Staff Data Engineer, Starburst
$227.8-278.3k
+ Equity packages (ISOs)
Data platform for analytics, apps and AI
Open for applications
Data platform for analytics, apps and AI
501-1000 employees
Open for applications
$227.8-278.3k
+ Equity packages (ISOs)
501-1000 employees
Company mission
To free customers from the tyranny of data lock-in.
Role
Who you are
- 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. Multi-cloud experience (GCP/Azure) is also nice to have
- 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
What the job involves
- Starburst is looking for an experienced Data Engineer to build and enhance internal usage, telemetry, and product data analytics for both Starburst Enterprise and Starburst Galaxy
- This role focuses on using our own software to better understand our customers and how they use our products
- In addition, since data engineers are one of our key target personas, you will be able to provide valuable feedback to our teams as you use the products, in terms of performance, user experience, and integration with the larger data engineering ecosystem
- You’ll work closely with our dynamic, talented, global engineers while emphasizing quality and speed to insights
- 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
Our take
Starburst offers a unified platform for accessing distributed data from various databases through its Trino-based query engine. This approach helps users cut infrastructure and analytics costs by providing a single point of access. As the Data Lakes market grows nearly 30% annually, Starburst is well-positioned to help businesses manage their increasingly complex data.
The company has recently gained recognition for its advanced capabilities in data management. Starburst emphasizes the importance of real-time hybrid data access and robust security, especially for AI applications. Its latest report, developed in collaboration with TheCUBE Research, underscores how effective data management practices are essential for successful AI implementation.s
Key findings from the report include the critical need for real-time data access and the alignment of data strategies with AI goals. These insights highlight how Starburst's technology supports efficient AI deployment and data management.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$250m
SERIES D
Dec 2020
$100m
SERIES C
Total funding: $414m
Company benefits
- Comprehensive Health Insurance Coverage
- Life Insurance, Disability, and Income Protection
- Employee assistance Programs
- Flexible Paid Time Off
- Paid Parental Leave
- Remote Work Opportunties
- Equity Ownership
Company HQ
Fort Point Channel Landmark District, Boston, MA
Leadership
Justin Borgman
(CEO & Chairman)Founder and CEO of Starburst's precursor company Hadapt, which was acquired by Terdata in 2014. Served as VP & GM at Teradata before co-relaunching Hadapt as Starburst in 2017.
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