Starburst · 7 hours ago
Staff Data Engineer
Starburst is a data platform for analytics, applications, and AI, helping organizations unlock the full potential of their data. The Staff Data Engineer will build and enhance internal usage, telemetry, and product data analytics, focusing on understanding customer interactions and improving data management processes.
AnalyticsBig DataDatabaseInformation TechnologyOpen SourceSoftware
Responsibilities
Build and manage a high quality data lake to support various aspects of Startburst’s business, including product management, finance, customer support, and engineering
Find innovative ways to use Trino and Starburst to solve data management 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
Enable dataset preparation and model evaluation for Starbursts’ AI projects
Define and adapt data engineering processes and best practices to focus on execution and getting reliable answers to important business questions
Work closely with leaders from other teams and departments to iterate on both data architecture and design of data solutions, focusing on high-quality results accessible at several levels
Envision innovative approaches to data management and work with Starburst’s product teams to bring those innovations to market
Qualification
Required
At least 7 years of data engineering experience, and a clear passion for data and analytics
Enthusiasm for working both independently and collaboratively with strong, diverse, high-performing teams to get value and insights from data
Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks
Experience managing data infrastructure in public clouds
Experience using and managing orchestration frameworks such as Apache Airflow or Dagster
Knowledge of RAG and other design patterns for AI applications
Fluency in SQL
Experience building API integrations for extracting data from third party sources
Excellent coding ability in Java, Python or Scala
Knowledge of data modelling techniques which are appropriate for modern data lakes
Experience with a variety of AWS services such as EMR, EC2, S3, and IAM
Able to use Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible
Demonstrable experience in delivering value and hitting deadlines consistently
Has disciplined software engineering practices, including high code quality, extensive automated testing, and rigorous code review
Highly proficient in both written and verbal communication, coupled with strong organizational abilities
Ability to Travel: This role will require occasional in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events
Preferred
Multi-cloud experience (GCP/Azure) is also nice to have
Benefits
Equity packages (ISOs)
Comprehensive benefits offering
Competitive pay
Attractive stock grants
Flexible paid time off
Company
Starburst
Starburst offers a data lakehouse platform unifying access to distributed data across cloud, on-premises, and hybrid environments.
H1B Sponsorship
Starburst has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (5)
2023 (9)
2022 (7)
2021 (4)
Funding
Current Stage
Late StageTotal Funding
$414MKey Investors
CitiAlkeon CapitalAndreessen Horowitz
2025-05-19Series Unknown
2022-02-09Series D· $250M
2021-01-06Series C· $100M
Recent News
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