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Weekend Data Engineer Jobs in Newark, NJ (NOW HIRING)

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 ...

Mondo

Data Engineer

Manhattan, NY · On-site

$75 - $82/hr

Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position. Job Title: Data Engineer (AVP ...

Sarian, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer with experience in industry leading Data engineering tools, Python ,SNOW SQL, Azure experience. * 7-10 years of Data Engineer experience. * Excellent communication and analytical skills.

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 ...

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 ...

1872 Consulting

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data EngineerNew York, NY We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be responsible for designing, implementing and optimizing data pipeline ...

Page Group

Data Engineer

Manhattan, NY · On-site

$115K - $135K/yr

The Data Engineer will play a key role in designing, building, and maintainig scalable data pipelines, curated analytical data models, and cloud-based data products that support enterprise supply ...

1872 Consulting

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data EngineerNew York, NY We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be responsible for designing, implementing and optimizing data pipeline ...

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 ...

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration: 6 Month Contract Compensation Range: $65-72/hour W2 Benefits: Eligible for Health, Dental, Vision ...

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 ...

4 Corner Resources

Data Engineer

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer4 Corner Resources is hiring Data Engineers for a leading healthcare organization. This is a chance to join a fast-moving, technology-driven team where your work directly keeps critical ...

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 ...

4 Corner Resources

Data Engineer

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer4 Corner Resources is hiring Data Engineers for a leading healthcare organization. This is a chance to join a fast-moving, technology-driven team where your work directly keeps critical ...

GEI Consultants

Data Engineer

Manhattan, NY · On-site

$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 ...

32bjfunds

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Code 1003 Department Name Health Fund Admin Reports To Manager, Data Engineering FLSA Status Exempt Union Code N/A Management No About Us Building Services 32BJ Benefit Funds ("the Funds") is the ...

32bjfunds

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Code 1003 Department Name Health Fund Admin Reports To Manager, Data Engineering FLSA Status Exempt Union Code N/A Management No About Us Building Services 32BJ Benefit Funds ("the Funds") is the ...

Courier Health

Data Engineer

New York, NY

$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 ...

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Showing results 21-40

All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Newark, NJ

Weekend Data Engineer information

See Newark, NJ salary details

$46.5K

$135.6K

$185.6K

How much do weekend data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend data engineer in Newark, NJ is $135,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $143,800.00 per year, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of Data Engineer jobs in Newark, NJ?

The most popular types of Data Engineer jobs in Newark, NJ are:

What are popular job titles related to Weekend Data Engineer jobs in Newark, NJ?

For Weekend Data Engineer jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Newark, NJ look for?

The top searched job categories for Weekend Data Engineer jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Weekend Data Engineer jobs?

Cities near Newark, NJ with the most Weekend Data Engineer job openings:

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,648 per year, or $65.2 per hour.

Data Engineer

Qode

Florham Park, NJ • On-site

$119K - $143K/yr

Full-time

Re-posted 23 days ago

Job description

Build Your own Job Description! 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 the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities:  Analyzing and organizing raw data  Developing and maintaining datasets  Improving data quality and efficiency  Build data systems and pipelines  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data acquisition  Develop analytical tools and programs  Collaborate with data scientists and architects on several projects Other skills and competence  Technical expertise with data models, data mining, and segmentation techniques  Strong analytical and problem-solving skills.  Hands-on experience with SQL database design  Knowledge of programming languages (R, Python)  Bachelor’s Degree in Computer Science, IT, or similar field  Highly motivated with a sense of ownership and accountability.  Quick learner with a great attitude.  Genuine team player, able to work well and pleasantly in a team and work independently for the team  Ability to communicate effectively with technical and non-technical audiences