ZipRecruiter

Log In

1

Software Engineer Data Infrastructure Opensearch Jobs

Wing

Software Engineer, Data Infrastructure

Palo Alto, CA · Hybrid

$134K - $161K/yr

About the Role: Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This role is Hybrid based in our Palo Alto, California headquarters. The Data ...

Figma

Software Engineer, Data Infrastructure

$117K - $140K/yr

Figma is a company on a mission to make design accessible to all, and they are seeking a Software Engineer for their Data Infrastructure team. This role involves designing and building large-scale ...

Cohere

Software Engineer, Data Infrastructure

New York, NY · On-site

$125K - $150K/yr

As a Software Engineer, Data Infrastructure, you will: * Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it. * Collaborate daily ...

next page

Showing results 1-20

All JobsTechnology JobsNetworking JobsNetwork Engineer JobsSoftware Engineer Data Infrastructure Opensearch Jobs

Software Engineer Data Infrastructure Opensearch information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 31, 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 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?

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 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 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
Infographic showing various Software Engineer Data Infrastructure Opensearch job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Software Engineer, Data Infrastructure

Palo Alto, CA • Hybrid

Wing
See more jobs at Wingexternal

$134K - $161K/yr

Full-time

Re-posted 6 hours ago

Job description

About the Role:

Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This role is Hybrid based in our Palo Alto, California headquarters. The Data Infrastructure team builds the foundational systems that manage the vast data generated by our global fleet of autonomous aircraft. In this role, you will design, build, and maintain the scalable data pipelines that collect, process, and store aircraft telemetry and logs, making flight data securely accessible for analysis, machine learning and AI. Your work will empower engineering and flight operations teams to understand aircraft performance and debug issues in the fleet, while also providing the datasets necessary to train and validate machine learning models and leverage Large Language Model AI platforms. Ultimately, you'll provide the data backbone that is essential for scaling Wing's operations safely and efficiently.

What You'll Do: 

  • Partner cross-functionally with software engineers, aerospace engineers, and flight operations/business teams to develop, deliver and scale data pipelines essential for Wing's delivery business and aircraft operations.
  • Integrate diverse data sources across the business to provide a consistent, accurate view of flight operations, aircraft fleet, infrastructure, and business performance.
  • Develop and optimize a mix of batch and interactive services across data pipelines, backend systems, and data serving systems to power our operations.
  • Monitor, validate, and maintain data pipelines to ensure consistent performance and data integrity.

What You'll Need: 

  • 3-6 years of experience programming backend systems and/or data pipelines
  • BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
  • Demonstrated coding experience with one or more languages - C++, Java, Python, Go and/or JavaScript.
  • Experience with data analysis tools (such as BigQuery, SQL), data visualization tools, and with data processing algorithms (Hadoop, Flume, Spark, Apache Beam, MapReduce)
  • Ability to independently work with cross-functional teams to drive features to completion.

Apply