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New Grad Data Engineer Jobs (NOW HIRING)

Tandym Tech

Data Engineer

Millburn, NJ · On-site

$114K - $137K/yr

A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team. About the Opportunity: * Shift: Day shift * Schedule: Monday to ...

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$177.5K

How much do new grad data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for new grad data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

More about New Grad Data Engineer jobs
What cities are hiring for New Grad Data Engineer jobs? Cities with the most New Grad Data Engineer job openings:
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New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Associate Data Engineer

Associate Data Engineer

New York Power Authority

White Plains, NY • On-site

$102K - $128K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Power the Future of New York

At the New York Power Authority, we're not just part of the energy landscape-we're leading the charge toward a carbonfree, resilient, and economically vibrant New York. Our work keeps the state moving, innovating, and thriving.

Summary

We are seeking an Associate Data Engineer to join our growing Data Engineering organization. As NYPA continues to accelerate its data modernization, AI adoption, and cloudbased product development, this role will play a key part in building scalable data pipelines and supporting enterprise analytics and AI initiatives.

In this handson engineering position, you will design, develop, and maintain data pipelines that power NYPA's data products, AI platforms, and analytics use cases. You will collaborate closely with senior and lead data engineers, governance teams, and business stakeholders to translate requirements into highquality, productionready data solutions.

What You'll Do

  • Build, enhance, and debug scalable data pipelines and integrations
  • Translate business and technical requirements into data engineering solutions
  • Collaborate with lead data engineers and cross functional partners, including AI Fusion teams
  • Support development of data products aligned with NYPA's analytics and AI strategies
  • Work with cloud and distributed data processing tools to deliver reliable, high quality data

The successful candidate will demonstrate hands on experience with data pipelines, using tools like Python, PySpark, Azure Data Factory, and Databricks. They will demonstrate strong communication and collaboration skills, and a curiosity for new technology developments.

This is an excellent opportunity for an early career data engineer seeking growth, exposure to modern cloud data technologies, and the chance to contribute directly to NYPA's digital transformation.

#LI-JP1

Responsibilities
  • Develop data solutions that are flexible, extensible, elastic, secure and reliable at large scale.
  • Work with Lead Data Engineer to provide guidance and direction to project teams ensuring compliance with coding standards and best practices.
  • Collaborate with Data Governance team to capture and manage meta data, and implement data quality rules.
  • Building and managing data pipelines, data products, integrations and promoting production.
  • Develop Application Integrations, APIs and Microservices using hybrid cloud architecture.
  • Continuously learn and be at the leading edge of Data/Application Integration, Cloud, Containerization, and other industry trends.
  • Work with stakeholders including product, data and business teams to assist with data-related technical issues and support their data infrastructure needs.
  • Follow Cyber security guidelines and polices to monitor the company's data security and privacy.
  • Build and maintain batch data pipelines for structured and semi-structured data * Support ingestion and preprocessing of unstructured data.
  • Implement basic data quality validations (schema checks, null checks).
  • Assist in preparing AI-ready datasets for analytics, AI/ML and GenAI use-cases.
  • Support implementation of data contracts through schema validation and data checks.
Knowledge, Skills and Abilities
  • Practical experience in traditional and cloud data management components (MS SQL, RDS, Athena, or similar).
  • Practical experience in metadata driven ingestion framework, building data pipelines and data sets.
  • Working-level familiarity with DevOps and Agile methodologies.
  • Strong analytical skills.
  • Practical understanding of cloud security policies and concepts. * Exposure to data governance and quality tools.
  • Experience with data integration, ETL/ELT orchestration, and application integration using APIs, messaging, or service-based architectures.
  • Basic understanding of AI/ML data requirements (training vs inference datasets), structured, semi-structured and unstructured data processing.
  • Exposure to streaming concepts, data parsing, text processing.
  • Familiarity with data quality and observability concepts.
Education, Experience and Certifications
  • Bachelor of Science Degree in MIS or Computer Science/Engineering (or similar) is required.
  • Minimum of 2 years of Data Engineering experience.
  • Experience developing microservices, serverless components, or distributed data processing solutions.
  • Hands-on experience with at least one data integration, data pipelines or application integration platform.
  • Practical scripting or programming experience across languages applicable to data engineering workloads.
  • Cloud platform certification is preferred.
Physical Requirements

Willingness to travel if necessary

The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The estimated salary range for this position is: $102,000 - $128,000. The salary offered will be determined based on the successful candidates' relevant experience, knowledge, skills, and abilities.

The New York Power Authority and Canal Corporation believes that diversity, equity, and inclusion drive our success, and we encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents and veterans to apply. As an equal opportunity employer, NYPA/Canals is committed to building inclusive, innovative work environments with employees who reflect communities across New York and enthusiastically serve them. We proudly celebrate diversity and do not discriminate based on race/color, creed/religion, national origin, citizenship or immigration status, age, disability, military status, gender/sex, sexual orientation, gender identity/expression, pregnancy and related conditions, familial/marital status, domestic violence victim status, predisposing genetic characteristics, arrest/criminal conviction record or any other category protected by law.
NYPA/Canals will also provide reasonable accommodations during the hiring process related to candidates' disabilities, pregnancy-related conditions, religious observances/practices and/or domestic violence concerns. To request an accommodation, please emailaccessibility@nypa.gov.

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