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Data Engineer Jobs in Warren, NJ (NOW HIRING)

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

Job Title: Sr Data Engineer Location: Jersey City, NJ(Hybrid). Duration: 6-12 Months Rate: DOE : We are seeking a hands-on Data Engineer with strong experience in building scalable enterprise data ...

SysMind Tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location- New York, NY JD- Must have finance (investment/capital markets) experience We are looking for an experienced Data Engineer with expertise in SQL, python, and strong data ...

Beghou Consulting

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next ...

The Cypress Group

Data Engineer

New York, NY · Hybrid

$150K - $183K/yr

They are currently expanding their Data Engineering team based in New York City, NY. This role is hybrid on-site in the NYC Headquarters. Qualified candidates will have 3+ years of professional hands ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in ...

SciTec

Data Engineer

Princeton, NJ · On-site

$121K - $145K/yr

They are seeking a Data Engineer to design, build, and maintain scalable infrastructure for resource and project management, collaborating with stakeholders to support analytics use cases.

Beghou Consulting

Data Engineer

Princeton, NJ

$120K - $144K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next ...

Dlapiper

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer Location: Princeton, NJ, USA Mandatory Skills: Key Skills & Technologies * Programming Languages: Python (primary), SQL * Cloud Platforms: AWS (S3, Glue, Lambda, Redshift, EC2, EMR)

Dlapiper

Data Engineer

Short Hills, NJ · On-site

$124K - $149K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

SciTec

Data Engineer

Princeton, NJ · On-site +1

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal ...

GEI Consultants

Data Engineer

Manhattan, NY

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

The Cypress Group

Data Engineer

New York, NY · Hybrid

$200K - $230K/yr

The Data Engineer needs 3-5+ years of experience working as a Data Engineer building pipelines and ingestion/analytics engines w/ Python, SQL, ETL, DBT, AWS tooling, PostgreSQL, etc. ~70% pure Data ...

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 ...

SciTec

Data Engineer

Princeton, NJ · On-site

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal ...

SciTec

Data Engineer

Princeton, NJ · On-site

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal ...

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type: Contract Note: Interview mode: (Final round will be in person Interview at client location) Note:

Empower Professionals

Data Engineer

Jersey City, NJ · On-site

$60/hr

Data Engineer Location: Jersey City, NJ (Hybrid) Duration: 12+ Months In-person interview needed Must have: Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and New Jersey :- Required Skills: * Proficiency in data engineering programming languages (preferably ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Warren, NJ

Data Engineer information

See Warren, NJ salary details

$46.2K

$134.7K

$184.3K

How much do data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer in Warren, NJ is $134,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $142,800.00 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 Warren, NJ? The most popular types of Data Engineer jobs in Warren, NJ are:
What are popular job titles related to Data Engineer jobs in Warren, NJ? For Data Engineer jobs in Warren, NJ, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Warren, NJ look for? The top searched job categories for Data Engineer jobs in Warren, NJ are:
What cities near Warren, NJ are hiring for Data Engineer jobs? Cities near Warren, NJ with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Warren, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $134,710 per year, or $64.8 per hour.

Data Engineer

TiltEdge Solutions LLC

Jersey City, NJ • On-site

$75/hr

Contractor

Re-posted 5 days ago

Job description

Job Title: Sr Data Engineer 
 
Location:  Jersey City, NJ(Hybrid). 
 
Duration: 6-12 Months
 
Rate: DOE
 
 
Job Description:
 
We are seeking a hands-on Data Engineer with strong experience in building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud-based data platforms, modern data engineering practices, and large-scale data integration initiatives supporting operational, analytical, and regulatory data needs.
This role requires strong technical capabilities in data pipeline development, cloud data processing, Master Data Management (MDM), and enterprise data integration. The candidate should be comfortable working across complex distributed environments and partnering with architecture, analytics, governance, and business teams to deliver reliable, secure, and scalable data solutions.
 
