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Senior Data Engineer — Starburst / Apache Trino

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Senior Data Engineer — Starburst / Apache Trino

Triade Flevoland

Senior Data Engineer — Starburst / Apache Trino

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonJavaTesting & QAPostgreSQLKafkaSnowflakeGoogle BigQueryData AnalysisScalaAWSKubernetesOraclePySparkTerraformAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Salary:

$124,800 – $156,000 / year

Location:

United States

Work mode:

Remote

Published on:

27 August 2026

What they need


Starburst Enterprise Platform / Apache Trino · Remote, United States

| | | |-|-| | Role | Senior Data Engineer + Platform Administrator | | Practice | Data Engineering — Starburst / Trino federated lakehouse | | Location | United States — remote | | Hours | US business hours; US Eastern (ET) preferred | | Engagement | Contract — initial term with extension by mutual agreement | | Openings | 1 | | Experience | 8+ years, including 2+ years hands-on with Trino or Presto in production |

About the role

Triade is building an integrated delivery squad for a Starburst Enterprise Platform (SEP) / Apache Trino engagement with a US enterprise client in financial services. This is one team supporting one customer — not a set of isolated contract hires.

The squad delivers across two tracks: the data layer (Trino federation and the Iceberg lakehouse) and the access and reporting layer (BI and the semantic layer). Materialized views on Apache Iceberg are the shared hand-off between them, so the two tracks work in step rather than in sequence.

What you will own

You are the hands-on owner of the federated lakehouse platform — designing and building on it, and administering the clusters it runs on. You break down data silos with federated query, so the client gets high-performance SQL across cloud and on-premise sources without heavy ETL.

  • Architect, configure, and manage Starburst / Trino clusters and connectors; build federated data pipelines and data products that serve BI and self-service analytics.
  • Administer the platform on Kubernetes with Helm — catalogs, connectors, and Dev / QA / Prod separation — owning monitoring, tuning, and availability.
  • Implement and optimise materialized views on Apache Iceberg, the shared hand-off into the BI track.
  • Own platform security and governance: access control, data masking, and row- and column-level security via Starburst controls or Apache Ranger, with secrets managed in Vault. Create data models; develop, unit- and integration-test, deploy, and support components through CI/CD; support UAT and Dev- Prod release.
  • Produce enablement content and documentation, and provide daily and weekly status.

What you bring

  • Experience — 8+ years in data engineering at a senior level, including 2+ years hands-on managing and optimising Apache Trino or Presto in production.
  • Data federation — architect, configure, and manage Starburst / Trino coordinator-worker clusters connecting AWS S3, Snowflake, Google BigQuery, Kafka, PostgreSQL, Oracle, and Teradata.
  • Platform administration — deploy, configure, administer, and fine-tune Starburst Enterprise / Trino on Kubernetes (Helm): catalogs, connectors, environment separation, and platform health, availability, and observability.
  • Performance — tune query execution plans, distributed joins, cluster scaling, and memory allocation for low-latency analytics.
  • Lakehouse — implement and optimise open-table formats, principally Apache Iceberg (Delta and Hive where relevant), and maintain materialized views as the hand-off to BI.
  • Security & governance — fine-grained access control, data masking, and row- and column-level security using Starburst controls or Apache Ranger; secrets management such as Vault.
  • Advanced SQL — window functions, CTEs, and tuning of distributed query joins.
  • Cloud & IaC — AWS, GCP, or Azure with cloud object storage (S3 / ADLS); Kubernetes and Helm, Docker, and Terraform.
  • Data modeling — data-warehousing fundamentals, star and snowflake schemas, and lakehouse and data-mesh architectures.
  • Programming — Python and PySpark.

Nice to have

  • Java or Scala, particularly for Trino connector work.
  • Relevant cloud or data platform certification.
  • Prior delivery into a regulated financial-services environment.

How we work

  • Fully remote within the United States, aligned to US business hours — US Eastern preferred.
  • Daily stand-up reporting: Done / Next / Blockers.
  • Weekly status: summary of work delivered, hours utilised, next-week plan, and open risks.
  • Occasional travel to the client site or a Triade office as the engagement requires.

Compensation & engagement

  • Rate — USD 60–75 per hour, negotiable based on experience.
  • Engagement type — 1099 independent contractor. Initial term with extension by mutual agreement.
  • Work authorization — applicants must be authorized to work in the United States without visa sponsorship, now or in the future. Triade does not sponsor or transfer employment visas for this role.
  • How to apply — apply directly through this posting.

Details

Triade is an equal opportunity employer. We consider all qualified applicants without regard to any characteristic protected by applicable federal, state, or local law.

Location

Remote

Type

Remote

Contract

Contract

Published

8/26/2026

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