Presto/trino

Presto/trino Engineer Jobs

3 jobs found

6d ago

Sr. Software Engineer (Apache, Python, Trino, Kubernetes)

Power3 Solutions Annapolis Junction, MD

Annapolis Junction, MD

6d ago

Full time Python Senior Apache Airflow

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Job Description

Power3 Solutions welcomes a Senior Software Engineer to join an on site role in Annapolis Junction, MD. You will contribute to developing, maintaining, and enhancing sophisticated software systems within a large scale analytics and real time data environment. The position emphasizes hands on coding, debugging, testing, and collaborative system design, with opportunities to influence architecture and data processing approaches across teams.

Benefits

Competitive health, dental, and vision plans with 100% paid premiums.
401k with a 6% company contribution even if you do not contribute.
Time Off includes 11 standard holidays and 25 days of PTO.
Career Development with career counseling and individualized development plans, including education and training.
Employee referral bonuses for successful hires.

Responsibilities

Develop, maintain, and enhance complex and diverse software systems, including processing-intensive analytics, novel algorithm development, handling extremely large data sets, real time systems, and business management information systems, aligned to documented requirements.
Work independently or as part of a team to deliver reliable software components.
Review and test software components for adherence to design requirements and document test results.
Resolve software problem reports and drive issue resolution.
Apply software development and design methodologies appropriate to the development environment.
Provide input on system design, including hardware/software trade offs, software reuse, and use of COTS/GOTS in place of new development; synthesize requirements from system level to individual components.
Analyze user requirements to derive design and performance requirements, debug existing software, fix defects, and offer recommendations to improve documentation and development process standards.

Requirements

Fourteen (14) years of experience as a software engineer in programs and contracts of similar scope, type, and complexity.
Bachelor’s degree in Computer Science or a related discipline from an accredited college or university; four (4) years of additional SWE experience on projects with similar software processes may substitute for a bachelor’s degree.
Proficiency with Apache AirFlow
Proficiency with Python
Proficiency with Apache Spark
Proficiency with Trino
Proficiency with Kubernetes
TS/SCI with a Polygraph

Technologies

Apache AirFlow
Python
Apache Spark
Trino
Kubernetes

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1mo ago

Platform Engineer (Starburst/Trino)

DCI Solutions McLean, VA

McLean, VA

1mo ago Closed

$140k - $180k/yr Full time Apache Ranger Cloud Cloud Platform

This position is no longer accepting applications (closed Jun 30, 2026).

Job Description

This onsite Platform Engineer role in McLean, VA offers a competitive annual salary of USD 140,000 to 180,000 and a comprehensive benefits package. You will focus on Starburst and Trino to create federated analytic environments, connect data lakes and warehouses, and optimize distributed SQL for high‑performance analytics across cloud and on‑prem environments.

Benefits

401(k) plan with employer matching
Health, dental, and vision insurance
Health Savings Account and Flexible Spending Accounts
Life insurance and Employee Assistance Program
Paid time off and parental leave
Flexible schedule
Professional development assistance
Relocation assistance
Tuition reimbursement
Retirement plan

Work location: Onsite in McLean, VA.

Responsibilities

Act as the Starburst Enterprise subject matter expert for the team
Execute cross‑environment queries spanning cloud and on‑prem data sources
Design and implement federated analytic environments
Integrate data lakes and data warehouses into analytics workflows
Tune distributed SQL execution for faster results
Enable high‑performance analytics across platforms
Facilitate data access for AI and ML use cases

Requirements

In‑depth understanding of Starburst Enterprise and Trino architectures
Proficient SQL query optimization and performance tuning capabilities
Hands‑on experience with data lake technologies such as Iceberg, Hive, and Delta Lake
Experience deploying on Kubernetes and containerized platforms
Proficiency with one or more cloud environments (AWS, Azure, or GCP)
Experience with connector integration and resolving data federation issues
Knowledge of JVM memory management and cluster resource tuning
Security and access controls integration (LDAP, SSO, RBAC, Ranger)
Infrastructure automation experience using Terraform, Helm, or scripting
Strong troubleshooting, root cause analysis, and clear customer communication
Active Secret security clearance required

Technologies

Starburst Enterprise
Trino
Iceberg
Hive
Delta Lake
Kubernetes
AWS
Azure
GCP
LDAP
SSO
RBAC
Ranger
Terraform
Helm
Scripting
JVM

Experience

Starburst Enterprise: 5 years (Preferred)
Trino architecture: 5 years (Preferred)
Kubernetes and containerized platform deployment: 3 years (Preferred)
Infrastructure automation: 3 years (Preferred)

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2mo ago

Senior Software Engineer

Amplitude San Francisco, CA

San Francisco, CA

2mo ago Closed

$165k - $276k/yr Full time Backend Developer Senior Clickhouse

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

Amplitude is seeking a Senior Software Engineer to help advance the Nova OLAP engine from our San Francisco campus. In this onsite role, you’ll own critical aspects of query execution, columnar storage, and the distributed compute stack, while shaping caching strategies and cloud infrastructure to boost performance, cost-efficiency, and reliability for a large-scale analytics platform. The compensation for this position ranges from USD 165,000 to 276,000 per year.

