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

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

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 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 ...

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 ...

... guiding junior team members - Upholding standards in project deliverables - Building and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... guiding junior team members - Upholding standards in project deliverables - Building and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Lead Data Engineer - Data Engineering 4C

New York, NY · On-site

$125K - $150K/yr

... junior team members; 6. Stay current with industry trends and technologies related to Big Data and data engineering; 7. Perform data analysis and troubleshooting to optimize system performance and ...

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.

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

As a Senior Data Engineer, you will contribute to architectural decisions, mentor junior engineers, and build high-scale systems that have meaningful impact on your team and the teams you partner ...

Senior Data Engineer

New York, NY · On-site

$126K - $180K/yr

As a Senior Data Engineer, you will contribute to architectural decisions, mentor junior engineers, and build high-scale systems that have meaningful impact on your team and the teams you partner ...

Mentor junior and mid-level Ab Initio developers * Collaborate with data architects, DBAs, and business analysts on technical design Required Skills * 7+ years ETL development experience; 5+ years ...

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

What we're building: - A finance data platform powering the FAIM org (Full-Funnel Agentic ... more junior engineers as the team grows - AI-native experience for automation and defect ...

Showing results 21-40

Junior Data Engineer information

See Edison, NJ salary details

$34K

$72.8K

$111K

How much do junior data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for junior data engineer in Edison, NJ is $72,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $81,100.00 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 Edison, NJ? The most popular types of Data Engineer jobs in Edison, NJ are:
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What job categories do people searching Junior Data Engineer jobs in Edison, NJ look for? The top searched job categories for Junior Data Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Junior Data Engineer jobs? Cities near Edison, NJ with the most Junior Data Engineer job openings:
Infographic showing various Junior Data Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,814 per year, or $35 per hour.

Sr Data Engineer

datafuelX Inc.

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 7 days ago


Job description

About the Role
We're looking for a Senior Data Engineer that is innovative, curious, and collaborative to help
evolve the data platform that powers our sell-side media business. This role supports
data-driven workflows and a broad range of media monetization use cases, with an emphasis
on scalable, open data architectures.
You'll work on high-volume, revenue-critical media data while helping modernize how data is
stored, processed, and served across the organization. This is a hands-on role for engineers
who enjoy building, migrating, and improving platforms, not just maintaining them.
What You'll Do
  • Design, build, and maintain scalable, reliable data pipelines that support sell-side media
    monetization.
  • Ingest, integrate, transform, and model high-volume media and campaign data from
    multiple sources, delivering analytics-ready datasets that meet quality, accessibility, and
    business requirements.
  • Develop lakehouse-style data models that balance flexibility, performance, and cost
    efficiency, enabling reporting, analytics, operational workflows, and downstream
    consumption.
  • Build, optimize, and maintain ETL/ELT processes for both batch and near-real-time
    workloads, orchestrated with modern workflow tools (e.g., Airflow, Dagster).
  • Collaborate with machine learning, client-facing, product, application, and analytics teams to understand requirements, support ML feature productionization, and enable
    self-service insights.
  • Ensure data quality, lineage, observability, governance, and security, safeguarding cloud
    data assets and maintaining trust in revenue-critical systems.
  • Contribute to platform evolution and migration efforts, including evaluating tools,
    improving workflows, and reducing architectural complexity.
  • Continuously optimize pipelines, queries, and storage for performance, scalability, and
    cost efficiency.
  • Mentor junior engineers and participate in technical design and architecture reviews.
  • Detect, investigate, and resolve data anomalies to maintain pipeline reliability and data
    trustworthiness.

Required Experience & Skills
Core Requirements
  • 5+ years of experience in building highly scalable and reliable data engineering and
    analytics platforms
  • Strong experience building and optimizing modern data pipelines, architectures, and
    datasets using Data Lake, Data Warehouse, and Lakehouse paradigms
  • Advanced SQL, Python, and PySpark skills and experience building analytics-ready data models
  • Experience using Iceberg, Delta, and Parquet data formats
  • Experience using Dagster and Airflow orchestration tools
  • 2+ years hands-on experience with cloud platforms, such as GCP & AWS
  • Experience designing and building data pipelines on object storage-based platforms (e.g., S3, Wasabi, Dremio, Snowflake, Delta Lake) to process and manage large-scale analytical datasets
  • Solid understanding of data quality, testing, monitoring, and operational reliability
  • Strong communication skills and ability to work closely with technical and non-technical
    stakeholders
  • Experience collaborating with Software Engineers using Agile methodologies to build web applications that access, visualize, and sometimes update big data stores in a hybrid OLAP and OLTP environment.
  • Bachelor's degree or equivalent work experience (minimum 5 years) in Computer Science or related field

Preferred/Nice-to-Have
  • Experience in media industry strongly preferred including familiarity with sell-side
    concepts (linear TV or digital inventory, campaign delivery, pacing, audience-based selling and measurement)
  • 1+ years experience supporting or leading data platform migrations, hybrid architectures, or warehouse-to-lakehouse transitions using Dremio is a strong plus
  • Experience with Tableau, Metabase, or other data visualization tools
  • Experience working in an operational environment with time-sensitive customer
    commitments