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Data Engineer Python Jobs in New Jersey (NOW HIRING)

Syntricate Technologies

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and ...

1 point system

Data Engineer (AWS & Python)

Newark, NJ · On-site

$119K - $143K/yr

Proven experience as a Data Engineer building production-grade data pipelines. * Python: Expert-level scripting and data manipulation skills (Pandas, PySpark, etc.). * AWS Ecosystem: Hands-on ...

Lawrence Harvey

Data Engineer

Edison, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

The ideal candidate will have: • 5-10 years of data engineering experience. • Proficient in coding in Python, PySpark, Java 17/21, Spring Boot, and SQL Databases. • Strong hands-on experience ...

Recruit Professional Services

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell, and R. * Design, write, and optimize SQL queries for performance and scalability. * Help modernize ...

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Must have: -Python -Apache Airflow/DBT -Communication, both written & verbal -Kubernetes -OpenShift -8+ years of experience We are seeking a highly skilled Senior Data Engineer with 8+ years of hands ...

Precision Technologies Corp

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Hands-on knowledge of Data Service Engineer to design, develop, and maintain our Reference Data System utilizing modern data technologies including Kafka, Snowflake, and Python. Responsibilities:

United States Cold Storage

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Write clean, maintainable SQL and Python code to support data transformation and pipeline ...

United States Cold Storage Inc

Data Engineer I

Camden, NJ · On-site

$115K - $138K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Write clean, maintainable SQL and Python code to support data transformation and pipeline ...

USCS

Data Engineer I

Camden, NJ · On-site

$90K - $100K/yr

Data Engineer I Who We Are US Cold owns and operates one of the most complex temperature-controlled ... Write clean, maintainable SQL and Python code to support data transformation and pipeline ...

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Data Engineer Python information

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$23.4K

$142.1K

$205.6K

How much do data engineer python jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data engineer python in New Jersey is $142,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,200.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a data engineer python?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What does a data engineer python do?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the key skills and qualifications needed to thrive in the data engineer python position?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.

What are popular job titles related to Data Engineer Python jobs in New Jersey?

For Data Engineer Python jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Engineer Python jobs in New Jersey look for?

The top searched job categories for Data Engineer Python jobs in New Jersey are:

Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $142,104 per year, or $68.3 per hour.

Data Engineer - Python, dbt & Oracle

Jersey City, NJ • On-site

Interon IT Solutions
See more jobs at Interon IT Solutionsexternal

Contractor

Posted 12 days ago

Key responsibilities

  • Assess, redesign, and migrate legacy Perl scripts, RunMyJobs workflows, and PL/SQL scheduling logic to Python scripts and Apache Airflow DAGs

  • Design, build, and deploy production-grade Airflow DAGs for complex, interdependent enterprise batch workflows

  • Build and maintain data transformation workflows using dbt

Job description

Job Title: Data Engineer – Python, dbt & Oracle

Location: Jersey City, NJ – Hybrid, 3 days onsite

Worksite: 185 Hudson Street, Suite 1150, Jersey City, NJ 07311

Work Authorization: U.S. Citizens and Green Card holders only

Candidate Requirement: Local candidates only

Interview Process: First-round video interview followed by a two-hour onsite final interview

Position Overview

Our Client is seeking an experienced Data Engineer to support a major data infrastructure modernization initiative. This project involves assessing and modernizing approximately 700–800 legacy Perl scripts and RunMyJobs/PL/SQL scheduling workflows.

The selected candidate will help migrate these legacy processes to a modular, observable, and testable data platform using Python, dbt, Apache Airflow, and Oracle 19c.

Key Responsibilities

  • Assess, redesign, and migrate legacy Perl scripts, RunMyJobs workflows, and PL/SQL scheduling logic to Python scripts and Apache Airflow DAGs.
  • Design, build, and deploy production-grade Airflow DAGs for complex, interdependent enterprise batch workflows.
  • Develop custom Airflow operators and sensors for Oracle 19c, REST APIs, SFTP/FTP transfers, and external triggers.
  • Build and maintain data transformation workflows using dbt.
  • Write and optimize complex Oracle SQL and PL/SQL queries.
  • Improve the performance and reliability of data pipelines operating across on-premises systems.
  • Implement error handling, retry processes, SLA alerts, execution logs, audit trails, and data-lineage monitoring.
  • Troubleshoot failed or partially completed jobs across application logs, databases, and Linux/Unix filesystems.
  • Work closely with DBAs and application teams to document job dependencies, identify critical processing paths, and improve data quality and recoverability.
  • Support parameter-driven automation and reusable pipeline-development standards.

Required Qualifications

  • Strong hands-on experience with dbt and Oracle 19c. Both are mandatory.
  • At least five years of Python development experience, particularly in automation, scripting, and enterprise ETL pipelines.
  • At least two years of experience developing and deploying production-grade Apache Airflow DAGs, custom operators, and sensors.
  • Strong experience with Oracle SQL, PL/SQL development, complex queries, and performance tuning.
  • Advanced knowledge of Linux/Unix environments and shell-based processing.
  • Experience modernizing or replacing enterprise job schedulers such as RunMyJobs or AutoSys.
  • Experience developing REST API integrations and SFTP/FTP file-transfer processes.
  • Strong understanding of batch processing, job dependencies, failure recovery, and operational monitoring.
  • Proven ability to troubleshoot issues across application logs, databases, filesystems, and data pipelines.

Preferred Qualifications

  • Experience modernizing or replacing legacy Perl applications or scripts.
  • Previous experience in banking, investment management, or financial services.
  • Familiarity with financial data such as holdings, transactions, net asset values, and tax lots.
  • Experience with Git or Bitbucket, Jenkins, and CI/CD-based deployment processes.
  • Knowledge of operational risk, data governance, audit controls, and data lineage within financial systems.