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Apache Druid Jobs (NOW HIRING)

Broadcom

Software Engineer

Concord, NC · On-site

High-Volume Data Systems - Experience with analytical databases (e.g., Apache Druid, ClickHouse), large-scale data ingestion (Kafka), and complex querying workloads. * Modern Build Tooling ...

Netflix

Software Engineer 5 - Ads Eventing

Los Gatos, CA · On-site +1

Expertise in building and integrating APIs and services with data technologies such as Apache Druid for real-time analytics and data processing * Broad knowledge of ad tech and advertising landscape ...

Orb

Software Engineer, Infrastructure - Remote (USA)

$170K - $240K/yr

PostgreSQL + Apache Druid+ Clickhouse * Streaming Platforms: Kafka + Spark Streaming * Cloud Platform: AWS Benefits: * Excellent medical, dental, and vision insurance * One Medical membership

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 ...

Imply

Staff Software Engineer (Remote)

Burlingame, CA · On-site +1

$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 ...

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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.

Software Engineer, Infrastructure - San Francisco HQ

Orb

San Francisco, CA

$203K - $241K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

About Orb:
Orb is redefining what billing software can be, turning one of the most complex parts of running a business into a strategic driver of growth. We're building the revenue design platform that helps teams automate billing, evolve pricing, and grow revenue with confidence. We work with companies like Vercel, Pinecone, Perplexity, and Replit to help them price smarter, bill accurately, and capture more of the revenue they've earned.
Backed by $44.1M in funding from top investors like Mayfield, Menlo Ventures, and Greylock, we're a team that moves fast, holds itself to high standards, and is serious about changing how companies grow.
For SF Bay Area and NYC residents, we've built a hybrid work culture where we are in office 3 days/week. For remote roles, we ask you to join us in person 1x per quarter. Our values, customer centricity, minutes matter, run with it, and attention to detail are at the core of everything we do.
About the role:
As a senior member of the infrastructure team, you'll play a key role in maintaining a high bar for reliability. Our customers depend on our systems being operational, as downtime can directly lead to lost revenue. You'll be responsible for the infrastructure powering the entire product, from event ingestion, API services, alerting, invoicing, and everything in between.
In this role you will:
  • Lead infrastructure resiliency efforts - recovery mechanisms, tenant isolation, load spike handling, etc
  • Improve observability and operability of our systems
  • Build performance-critical, user-facing infrastructure (eg. real-time event processing)
  • Plan scaling initiatives to handle large customer growth
  • Partner with other engineering teams to ensure we build reliable product features
  • Learn from a talented peer group, and share your expertise
About you:
  • You think deeply about edge cases, failure modes, bottlenecks, etc
  • You have a knack for investigating and debugging tricky errors and performance issues
  • You enjoy building scalable infrastructure for a high-growth product
  • You can effectively mentor fellow engineers on best practices (observability, rollout strategies, risk mitigation, etc)
  • You have 5+ years of experience in software engineering, and you've worked in in the infrastructure domain for 4+ years
Orb's Tech Stack:
At Orb, we believe great engineers can learn any stack, so you do not need experience with these specific tools and we encourage you to apply regardless.
  • Frontend: Typescript + React + Tailwind CSS
  • Backend: Python
  • Datastores: PostgreSQL + Apache Druid+ Clickhouse
  • Streaming Platforms: Kafka + Spark Streaming
  • Cloud Platform: AWS
Benefits:
  • Excellent medical, dental, and vision insurance
  • One Medical membership
  • Unlimited PTO plus an additional week off between Christmas and New Year's
  • 401k plan
  • 16-week paid parental leave with equity vesting
  • Commuter stipend
  • Catered lunches in the office
  • Annual learning & development stipend
  • Meaningful equity in the form of stock options

Equal Opportunity Employer
We work with each other day in and day out, and strongly believe that building a diverse and inclusive team is key to our long-term goals and success as a company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.

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