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Data Engineer Project Jobs in New York (NOW HIRING)

Lightning AI

Data Engineer

New York, NY

$125K - $150K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role ... You drive projects from conception to production without waiting to be told what to do next. What ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

Prefer Local to New Jersey as its Hybrid role Someone from financial project background We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable ...

Syntricate Technologies

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Syntricate Technologies is seeking an AWS Data Engineer with extensive experience in data ... project management services. Founded in 2004, the company is headquartered in Boston, USA, with a ...

Carlyle

Data Engineer

New York, NY · On-site

$150K - $200K/yr

Lead software development projects end to end involving large language models (LLMs), retrieval ... At least 6 years of experience in data engineering or a related discipline, with a proven track ...

Arlo

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... your projects end-to-end -- from initial scoping through to production deployment and ongoing ...

Arlo

Data Engineer

New York, NY · On-site

$180K - $220K/yr

We're hiring a Data Engineer to build and maintain the pipelines, models, and monitoring systems ... your projects end-to-end - from initial scoping through to production deployment and ongoing ...

Carlyle

Data Engineer

New York, NY

$150K - $200K/yr

Lead software development projects end to end involving large language models (LLMs), retrieval ... At least 6 years of experience in data engineering or a related discipline, with a proven track ...

André Global, Inc.

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Trinity Technology Solutions

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Strong knowledge of databases, data modeling (star/snowflake), and data engineering best practices ... Good project management skills; able to prioritize tasks and deliver improvements on time.

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Leading projects from a technical standpoint, creating project Technical Design Documents * Support data analysts and analytics engineers ability to meet the needs of the organization * Participate ...

1 point system

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

Project: * This is going to act as a tech lead/principal engineer within the Rebate Data Warehouse team. Why is req open? * Backfill for someone who had left - this has been a gap for a few months ...

Purview Services

Data engineer

Manhattan, NY · On-site

$126K - $151K/yr

Senior Data Engineer, BI Location: Long Island City, NY Work Arrangement: Hybrid - 1 day per week ... Experience with large-scale data migration projects. * Hands-on experience with Oracle . * Strong ...

New

Syntricate Technologies

Sr. Data Engineer

Montvale, NJ · On-site

$119K - $143K/yr

Job Summary : Syntricate Technologies is seeking a Senior Data Engineer to develop and design ... project management services. Founded in 2004, the company is headquartered in Boston, USA, with a ...

Basis Research

Data Engineer, Platform

New York, NY · On-site

$125K - $150K/yr

About the Role Data Engineers on the Platform team at Basis build trustworthy data pipelines with ... You will work on both platform-specific data needs and cross-project data coordination, preventing ...

Infosys Limited Digital

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

... similar projects Your contribution to the team: • A collaborative spirit and excellent ... data engineering. Strong hands-on expertise in GCP, including BigQuery and related cloud data ...

Omnicom

Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

As a Data Engineer, you will have the opportunity to contribute to end-to-end platform design for ... Experience using Project Management tools such as Jira is a plus Experience creating data ...

Brooksource

Data Engineer

Morristown, NJ · On-site

$50 - $70/hr

Data Engineer Remote Compensation: $50 - $70 per hour ABOUT THE ROLE Our client is seeking a ... Demonstrated ability to drive projects forward with minimal oversight and direction * Experience ...

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All JobsData Engineer Project JobsData Engineer Project Jobs in New York

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in New York?

For Data Engineer Project jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in New York look for?

The top searched job categories for Data Engineer Project jobs in New York are:

What cities in New York are hiring for Data Engineer Project jobs?

Cities in New York with the most Data Engineer Project job openings:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Engineer

Lightning AI

New York, NY

$125K - $150K/yr

Full-time

Re-posted 3 days ago

Job description

About the Role

We're moving fast, and our data infrastructure needs to keep up. GPU telemetry, product usage, and operational signals are accumulating faster than our pipelines can surface them. We're at the stage where the right data foundation unlocks everything: better product decisions, faster model iteration, and cleaner ops. As our first Data Engineer, you will help us get there.

This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented lineage, and signal flowing to where it's needed. You drive projects from conception to production without waiting to be told what to do next.

What You'll Do
  • Design and own ETL/ELT pipelines that move GPU telemetry, product usage, operational data, and customer data from where it lives to where it's useful
  • Build and maintain the clean, documented tables that analysts and data scientists actually work from - not raw dumps
  • Own data quality end-to-end: schema management, freshness monitoring, lineage tracking, and alerting when something breaks
  • Partner with engineering and GTM teams to instrument what isn't already tracked
  • Work closely with product, infra, and ML teams, primarily unblocking them
What You'll Need
  • 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
  • Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
  • Strong technical foundation with expertise in SQL, Python, and modern data stack tools (dbt, SQLMesh, etc)
  • Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
  • Demonstrated ability to balance strategic thinking with hands-on technical leadership
  • Strong communication skills with the ability to translate complex technical concepts for diverse audiences
  • Experience scaling analytics functions from early stage to maturity in rapidly changing environments
  • Track record of establishing data governance, quality standards, and best practices
  • A bias for action and urgency, not letting perfect be the enemy of the effective
  • A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end
Location

We work in-person from our NYC office 2 days a week-we've found it accelerates how fast we ship.

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