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Apache Druid Jobs (NOW HIRING)

Imply

Staff Software Engineer (Remote)

Burlingame, CA · Remote

$195K - $230K/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 ...

Sift

Staff Backend Engineer

San Francisco, CA · On-site

... Apache Flink, Kafka Streams, Beam, or similar • Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent • Experience with large-scale ...

Apple

Sr. Data Engineer, iCloud

Austin, TX · On-site

$113K - $136K/yr

Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelinesHighly proficient ... Streaming, Apache Storm, Kafka Streams or othersExperience with Search systems (such as ...

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

... Apache Data Frameworks (Kafka, Spark, Iceberg, OpenMetadata, Ranger), Data Infrastructure (Ceph, S3, MinIO/Parquet, REST, Nessie, Druid), Data APIs (Trino, Metabase, MLLib, Superset). Desired ...

Apple

Sr. Data Engineer, iCloud

Austin, TX · On-site

$113K - $136K/yr

Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelinesHighly proficient ... Streaming, Apache Storm, Kafka Streams or othersExperience with Search systems (such as ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache ... Cassandra, Druid, and other big data projects * Proficiency with Python is a plus. * Deep ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN · On-site

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache ... Cassandra, Druid, and other big data projects * Proficiency with Python is a plus. * Deep ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN

$99K - $118K/yr

Develop data streaming pipelines using technologies such as Apache Kafka, Apache NiFi, and Apache ... Cassandra, Druid, and other big data projects * Proficiency with Python is a plus. * Deep ...

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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.
Principal Software Engineer, Apple Data Platform

Principal Software Engineer, Apple Data Platform

Apple

Cupertino, CA • On-site

$166K - $223K/yr

Full-time

Posted 11 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Apple Data Platform team powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. ..Our team provides a fully managed Lakehouse solution powered by Apache Iceberg and the Iceberg REST Catalog, interactive querying using Trino and Druid, and data processing using Apache Spark & Flink. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We invest in open source technologies, and continuously innovate to meet evolving customer needs and market trends. ..We are seeking Principal-level engineers passionate about building world-class infrastructure products. In this role, you will serve as a technical leader on the Data Platform team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple's internal customers...
The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.
12+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive, along with resource management systems like Apache Mesos and Kubernetes.Proficient in Java or Scala.Proven expertise in designing and developing scalable, reliable APIs.A hands-on approach with a willingness to engage in daily technical work.Contributions to Open-Source projects like Apache Iceberg are a plus.Skilled at debugging complex issues in large-scale distributed systems.Driven by a passion for building reliable, maintainable, and user-friendly products and services.Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions.Bachelor's, Master's, or Ph.D. in Computer Science or a related technical discipline.
Contributor to open source technologies like Spark or Iceberg.Expertise in building Lakehouse for large scale data platforms.Expertise in public cloud platform's like AWS or GCP.

What Apple employees say

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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