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Data Engineer Jobs in Summit, NJ (NOW HIRING)

Courier Health

Data Engineer

New York, NY · On-site

$120K - $150K/yr

About the Team You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and ...

Apptad, Inc.

Data Engineer

Manhattan, NY · On-site

$616/day

Data Engineer Job location: New York City, NY (Hybrid, 3 days in a week) Job Type: W2 Contract Looking for skilled Data engineer with comprehensive experience in designing, developing, and ...

Michael Kors

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

The Data Engineer is a key member of the Global Data Platforms Team reporting to the Director of IT Data Operations. The Data Engineer will be responsible for building data delivery services that ...

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 that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

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 that keep our data infrastructure clean, timely, and trustworthy. This is a hands-on individual ...

Candid Health

Data Engineer

New York, NY · On-site

$165K - $205K/yr

As an early Data Engineer, you'll play a key role in designing, building, and supporting the next generation of our data infrastructure. This is an opportunity to get in at the ground floor of ...

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Client: Mizuho bank Visa: ANY Looking for skilled Data engineer with comprehensive experience ...

New

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Michael Kors

Data Engineer

East Rutherford, NJ · On-site

$116K - $140K/yr

The Data Engineer is a key member of the Global Data Platforms Team reporting to the Director of IT Data Operations. The Data Engineer will be responsible for building data delivery services that ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions * Ingest and transform data from diverse sources (S3, RDS, DynamoDB ...

Motion Recruitment Partners, LLC

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Grow your career as a Data Engineer with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 ...

Keystone

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Data Engineer will lead the design and implementation of scalable data workflows and infrastructure, while mentoring junior engineers and collaborating with cross-disciplinary teams to deliver ...

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 reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented ...

Arlo

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking a Data Engineer to build and maintain data pipelines, ensuring reliable data infrastructure that supports underwriting and pricing models. Responsibilities : • Build and maintain ...

Veolia Environnement SA

Data Engineer

Paramus, NJ · Hybrid

$169K - $175K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support enterprise analytics, reporting, and AI initiatives. This role ensures ...

Navtech, Inc.

"Data Engineer"

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Location: Remote Duration: 6 to 12 Months Contract Client: Deloitte Required Skills Must have strong programming skills in Python & SQL. Python, Pyspark, AWS, EMR, Reshift, EMR. 3 to 6 ...

Cognition

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Summit, NJ

Data Engineer information

See Summit, NJ salary details

$47.3K

$137.8K

$188.6K

How much do data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer in Summit, NJ is $137,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $146,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Summit, NJ? The most popular types of Data Engineer jobs in Summit, NJ are:
What cities near Summit, NJ are hiring for Data Engineer jobs? Cities near Summit, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Summit, NJ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, 3% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,836 per year, or $66.3 per hour.

Data Engineer

Courier Health

New York, NY • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Courier Health is on a mission to solve one of the biggest and most meaningful opportunities in healthcare: reinvent how people living with chronic and rare diseases are supported.
We are building the future of patient engagement for life sciences companies. Our software is leveraged by biopharma companies to support patients in their complex journey from diagnosis to initiating and remaining on therapy to achieve optimal health outcomes.
About the Team
You'll join an early and growing data engineering team that's shaping the foundations of our data platform. We're investing in a modern transformation layer, reliable pipelines, and richer in-product analytics for our clients and you'll have real influence over how that gets built.
About the Role
You'll be one of the first data engineers on our team. This is hands-on, high-ownership work: building our transformation layer, strengthening our analytics pipelines, and creating the data models that power both internal reporting and the analytics our clients see inside the product.
What You'll Do
  • Build data models: develop dbt models and SQL transformations, backed by tests, that turn raw data into reliable datasets.
  • Improve pipeline reliability: help monitor our replication and orchestrated pipelines, investigate data issues, and add quality checks.
  • Power reporting: build and refine the datasets and dashboards that internal teams and clients rely on.
  • Learn and grow: work closely with senior engineers, take part in code review, and steadily take on more ownership.

Who You Are
We're open on exact tools - we care about fundamentals and trajectory. You'll likely have most of the following:
  • 3-5 years of professional data engineering experience
  • Strong SQL: you write correct, readable SQL and understand relational data modeling
  • Data experience: you've developed data pipelines and transformations in production environments
  • Eagerness to learn: you take feedback well, ask good questions, and are excited to grow as a data engineer

Nice to have: exposure to dbt, CDC / replication or orchestration tools (e.g. Estuary Flow, Debezium/Kafka, Airflow), a cloud data warehouse (ex. Redshift), a BI tool (ex. Sigma, Looker); comfort with PostgreSQL or a similar database.
Our stack
  • Databases: PostgreSQL across our production and analytics environments, with room to grow into a cloud warehouse (ex. Redshift) as we scale
  • Ingestion: CDC / streaming replication into analytics (evaluating tools like Estuary Flow and Debezium/Kafka)
  • Transformation: building out a version-controlled, dbt-based staging/marts layer with data tests and CI/CD
  • Orchestration: scheduled, observable pipeline runs (e.g. Airflow or similar)
  • BI & embedded analytics: a modern BI and embedding platform (we use Sigma) for internal reporting and in-product client analytics, with a maturing semantic/metrics layer
  • Domain: life sciences / healthcare data; comfort working in HIPAA-aware, PHI-handling environments is a plus
Benefits
  • 100% paid employee health benefit options (including medical, dental, and vision)
  • 401(k) with employer funded match
  • Unlimited Vacation
  • Commuter Benefits
  • Paid parental leave
  • Catered lunch on Fridays
  • Wellness stipend

The annual salary range for the target level for this role is $120,000-$150,000 + equity + benefits, including medical, dental, and vision. Final compensation will be determined based on a variety of factors including relevant experience, interview performance, and internal equity.
Courier Health is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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