation and participating in community forums can provide valuable insights and support.

What are the key skills and qualifications needed to thrive as an Apache Druid Engineer, and why are they important?

To thrive as an Apache Druid Engineer, you need strong skills in distributed systems, data modeling, and experience with big data technologies, often supported by a degree in computer science or a related field. Proficiency with Druid-specific tools, SQL, REST APIs, and cloud platforms like AWS or GCP is typically required, along with familiarity with monitoring and orchestration systems such as Kubernetes. Problem-solving abilities, attention to detail, and effective communication are valuable soft skills for collaborating with teams and troubleshooting complex data issues. These skills ensure efficient data ingestion, real-time analytics, and reliable system performance in demanding analytics environments.

What is the difference between Apache Druid vs Data Engineer?

AspectApache DruidData Engineer
Primary RoleReal-time analytics database for fast data ingestion and queryingDesign, build, and maintain data pipelines and infrastructure
Required SkillsData modeling, SQL, data ingestion tools, understanding of distributed systemsETL processes, SQL, programming (Python, Java), cloud platforms
Work EnvironmentData analytics teams, data warehouses, big data environmentsData engineering teams, cloud or on-premises infrastructure
Industry UsageBusiness intelligence, real-time analytics, data visualizationData pipeline development, data warehousing, system integration

While Apache Druid focuses on providing fast, real-time analytics for large datasets, Data Engineers build and maintain the infrastructure that enables data collection, storage, and processing. Both roles often collaborate but serve different functions within data ecosystems.

Infographic showing various Apache Druid job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution.

Site Reliability Engineers (Apache Druid - Must Have) - Sunnyvale CA 94085 - In Person Interview

Rootshell Enterprise Technologies, Inc.

Sunnyvale, CA • On-site

$66.50 - $88.50/hr

Contractor

Posted 9 days ago

Job description

Site Reliability Engineers (Apache Druid - Must Have) - Sunnyvale CA 94085 - In Person Interview
Need Locals who can attend face to face interview.
Key Qualifications
  • 4+ years of running services in a large scale *nix environment.
  • Understanding of SRE principles and goals along with good Oncall experience
  • Experience and understanding on Scaling, Capacity Planning and Disaster Recovery
  • Fast learner with excellent analytical problem solving and communication skills
  • The ability to design, author, and release code in any language (Python, Java would be a plus)
  • Deep understanding and experience in administration & usage of Apache Druid at scale.
  • Deep understanding and experience in one or more of the following - Kubernetes, AWS, Hadoop, Flink, Docker, Spinnaker, Helm
  • Experience working on supporting Java applications is a plus
  • Experience using monitoring and logging solutions like Prometheus, Grafana, Splunk etc.

Apply