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Software Engineer Data Infrastructure Opensearch Jobs

HubSpot

Principal Software Engineer - Data Infrastructure

$138K - $185K/yr

The Principal Software Engineer in Data Infrastructure will help determine how those building blocks are designed, how they scale, and how engineers across HubSpot use them to create the next ...

SentiLink

Senior Software Engineer, Data Platform

$125K - $165K/yr

As a Senior Software Engineer on the Data Platform team, you will own the data infrastructure ... NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient ...

SentiLink

Senior Software Engineer, Data Platform

$125K - $165K/yr

As a Senior Software Engineer on the Data Platform team, you will own the data infrastructure ... NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient ...

SentiLink

Senior Software Engineer, Data Platform

$125K - $165K/yr

As a Senior Software Engineer on the Data Platform team, you will own the data infrastructure ... NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient ...

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How much do software engineer data infrastructure opensearch jobs pay per year?

As of Jun 29, 2026, the average yearly pay for software engineer data infrastructure opensearch in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Software Engineer working on Data Infrastructure with OpenSearch?

Software Engineers in Data Infrastructure roles focusing on OpenSearch often encounter challenges such as optimizing search performance at scale, ensuring high availability and fault tolerance, and managing data ingestion pipelines. They must also address issues related to data consistency, security, and fine-tuning cluster configurations for specific workloads. Collaboration with DevOps, data engineers, and application developers is key to maintaining seamless integration and reliable operation of search capabilities across the organization.

What does a Software Engineer Data Infrastructure Opensearch do?

A Software Engineer Data Infrastructure specializing in Opensearch is responsible for designing, building, and maintaining scalable data systems that leverage Opensearch for search, analytics, and data indexing. They work on optimizing data pipelines, ensuring high availability, and improving the performance of large-scale distributed systems. Their role typically includes collaborating with data engineers, DevOps teams, and software developers to integrate Opensearch into company infrastructure, manage cluster operations, and implement best practices for data security and reliability.

What are the key skills and qualifications needed to thrive as a Software Engineer Data Infrastructure Opensearch, and why are they important?

To thrive as a Software Engineer Data Infrastructure Opensearch, you need a deep understanding of distributed systems, data indexing, and search algorithms, typically supported by a degree in computer science or a related field. Experience with Opensearch or Elasticsearch, as well as proficiency in languages like Java or Python and familiarity with cloud platforms, are commonly required, along with knowledge of CI/CD tools. Strong problem-solving abilities, effective teamwork, and clear communication set outstanding candidates apart. These skills ensure reliable, scalable data infrastructure and enable efficient handling of large-scale search and analytics workloads.
What job categories do people searching Software Engineer Data Infrastructure Opensearch jobs look for? The top searched job categories for Software Engineer Data Infrastructure Opensearch jobs are:
Software Engineer Data Infrastructure Opensearch jobs near you
Staff Software Engineer, Data Infrastructure

Staff Software Engineer, Data Infrastructure

Peregrine Technologies

San Francisco, CA • On-site

$200K - $275K/yr

Other

Posted 18 days ago

Key responsibilities

  • Architect and build systems for ingesting, storing, and serving massive volumes of real-time operational data.

  • Design and operate a high-throughput, real-time data integration platform across diverse customer environments.

  • Collaborate with platform and product engineering teams to define data contracts, schemas, and integration patterns.

Job description

Team

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration-you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions-you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

Role

We are looking for a Staff Data Infrastructure Engineer to join our growing team, where you will have deep ownership over the data layer that underpins everything Peregrine does. You will architect and build the systems that ingest, store, and serve massive volumes of real-time operational data - enabling our customers to make critical decisions with speed and confidence.

This is a senior individual contributor role for someone who thrives on hard technical problems and brings the experience and judgment to shape foundational infrastructure decisions. You will tackle a wide range of complex challenges, including:

  • Designing and operating a high-throughput, real-time data integration platform across diverse customer environments
  • Architecting a scalable open table format layer for reliable data storage at petabyte scale
  • Building and optimizing distributed data processing pipelines with Apache Spark and adjacent streaming technologies
  • Driving performance, reliability, and cost efficiency across the full data infrastructure stack
  • Collaborating with platform and product engineering teams to define data contracts, schemas, and integration patterns
  • Establishing best practices, tooling, and patterns that raise the quality bar for data infrastructure across the organization

Our stack is constantly evolving but is built on AWS GovCloud, Apache Iceberg, Apache Spark, Apache Kafka, Airflow, Kubernetes, and more.

About You
  • Deep passion for data infrastructure - you care about building systems that are correct, fast, and resilient at scale
  • Thrive on ambiguity and are energized by defining the right solution to hard, open-ended problems
  • Strong technical vision with the ability to translate complex data requirements into clean, durable infrastructure designs
  • Desire to own significant portions of the data stack end-to-end, from ingestion to serving
  • Committed to operational excellence - you build things you're proud to operate
What We Look For
  • 8+ years of experience architecting and operating large-scale data infrastructure systems in production environments
  • Deep expertise with open table formats, particularly Apache Iceberg - including schema evolution, partitioning strategies, compaction, and time travel
  • Extensive hands-on experience with Apache Spark for batch and streaming data processing at scale
  • Strong background in real-time data integration and stream processing, leveraging technologies such as Apache Kafka, Apache Flink, or equivalents
  • Solid experience with data pipeline orchestration using Airflow or similar tools
  • Strong software engineering fundamentals in Python and/or Scala, with a track record of writing production-quality code
  • Extensive experience with AWS or comparable cloud platforms, including S3-based data lake architectures
  • Experience with Kubernetes and containerized deployment of data workloads
  • Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • Located in San Francisco, New York, or Washington DC and open to working in office

Salary Range: $200,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

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