Full-Time

Staff Software Engineer

Updated on 5/11/2026

Starburst

Starburst

501-1,000 employees

Enterprise-ready Trino data analytics platform

No salary listed

India

In Person

Based in India; 25% in-person travel required for onboarding, team offsites, and events.

Category
Software Engineering (2)
,
Required Skills
Microsoft Azure
Python
Airflow
Apache Spark
SQL
Java
RAG
AWS
Scala
Terraform
Ansible
REST APIs
Google Cloud Platform
Requirements
  • A Trino enthusiast looking to push the bounds in an AI future
  • At least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both
  • Strong software engineering fundamentals: writing clean, testable, well-reviewed code in Java, Python, or Scala
  • Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks
  • Experience designing and building backend services, APIs, and data platform components
  • Experience managing data and application infrastructure in public clouds, particularly AWS (EMR, EC2, S3, IAM); multi-cloud experience (GCP/Azure) is a plus
  • Experience using and managing orchestration frameworks such as Apache Airflow or Dagster
  • Knowledge of RAG and other design patterns for AI-powered applications
  • Fluency in SQL and comfort moving between SQL and general-purpose programming as the task demands
  • Experience building API integrations for extracting data from third-party sources
  • Knowledge of data modeling techniques appropriate for modern data lakes
  • Proficiency with Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible
  • A track record of shipping reliable software and data systems on time, with disciplined practices around testing, code quality, and review
  • Strong written and verbal communication skills, with the organizational ability to coordinate across teams
  • Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs.
Responsibilities
  • Design, build, and operate a high-quality data lake and the software systems that feed it, supporting product management, finance, customer support, and engineering
  • Write production-grade software — services, APIs, tooling, and automation — that enables data workflows and integrations at scale
  • Find innovative ways to use Trino and Starburst to solve complex data management and software architecture challenges
  • Collaborate with technical leads, product managers, and data analysts to build robust data products and analytics
  • Leverage AI to democratize access to datasets for users throughout Starburst, including building and maintaining the software infrastructure that makes this possible
  • Enable dataset preparation and model evaluation for Starburst's AI projects
  • Define and evolve engineering processes and best practices that span both software and data domains, with a focus on reliability and actionable results
  • Work closely with leaders across teams to iterate on data architecture and the software systems that implement it, keeping quality high at every layer
  • Identify emerging patterns in data management and software engineering, and work with Starburst's product teams to bring those innovations to market

Starburst provides an enterprise-grade distribution of the Trino SQL engine and professional support to run fast analytics on data lakes and other sources. It offers Starburst Galaxy (cloud) and Starburst Enterprise (on-prem) with extra connectors, security features, and enterprise support. The system connects to popular tools like Tableau, Power BI, Looker, and Python clients, enabling seamless data access across different data sources. Users access and query data through the Trino engine, which coordinates queries across data sources and returns results via familiar BI or programming interfaces. Starburst differentiates itself by adding enterprise-grade security, governance, and connectors on top of Trino, plus both cloud and on-prem options. The company’s goal is to help customers gain faster, more reliable data insights and better decision-making by enabling scalable analytics across data lakes and other sources.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$414M

Headquarters

Boston, Massachusetts

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Surpassed $100M ARR with 40% YoY growth; financial services grew 85% YoY with four top-five Americas banks.
  • AI-ready architecture with vector search and LLM integration drives $20M AI annual run rate and enterprise adoption.
  • Arity case study demonstrates 10x faster processing and 66% cost reduction, validating value proposition for petabyte-scale workloads.

What critics are saying

  • Databricks' $43B valuation and 10,000+ customers enable aggressive pricing parity eroding Starburst's lakehouse market share.
  • Microsoft Fabric bundles federated query with Power BI at lower TCO, commoditizing Starburst's standalone query engine.
  • Financial services concentration (85% YoY growth) exposes Starburst to EU DORA and SEC data governance regulatory restrictions.

What makes Starburst unique

  • Federated query engine eliminates data movement across clouds, on-prem, and hybrid environments without vendor lock-in.
  • AIDA AI assistant reasons across distributed data using ReAct framework for analyst-level insights without centralization.
  • 40x query performance improvement with VAST Data integration positions Starburst as fastest Trino-based lakehouse solution.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Competitive salary & attractive stock grants

Remote-friendly work options

Quality & affordable insurance

Flexible & generous paid time off

Environment of transparency, honesty & respect

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-1%
The Associated Press
Apr 14th, 2026
Starburst launches AIDA, AI assistant that reasons across distributed enterprise data for faster decisions

Starburst has launched AI Data Assistant (AIDA), a new capability designed to help organisations analyse enterprise data using natural language. The system uses a ReAct reasoning framework to move beyond simple query generation, combining live data sampling and metadata analysis to deliver analyst-level insights. AIDA features persona-based outputs tailored to user roles, white labeling options, and support for multiple large language models including Anthropic, OpenAI and AWS Bedrock. The platform operates on distributed data across lakes, warehouses and cloud storage without requiring data centralisation. Planned Q2 releases include AIDA Studio for external system integration and configurable governance guardrails. The company aims to address revenue leakage, customer churn prevention and fraud detection. Starburst serves enterprises in over 60 countries, including Comcast and Citigroup.

Business Wire
Apr 7th, 2026
Starburst named among top 15 AI data and analytics companies on CRN's 2026 AI 100 list

Starburst, an enterprise intelligence platform provider, has been named to CRN's 2026 AI 100 list in the AI Data and Analytics category for the second consecutive year. The company was also recognised amongst "The 15 Hottest AI Data and Analytics Companies". Starburst's federated platform enables organisations to securely access and govern data across on-premises systems, multiple clouds and hybrid environments without relocating it. This approach allows enterprises to leverage complete data context for analytics and AI applications. The company recently surpassed $100 million in annual recurring revenue, driven by growing enterprise demand for scalable, governed data access to support AI initiatives. Leading enterprises in over 60 countries, including Comcast and Citigroup, use Starburst's platform built on open standards with Trino and Apache Iceberg.

Business Wire
Feb 18th, 2026
Starburst surpasses $100M ARR with 40% growth as enterprises shift from BI to AI-ready data infrastructure

Starburst, a data and AI platform provider, has surpassed $100 million in annual recurring revenue, achieving nearly 40% year-over-year growth and a $20 million AI annual run rate. The company secured multiple eight-figure enterprise deals whilst doubling its international business. The Boston-based firm demonstrated particular strength in financial services, growing 85% year-over-year in that sector and establishing relationships with four of the top five banks in the Americas. European business grew 70%, with the company maintaining 130% net dollar retention. Starburst's platform enables federated data access for enterprise AI without requiring data migration, positioning itself as an alternative to traditional business intelligence tools. The company has formed strategic partnerships with Dell, NetApp, Pure Storage and contributes to Snowflake's Open Semantic Interchange initiative.

Greenville Business Magazine
May 19th, 2025
Starburst Gains Strategic Investment from Citi

Starburst announced a strategic investment from Citi, made through Citi's Markets Innovation & Investments division. This collaboration aims to advance AI-ready data infrastructure, focusing on governance, performance, and flexibility for financial services. Starburst's platform unifies access to distributed data without complex migrations, supporting enterprises in regulated industries. The investment reinforces Starburst's mission to remove barriers between data and insight.

PR Newswire
May 19th, 2025
Starburst Announces Strategic Investment from Citi

/PRNewswire/ -- Starburst, the data platform for apps and AI, today announced a strategic investment from Citi. Starburst's platform enables organizations to...