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Python​/Big Data Developer

Job in Lakewood, Ocean County, New Jersey, 08701, USA
Listing for: Matlen Silver
Full Time position
Listed on 2026-08-05
Job specializations:
  • Software Development
    Python, Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 60 - 68 USD Hourly USD 60.00 68.00 HOUR
Job Description & How to Apply Below
  • PostgreSQL

Job Title:
Python/Big Data Developer

Duration: 18-24 Month W2 Contract

Location:
Pennington, NJ or Jersey City, NJ

Required Pay Scale: $60-$68/hour

Job Title:
Python Developer – Big Data / Data Lake Engineer

Location:
Jersey City, NJ

Interview Process
  • 1st Round:
    Virtual Interview
  • 2nd Round:
    Onsite Interview
Overview

We are seeking a Python Developer with strong Big Data and Data Lake engineering experience to support Data Lake migration, modernization, and ongoing platform maintenance initiatives. This role is ideal for an engineer who is passionate about building scalable data solutions and has experience working with modern Big Data technologies.

We are open to candidates with either:

  • Strong Big Data/Data Lake engineering experience complemented by Python development, or
  • Strong Python development experience with solid exposure to Big Data engineering.
Required Skills
  • Strong Python development experience
  • Experience working with Big Data/Data Lake technologies
  • Hands-on experience with Py Spark
  • Experience with Apache Iceberg
  • Experience with Hadoop
  • Experience with Impala
  • Experience supporting Data Lake migration, engineering, and maintenance initiatives
  • Strong understanding of data processing, distributed computing, and scalable data platforms
Preferred Qualifications
  • Experience with object-oriented databases such as:
    • MongoDB
    • PostgreSQL
Responsibilities
  • Develop and maintain Python applications supporting enterprise Data Lake platforms.
  • Participate in Data Lake migration and modernization efforts.
  • Build and optimize scalable data processing pipelines using PySpark.
  • Work with Apache Iceberg, Hadoop, and Impala to develop and maintain large-scale data solutions.
  • Collaborate with engineering teams to improve performance, reliability, and scalability of the data platform.
  • Troubleshoot production issues and support ongoing platform maintenance.
  • Write clean, maintainable, and reusable Python code following software engineering best practices.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
  • Experience developing scalable applications using Python.
  • Hands-on experience with Big Data ecosystems and Data Lake technologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
Preferred Candidate Profile

We're looking for a software engineer who combines strong Python development skills with experience building and maintaining enterprise-scale Data Lake platforms. The ideal candidate has worked with distributed data technologies such as PySpark, Apache Iceberg, Hadoop, and Impala
, and has experience supporting Data Lake migrations.

Experience with object-oriented databases—including MongoDB
, PostgreSQL
, or financial industry platforms

About Matlen Silver

Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works.

Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status.

If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at:  //

Benefits
  • Health, vision, and dental insurance (single and family coverage)
  • 401(k) plan (employee contributions only)
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