Key Responsibilities:
•                    Design, develop, and support scalable data pipelines and enterprise data integration solutions.
•                    Build and maintain batch and real-time data ingestion, transformation, and processing frameworks.
•                    Develop cloud-native data engineering solutions supporting enterprise data lake, warehouse, and lakehouse platforms.
•                    Implement ETL/ELT processes for structured, semi-structured, and unstructured data sources.
•                    Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains.
•                    Collaborate with data architects, business analysts, governance teams, and application teams to support enterprise data initiatives.
•                    Implement data quality validation, monitoring, metadata management, and lineage processes.
•                    Support cloud migration and modernization efforts involving legacy and enterprise data platforms.
•                    Optimize data processing, storage, and pipeline performance for scalability and operational efficiency.
•                    Ensure compliance with enterprise security, governance, and regulatory standards within financial services environments.
•                    Support reporting, analytics, and downstream consumption platforms through reliable and trusted data delivery.
 
Required Skills & Experience:
•                    Strong hands-on experience in Data Engineering and enterprise-scale data integration.
•                    Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions.
•                    Experience working with modern cloud-based data platforms and data ecosystems.
•                    Hands-on expertise with Strong SQL expertise along with programming/scripting experience in Python, PySpark, or Snowpark.
•                    Experience with dbt (Data Build Tool) for:
·               Data transformation and modeling
·               ELT pipeline development within Snowflake/Databricks
·               Modular, reusable SQL-based data workflows
·               Data testing, documentation, and version control integration
•                    Experience with cloud platforms such as Azure, AWS, or GCP, including integration with Snowflake and Databricks.
•                    Solid understanding of data lake, data warehouse, and lakehouse architectures, and their implementation across platforms.
•                    Experience with orchestration and workflow tools (e.g., Airflow, Databricks Workflows, Snowflake Tasks) for pipeline scheduling and automation.
•                    Experience supporting Master Data Management (MDM) and enterprise data governance initiatives.
•                    Familiarity with metadata management, data lineage, data cataloging, and data quality processes.
•                    Experience integrating diverse data sources, including:
·               APIs and microservices
·               File-based ingestion (batch)
·               Real-time/streaming data (e.g., Kafka, Spark Streaming)
•                    Knowledge of performance tuning, cost optimization, and scalability techniques across both Spark-based and Snowflake environments.
•                    Understanding of enterprise security, compliance, and governance standards, including RBAC, data masking, and encryption.
•                    Experience working in Agile and DevOps environments, including CI/CD for data pipelines.
 
Preferred Qualifications:
•                    Financial Services or Banking industry experience preferred.
•                    Experience supporting regulatory, risk, compliance, or operational reporting data environments.
•                    Exposure to real-time data processing and streaming technologies.
•                    Familiarity with CI/CD processes and infrastructure automation.
•                    Strong analytical, troubleshooting, and problem-solving skills.
•                    Excellent communication and collaboration skills.
 
Education:
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
 
Job Responsibilities
•                    Design, develop, and support scalable data pipelines and enterprise data integration solutions.
•                    Build and maintain batch and real-time data ingestion, transformation, and processing frameworks.
•                    Develop cloud-native data engineering solutions supporting enterprise data lake, warehouse, and lakehouse platforms.
•                    Implement ETL/ELT processes for structured, semi-structured, and unstructured data sources.
•                    Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains.
•                    Collaborate with data architects, business analysts, governance teams, and application teams to support enterprise data initiatives.
•                    Implement data quality validation, monitoring, metadata management, and lineage processes.
•                    Support cloud migration and modernization efforts involving legacy and enterprise data platforms.
•                    Optimize data processing, storage, and pipeline performance for scalability and operational efficiency.
•                    Ensure compliance with enterprise security, governance, and regulatory standards within financial services environments.
•                    Support reporting, analytics, and downstream consumption platforms through reliable and trusted data delivery.