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Weekend Data Engineer Jobs in New Jersey (NOW HIRING)

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Role:-Data Engineer Position type: Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data ...

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and enterprise-scale data integration. * Proven experience developing scalable ETL/ELT pipelines and ...

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 ...

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 ...

Goldenpick Technologies

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Position: Data Engineer Location: Hybrid 3 days/week in Newark, NJ Duration: 6-month contract to hire Overview: We are seeking experienced Data Engineers to join a leading financial services ...

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 ...

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.

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 ...

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 ...

Wipro Limited

Data Engineer

Mount Laurel, NJ · On-site

$60K - $135K/yr

Data Engineer City: MOUNT LAUREL State/Province: New Jersey Posting Start Date: 7/27/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

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 ...

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 ...

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Qode

Data Engineer

Jackson, NJ · On-site

$116K - $140K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

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

$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 ...

Rivago infotech inc

Data Engineer

Bernardsville, NJ · On-site

$118K - $142K/yr

Data engineer with PostgresSQL Location : Basking ridge, NJ (Hybrid) Look for a Data Engineer who has worked with Postgres SQL as source of data and has built data pipelines using AWS services. As a ...

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in New Jersey

Weekend Data Engineer information

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in New Jersey? The most popular types of Data Engineer jobs in New Jersey are:
What are popular job titles related to Weekend Data Engineer jobs in New Jersey? For Weekend Data Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in New Jersey look for? The top searched job categories for Weekend Data Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Weekend Data Engineer jobs? Cities in New Jersey with the most Weekend Data Engineer job openings:
Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Adidev Technologies Inc

Jersey City, NJ • On-site

$125K - $150K/yr

Full-time

Re-posted 20 days ago

Job description

Job Title: Data Engineer
Job Summary:
We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data pipelines, optimizing data workflows, and supporting analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization.
Key Responsibilities:
  • Design, develop, and maintain robust and scalable data pipelines (ETL/ELT) using modern data engineering tools and frameworks.
  • Build and optimize data architecture and data models to support analytics and reporting needs.
  • Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data platform.
  • Implement data quality checks and ensure data integrity across all pipelines.
  • Collaborate with stakeholders to understand data requirements and deliver timely, high-quality data solutions.
  • Monitor data pipeline performance and troubleshoot data-related issues.
  • Ensure compliance with data governance and data security policies.
  • Automate manual processes and improve data workflows for efficiency and scalability.
  • Support deployment and operation of data infrastructure in cloud environments (e.g., AWS, Azure, GCP).

Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 2+ years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt).
  • Proficiency in at least one programming language (e.g., Python, Java, Scala).
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery, or Snowflake.
  • Understanding of data warehousing concepts and dimensional modeling.
  • Experience with version control systems like Git.

Preferred Qualifications:
  • Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink).
  • Knowledge of CI/CD and DevOps practices in a data engineering context.
  • Familiarity with data governance tools and practices (e.g., data catalogs, lineage tracking).
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

What We Offer:
  • Competitive salary and benefits package.
  • Flexible work hours and remote work options.
  • Opportunity to work with a talented and passionate team on cutting-edge data projects.
  • Professional development opportunities and career growth support.

Apply