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Junior Data Engineer Jobs in Hackensack, NJ (NOW HIRING)

Lead Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Mentor junior engineers and influence the team's technical direction through standards, reviews ...

Lead Data Engineer

Jersey City, NJ · On-site

$147K - $190K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Mentor junior engineers and influence the team's technical direction through standards, reviews ...

Lead Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Mentor junior engineers and influence the team's technical direction through standards, reviews ...

Lead Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of ... Mentor junior engineers and influence the team's technical direction through standards, reviews ...

GCP Data Engineer

Jersey City, NJ · Remote

$119K - $143K/yr

GCP Data Engineer Remote, US $75-85k plus bonus plus benefits For more information on benefits and ... We provide guidance/ coaching to every employee through our mentoring program wherein every junior ...

Sr Data Engineer

New York, NY · On-site

$125K - $150K/yr

Mentor junior engineers and participate in technical design and architecture reviews. * Detect, investigate, and resolve data anomalies to maintain pipeline reliability and data trustworthiness.

Sr Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

Mentor junior engineers and participate in technical design and architecture reviews. * Detect, investigate, and resolve data anomalies to maintain pipeline reliability and data trustworthiness.

Lead Data Engineer

Manhattan, NY · On-site

$80 - $88/hr

Collaborate with cross-functional teams and mentor junior engineers. Required Qualifications 9-12+ Experience in Data Engineering. Strong proficiency in Python and/or Java with Spark/PySpark.

GCP Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

GCP Data Engineer Remote, US $75-85k plus bonus plus benefits For more information on benefits and ... We provide guidance/ coaching to every employee through our mentoring program wherein every junior ...

Sr Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... junior engineers and participate in technical design and architecture reviews. • Detect, investigate, and resolve data anomalies to maintain pipeline reliability and data trustworthiness.

Senior Data Engineer

New York, NY · On-site

$120K - $121K/mo

Senior Data Engineer Location: USA - NY, SLC, TX, UT, Dallas, New York City (Onsite) Job Summary ... Mentor junior engineers in large-scale system architecture and distributed processing. * Work ...

Partnering with client teams and data engineers to ensure models are production-ready, scalable ... Mentoring junior data scientists and analysts, actively investing in the team's technical depth and ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

... Engineering Develop and maintain cloudbased data solutions using Azure AWS or GCP Optimize storage ... junior team members Data Governance Security Implement data governance policies and standards ...

Partnering with client teams and data engineers to ensure models are production-ready, scalable ... Mentoring junior data scientists and analysts, actively investing in the team's technical depth and ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

... Engineering Develop and maintain cloudbased data solutions using Azure AWS or GCP Optimize storage ... junior team members Data Governance Security Implement data governance policies and standards ...

Data Engineer II

New York, NY · On-site

$145K - $165K/yr

Within it, the Data Platform Engineering team owns two critical pillars: * Data Ingestion ... Experience supporting or mentoring junior team members. Location This role is open to candidates in ...

Data Scientist- Senior Associate

Montvale, NJ · On-site

$61K - $62K/yr

... engineers, and providing technical leadership to junior data scientists. Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context ...

Guide junior engineers and influence team direction. Required: * Bachelor's in computer science or ... Expertise in data architecture, ETL, and BI solutions. * Preferably, healthcare domain experience.

Showing results 21-40

Junior Data Engineer information

See Hackensack, NJ salary details

$36.5K

$78.3K

$119.4K

How much do junior data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior data engineer in Hackensack, NJ is $78,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $87,300.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

What are the most commonly searched types of Data Engineer jobs in Hackensack, NJ?

The most popular types of Data Engineer jobs in Hackensack, NJ are:

What job categories do people searching Junior Data Engineer jobs in Hackensack, NJ look for?

The top searched job categories for Junior Data Engineer jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Junior Data Engineer jobs?

Cities near Hackensack, NJ with the most Junior Data Engineer job openings:

Infographic showing various Junior Data Engineer job openings in Hackensack, NJ as of August 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $78,308 per year, or $37.6 per hour.

Lead Data Engineer

JPMorgan Chase & Co

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Medical, Retirement

Posted 24 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks


Job description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

  • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way

  • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability

  • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations

  • Model and transform data for analytics using SQL to support business intelligence and reporting workloads

  • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design

  • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions

  • Own critical data systems by improving reliability, scalability, security, and operational excellence

  • Mentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing

  • Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements

  • Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering concepts and 5+ years applied experience

  • Demonstrated experience delivering in an agile, fast-paced engineering environment. Hands-on professional experience actively coding as a data engineer

  • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)

  • Strong understanding of creating and maintaining data models (conceptual, logical, and physical), including dimensional and normalized modeling approaches
  • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)

  • Experience with large-scale distributed data processing and performance tuning

  • Hands-on experience with modern data warehousing/lakehouse technologies. Strong SQL skills and experience with SQL-based transformation tooling 

  • Experience designing and operating orchestration pipelines using Airflow or similar tools

  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity

  • Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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