Responsibilities

Collaborate across Nova's query execution and distributed compute layers, covering query planning, columnar storage formats, encoding and compression techniques, caching approaches, and cluster-wide resource management.
Develop new capabilities as Nova broadens support for additional warehouse-imported data types, including metrics, profiles, and dimensions.
Ensure Nova remains capable of handling high-throughput automated query workloads, anticipating AI-driven queries and designing for sustained concurrency and programmatic access at scale.
Lead initiatives to reduce infrastructure costs across compute, storage, network, and memory while maintaining or improving latency and throughput.
Profile and optimize JVM performance, focusing on garbage collection tuning, memory management, concurrency, and data layout decisions.
Build guardrails and observability to detect expensive or pathological queries before they affect system performance.
Improve the reliability posture of Nova components you own by identifying failure modes, delivering durable fixes, and enhancing productionIssue detection and response.
Participate in on-call rotations to root-cause incidents and translate one-off fixes into lasting improvements.
Contribute to capacity planning, safe rollout practices, and the operational tooling that keeps Nova healthy.
Design and execute multi-week to multi-month projects within your domain of ownership.
Contribute to technical direction through design docs, architecture discussions, and code reviews.
Pair with and learn from senior and staff engineers, then share insights with peers.
Collaborate with Product, Middleware, Data Pipeline, and other engineering teams to ensure Nova capabilities translate into customer value.

Requirements

At least 3 years of experience in backend or infrastructure engineering with exposure to distributed data systems.
Hands-on work building or extending distributed data systems such as query engines, columnar storage, large-scale data processing frameworks, streaming systems, or storage engines.
Experience reducing cost or improving performance on cloud infrastructure, including compute, storage, and network.
Strong computer science fundamentals in distributed systems (partitioning, replication, consistency, failover), data structures and algorithms, concurrency and multi-threading, and performance optimization.
Production experience with modern cloud infrastructure such as AWS (S3, DynamoDB, EC2), Kafka, Redis/ElastiCache, Kubernetes, Terraform, or strong equivalents.
Proficiency in Java, C++, or Python.
Proven ability to own and deliver significant components of complex systems and collaborate effectively with engineers and partner teams.

Technologies

Nova, AWS, S3, DynamoDB, EC2
Kafka, Redis, ElastiCache, Kubernetes, Terraform
Java, C++, Python
Druid, ClickHouse, Presto/Trino, BigQuery, Snowflake
Arrow, Parquet, ORC

Benefits

Excellent medical, dental, and vision coverage with employee premiums fully paid on select plans.
401(k) retirement plan with employer match up to 1% of eligible pay, up to $2,000 annually.
Flexible time off, paid holidays, and additional benefits.
Generous stipends for wellness, commuting, learning and development, home office needs, and more.
Parental benefits including 12 weeks of paid leave, Carrot Fertility support, and backup child care.
Mental health and wellness support with no-cost access to Modern Health coaching and therapy sessions.
Employee Stock Purchase Program (ESPP).

Who you are

You thrive inside complex distributed systems, understanding data flows, bottlenecks, and how to drive meaningful improvements.
You have hands-on experience building or extending distributed data systems such as query engines, columnar storage, streaming or batch processing frameworks, or storage engines.
You view cost, performance, and reliability as interconnected concerns and communicate tradeoffs clearly.
You articulate technical choices effectively and seek to influence the project through high-quality work and ideas.
You enjoy learning from teammates and helping others through pairing, design reviews, or explaining the rationale behind system designs.

Nice to have

Experience with OLAP or query engines such as Druid, ClickHouse, Presto/Trino, BigQuery, Snowflake, or similar.
JVM specialization including GC tuning, profiling, and memory optimization.
Familiarity with columnar formats and encodings like Arrow, Parquet, ORC, or related formats.
Knowledge of product analytics, experimentation platforms, or event-driven data systems.
Open-source contributions or published work in data infrastructure.

Our values

Humility: operate with empathy and openness to diverse perspectives.
Ownership: take initiative to tackle problems that advance the company’s success.
Growth Mindset: stay persistent, seek feedback, and help others grow.
Customer Centricity: place the customer's success at the center of decisions and actions.

Other fun facts about Amplitude

Our customers consistently rate us as the leading product analytics solution, boasting 23 consecutive quarters on G2.
Significant investments in talent and infrastructure aim to build a powerful AI analytics platform.
We support mentorship, management training, and wellness initiatives across the team.
Amplitude provides charitable giving grants and paid volunteer time off for employees.
Founded in 2012, went public via direct listing in September 2021 and trades under the ticker AMPL.
We operate globally with offices in San Francisco, New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
Our Data Monster mascot embodies our love for numbers, charts, and graphs.

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Presto/trino Engineer Jobs

Sr. Software Engineer (Apache, Python, Trino, Kubernetes)

Platform Engineer (Starburst/Trino)

Senior Software Engineer

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