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Trino Python Jobs (NOW HIRING)

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

... Trino, while ensuring theplatform is secure, performant, reliable, and cost-effective. The ... Preferred knowledge in C++, Java, Python, Linux. Candidate should have the ability to work in a ...

Rackner

Software Engineer

Washington, DC · Remote

... Python #FastAPI #Django #Flask #JavaScript #Java #OpenAPI #RESTAPIs #ObjectRelationalMapping #ORM #AWS #cloud #containerized #Docker #linux #microservice #ApacheAirflow #Trino #SWSEMR #NIST ...

VTG

Data & Software Engineer

Mclean, VA · On-site

$115K - $139K/yr

... Python skills (including Pandas & NumPy) • Docker, Podman • AWS S3, Lambda & Step functions • Apache Iceberg, Airflow, etc. • SQL (with Trino) • NoSQL, DynamoDB • Unity Catalog OSS ...

GRVTY

Data & Software Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Python skills (including Pandas & NumPy) • Docker, Podman • AWS S3, Lambda & Step functions • Apache Iceberg, Airflow, etc. • SQL (with Trino) • NoSQL, DynamoDB • Unity Catalog OSS ...

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How much do trino python jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for trino python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Trino Python developer?

A Trino Python developer is a software professional who integrates and utilizes the Trino distributed SQL query engine within Python applications. They typically use Python libraries, such as PyTrino or DB API connectors, to query, analyze, and manipulate large datasets across multiple data sources with Trino. This role involves building data pipelines, optimizing SQL queries, and enabling data analytics workflows by bridging Trino’s capabilities with Python’s flexibility. Trino Python developers often collaborate with data engineers, analysts, and cloud architects to deliver scalable and efficient data solutions.

What is the difference between Trino Python vs Data Engineer?

AspectTrino PythonData Engineer
Required CredentialsPython programming, SQL, basic data toolsComputer science degree, SQL, Python, data warehousing certifications
Work EnvironmentData analysis, scripting, data queryingData pipeline development, database management, infrastructure
Industry UsageData analysis, BI, data queryingData infrastructure, ETL processes, data architecture

Trino Python primarily focuses on scripting and querying data using Python and SQL within data analysis environments. Data Engineers build and maintain data pipelines, infrastructure, and storage solutions. While both roles work with data, Trino Python is more analysis-oriented, whereas Data Engineers handle the data architecture and processing at a broader level.

How does a Trino Python developer typically collaborate with data engineering and analytics teams?

As a Trino Python developer, you’ll frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines. Collaboration often involves translating business requirements into efficient queries, integrating Trino with Python-based ETL workflows, and troubleshooting performance issues together. Regular communication is essential, as you’ll coordinate on schema changes, data validation, and ensuring data accessibility for analytics tasks. This role often requires participating in code reviews, documenting solutions, and providing guidance on best practices for using Trino with Python.

What are the key skills and qualifications needed to thrive as a Trino Python Developer, and why are they important?

To thrive as a Trino Python Developer, you need strong skills in Python programming, SQL, and a solid understanding of distributed query engines like Trino, often supported by a degree in computer science or related field. Familiarity with Trino’s APIs, data integration tools, and cloud data platforms, as well as experience using libraries such as SQLAlchemy or PyTrino, is typically required. Excellent problem-solving, communication, and collaboration skills help developers work effectively with data engineering and analytics teams. These skills are crucial for building efficient data pipelines, ensuring high performance, and enabling seamless access to large and complex datasets.
Infographic showing various Trino Python job openings in the United States as of May 2026, with employment types broken down into 9% Internship, 8% Full Time, 3% Temporary, and 80% Contract. Highlights an 78% Physical, 10% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior Software Engineer - Analytics Data Platform Lakehouse

Senior Software Engineer - Analytics Data Platform Lakehouse

Datadog

New York, NY

$134K - $176K/yr

Other

Posted 22 days ago

Job description

Analytics Data Platform Lakehouse team builds and operates the foundations that power data engineers, applied AI, and product teams-managing millions of tables on their behalf and simplifying operations from maintenance and observability to governance, for both internal and customer-facing use cases. If you're excited by the intersection of petabyte data processing scale, open-source query engines, and building platforms with real product stakes, this is the team for you.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do: 

  • Design, build, and operate core components of our lakehouse platform, including Apache Iceberg table management (data compaction, data layout optimization, materialized view scheduling...) and Iceberg catalog
  • Drive adoption of open table formats across internal teams, owning the integration of Trino, Spark and other query engines (DuckDB, Puppygraph...) with our Iceberg-based lakehouse at petabyte scale
  • Build observability for managed iceberg tables, to identify query performance bottlenecks, cost drivers and contribute fixes back to upstream open-source projects (Iceberg, Trino, Spark, Open Lineage) where relevant
  • Build self-serve tooling and abstractions that allow data engineering teams to reliably run thousands of pipelines per day against our lakehouse
  • Collaborate with data engineers, analysts, and infrastructure teams to define the roadmap for our lakehouse architecture and shape how Datadog manages analytic data at scale

Who You Are: 

  • You have a BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent professional experience
  • You have deep, production-grade experience with one or more of Apache Iceberg, Trino, or Apache Spark, ideally demonstrated through significant open-source contributions: merged PRs, committer status, or PMC membership on projects 
  • You have built or operated large-scale distributed data systems
  • You have a solid grasp of query planning, columnar file formats (Parquet, ORC), and table format internals (snapshots, manifests, partition evolution)
  • You are fluent in Java, Scala or Go and comfortable with Python for pipeline tooling
  • You have experience deploying and running data infrastructure on Kubernetes in cloud environments

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

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