Staff Data Engineer at Starburst

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Analytics, AIIndustries

Requirements

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

Responsibilities

Build and manage a high quality data lake to support various aspects of Starburst’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 Starburst’s 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

Skills

Key technologies and capabilities for this role

TrinoStarburstData LakeAIData AnalyticsTelemetryData EngineeringAnalytics

Questions & Answers

Common questions about this position

What experience level is required for this Staff Data Engineer role?

At least 7 years of data engineering experience is required, along with a clear passion for data and analytics.

What technical skills are needed for this position?

Key skills include experience building and optimizing data pipelines using Trino, Spark, dbt; managing data infrastructure in public clouds; using orchestration frameworks like Apache Airflow or Dagster; fluency in SQL; and knowledge of RAG and AI design patterns.

What is the salary for this Staff Data Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What kind of team will I be working with at Starburst?

You'll work closely with dynamic, talented, global engineers, technical leads, product managers, data analysts, and leaders from other teams like product management, finance, customer support, and engineering, emphasizing quality, speed to insights, and collaboration.

Starburst

Data analytics and SQL engine distribution

About Starburst

Starburst specializes in data analytics by providing a distribution and support for the Trino SQL engine, which is designed for efficient and scalable analytics on data lakes and various data sources. Their products, Starburst Galaxy and Starburst Enterprise, allow clients to access and analyze data quickly, whether in the cloud or on-premises. Starburst connects seamlessly with popular data visualization tools like Tableau, Power BI, and Looker, making it easier for users to integrate and access their data. What sets Starburst apart from competitors is its enhancement of the open-source Trino engine with additional connectors, security features, and dedicated enterprise support. The company's goal is to help organizations achieve faster data insights and better decision-making through improved analytics capabilities.

Boston, MassachusettsHeadquarters

2017Year Founded

$402.7MTotal Funding

SERIES_DCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Competitive salary & attractive stock grants

Remote-friendly work options

Quality & affordable insurance

Flexible & generous paid time off

Environment of transparency, honesty & respect

Risks

Increased competition from companies like Dell could impact Starburst's market share.

The rapid growth of unique data vendors may lead to increased market complexity.

Enterprises moving towards single-cloud strategies could challenge Starburst's multi-cloud offerings.

Differentiation

Starburst offers both cloud-based and on-premises solutions, catering to diverse client needs.

The company enhances the open-source Trino engine with additional connectors and security features.

Starburst's platform integrates with popular data tools like Tableau, Power BI, and Looker.

Upsides

Starburst Galaxy achieved 3x year-over-year growth in active customers and usage volume.

The platform enables 10X faster data processing and 66% cost reduction for clients like Arity.

Starburst's Icehouse platform leverages open-source Trino and Apache Iceberg for scalability.

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Staff Data Engineer at Starburst

Requirements

Responsibilities

Skills

Questions & Answers

Starburst

About Starburst

Benefits

Competitive salary & attractive stock grants

Remote-friendly work options

Quality & affordable insurance

Flexible & generous paid time off

Environment of transparency, honesty & respect

Risks

Increased competition from companies like Dell could impact Starburst's market share.

The rapid growth of unique data vendors may lead to increased market complexity.

Enterprises moving towards single-cloud strategies could challenge Starburst's multi-cloud offerings.

Differentiation

Starburst offers both cloud-based and on-premises solutions, catering to diverse client needs.

The company enhances the open-source Trino engine with additional connectors and security features.

Starburst's platform integrates with popular data tools like Tableau, Power BI, and Looker.

Upsides

Starburst Galaxy achieved 3x year-over-year growth in active customers and usage volume.

The platform enables 10X faster data processing and 66% cost reduction for clients like Arity.

Starburst's Icehouse platform leverages open-source Trino and Apache Iceberg for scalability.

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