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

Amalgamated Bank of NY

Data Engineer

Manhattan, NY · On-site

$155K - $170K/yr

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You ...

NxT Level

Data Engineer

Manhattan, NY

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building ...

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 ...

Damco Solutions

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Damco Solutions is seeking a Data Engineer to join their team. The primary responsibility of this role is to deliver high-performing data solutions, including data warehouses and data marts, while ...

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is required Client: Mizuho bank Visa: ANY Looking for skilled Data engineer with comprehensive experience ...

Independence Pet Group

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

United Airlines

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Lightning AI

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions * Ingest and transform data from diverse sources (S3, RDS, DynamoDB ...

Navtech, Inc.

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Location: Remote Duration: 6 to 12 Months Contract Client: Deloitte Required Skills Must have strong programming skills in Python & SQL. Python, Pyspark, AWS, EMR, Reshift, EMR. 3 to 6 ...

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

Weekend Data Engineer information

See Parsippany, NJ salary details

$44.8K

$130.5K

$178.5K

How much do weekend data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for weekend data engineer in Parsippany, NJ is $130,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,300.00 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 Parsippany, NJ?

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

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

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

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

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

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

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

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Parsippany, 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 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,451 per year, or $62.7 per hour.

Data Engineer

Amalgamated Bank of NY

Manhattan, NY • On-site

$155K - $170K/yr

Full-time

Posted 9 days ago

Job description

Purpose of Position: 

We are looking for a highly skilled Data Engineer to join our Data Governance Team. The ideal candidate will have a strong background in data engineering with specific experience in Databricks. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures to enable advanced analytics and data-driven decision-making across the organization.

Essential Job Functions:

  1. Design and develop scalable data pipelines using Databricks, ensuring efficient data processing and integration from various sources.
  2. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
  3. Implement best practices for data management, storage, and retrieval, focusing on optimizing performance and ensuring data integrity.
  4. Work with large datasets and perform data cleansing, transformation, and aggregation to support analytics and reporting functions.
  5. Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability.
  6. Stay updated with the latest advancements in data engineering and Databricks technologies to continuously improve our data infrastructure.
  7. Document data processes and workflows, ensuring transparency and knowledge sharing across the team.
  8. Ensure data security and compliance with regulatory requirements and industry best practices.
  9. Perform other duties as directed.

Knowledge, Skills and Experience Requirements:

  1. Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent experience
  2. 2+ years of experience as a Data Engineer, preferred proven expertise in using Databricks.
  3. Strong proficiency in data processing tools and languages such as SQL, Python, and Spark.
  4. Experience with cloud platforms, particularly Azure, and integration with Databricks.
  5. Understanding of data architecture principles and experience with ETL tools and methodologies.
  6. Excellent problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment.
  7. Strong communication skills, with the ability to collaborate effectively with cross-functional teams.

Our job titles may span more than one career level. The starting base salary for this role is between $155,000.00 – $170,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.

Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas.

Hybrid Work Model 
Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”.