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Internship Performance Engine Tuning Jobs in Manhattan, NY

Gemini

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

... engine performance tuning. * Demonstrated SRE mindset: experience building automation, self-service tooling, and guardrails that eliminate manual, repetitive database operations rather than ...

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Internship Performance Engine Tuning information

See Manhattan, NY salary details

$10

$19

$26

How much do internship performance engine tuning jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship performance engine tuning in Manhattan, NY is $19.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $21.20 per hour, depending on experience, location, and employer.

What is the difference between Internship Performance Engine Tuning vs Performance Engine Tuner?

AspectInternship Performance Engine TuningPerformance Engine Tuner
CredentialsTypically pursuing or recent graduate, basic knowledgeRelevant certifications or experience in engine tuning
Work EnvironmentTraining setting, supervised projectsProfessional workshop or automotive shop
Industry UsageEntry-level, learning phaseFull-time, specialized role in automotive industry
Search IntentLearning, entry-level opportunitiesProfessional tuning and performance optimization

Internship Performance Engine Tuning is an entry-level position focused on learning and gaining experience under supervision, while Performance Engine Tuner is a professional role requiring experience and certifications to optimize engine performance in a commercial setting.

What kind of projects or tasks can I expect to work on during an internship in performance engine tuning?

As an intern in Performance Engine Tuning, you’ll typically assist with data collection and analysis from engine tests, help calibrate engine control parameters, and support the team in optimizing engine performance for power, efficiency, or emissions targets. You may also contribute to diagnostic troubleshooting and participate in simulation or dynamometer testing. Collaboration with senior engineers and cross-functional teams is common, offering valuable exposure to both technical and team-based problem-solving.

What is an internship performance engine tuning?

Internship Performance Engine Tuning positions are internship roles focused on optimizing and improving engine performance, typically within automotive or motorsports industries. These internships give students or recent graduates hands-on experience with engine calibration, diagnostics, data analysis, and testing. Interns work with experienced engineers to fine-tune engine parameters for increased power, efficiency, and reliability. It's a great way to gain technical skills and industry knowledge, especially for those interested in automotive engineering or high-performance vehicles.

What are the key skills and qualifications needed to thrive as an internship performance engine tuning specialist, and why are they important?

To excel in an Internship Performance Engine Tuning role, a solid understanding of automotive engineering principles, engine mechanics, and coursework in mechanical or automotive engineering are essential. Familiarity with engine management software, diagnostic tools, and data logging systems—plus basic programming or calibration tool proficiency—is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and troubleshoot complex issues. These abilities are critical for optimizing engine performance while ensuring reliability, safety, and regulatory compliance in real-world automotive applications.
What cities near Manhattan, NY are hiring for Internship Performance Engine Tuning jobs? Cities near Manhattan, NY with the most Internship Performance Engine Tuning job openings:
Internship Performance Engine Tuning jobs near you
Infographic showing various Internship Performance Engine Tuning job openings in Manhattan, NY as of August 2026, with employment types broken down into 25% Full Time, 50% Part Time, and 25% Temporary. Highlights an 100% In-person job distribution, with an average salary of $39,725 per year, or $19.1 per hour.

Sr Data Engineer, Python + Spark (Data Federation skillset - Data Lakehouse - Eg: Starburst) - N...

Photon

Manhattan, NY • On-site

$125K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Senior Data Engineer (Data Federation & Lakehouse)

As a Senior Data Engineer, you will be responsible for breaking down data silos. This role focuses on building a unified, high-performance data layer using Data Federation techniques. You won't just move data; you will architect a Data Lakehouse environment where disparate sources feel like a single, cohesive database for our analytics and AI teams.

### Core Responsibilities

  • Data Federation Architecture: Design and implement federated query layers (e.g., Starburst/Trino) to allow high-speed analytics across distributed data sources without unnecessary data movement.
  • ETL/ELT Pipeline Development: Build scalable, distributed data processing pipelines using Python and Apache Spark (PySpark).
  • Lakehouse Implementation: Manage and optimize modern table formats like Delta Lake, Apache Iceberg, or Hudi to bring ACID transactions to our data lake.
  • Performance Tuning: Optimize Spark jobs and SQL queries across the federation layer to minimize latency and manage compute costs.
  • Governance & Security: Implement fine-grained access control and data masking within the federation engine to ensure data privacy across all connected platforms.

### Technical Requirements

  • Python & Spark: 5+ years of experience with Python and deep expertise in Apache Spark tuning (partitioning, shuffling, caching).
  • Data Federation Tools: Hands-on experience with Starburst Enterprise, Trino (Presto), or Dremio.
  • Lakehouse Ecosystem: Proven track record working with Delta Lake or Iceberg architectures.
  • Cloud Platforms: Extensive experience with AWS (EMR, S3, Glue), Azure (Databricks, ADLS), or GCP.
  • SQL Mastery: Expert-level SQL skills for complex analytical queries and query plan analysis.
  • Data Modeling: Proficiency in designing Star/Snowflake schemas and understanding "Medallion Architecture" (Bronze, Silver, Gold layers).

### Preferred "Bonus" Skills

  • Experience with Infrastructure as Code (IaC) like Terraform or Pulumi.
  • Familiarity with dbt (data build tool) for modeling within the federation layer.
  • Knowledge of Kubernetes (K8s) for deploying and scaling Spark/Trino clusters.

  • Background in Data Mesh or Data Fabric methodologies.
    Compensation, Benefits and Duration

    Minimum Compensation: USD 40,000
    Maximum Compensation: USD 140,000
    Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
    Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
    This position is not available for independent contractors
    No applications will be considered if received more than 120 days after the date of this post

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