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

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 ...

Inspiration Global

Lead Data Engineer

Red Bank, NJ · On-site

$117K - $141K/yr

... data lineage Hands on knowledge on SQL Analytical functions Strong knowledge and hands-on experience in Shell scripting, Java Scripting Able to demonstrate experience with software engineering ...

Throtle

Big Data Engineer

Red Bank, NJ · On-site

$130K - $146K/yr

Vision insurance Job Summary Please consider joining our technology team at Throtle as a Big Data Developer. In this role, you will be part of the team that is responsible for transforming and ...

Castellum Inc

EMALS Lab Engineer

Lakehurst, NJ · On-site

$105K - $125K/yr

This results in a 3-day weekend every week! Responsibilities * Design, develop, integrate, and ... Experience with test equipment including oscilloscopes, data acquisition systems, network analyzers ...

ADP

Senior AI Engineer

Barnegat, NJ

$111K - $152K/yr

You will collaborate with our innovative data scientists and software engineers in solving real-world business challenges using advanced machine learning techniques. You'll be accountable for ...

Peraton

Senior Research Engineer

Red Bank, NJ · On-site

$107K - $147K/yr

Produce the systems-engineering artifacts that align the team: architecture sketches, data-flow and state diagrams, and interface definitions * Review code and contribute directly where it adds the ...

Peraton

Senior Research Engineer

Red Bank, NJ · On-site

$107K - $147K/yr

Produce the systems-engineering artifacts that align the team: architecture sketches, data-flow and state diagrams, and interface definitions * Review code and contribute directly where it adds the ...

Peraton

Senior Research Engineer

Red Bank, NJ · On-site

$135K - $216K/yr

Produce the systems-engineering artifacts that align the team: architecture sketches, data-flow and state diagrams, and interface definitions * Review code and contribute directly where it adds the ...

Cisco

Senior Software Engineer, Backend

Holmdel, NJ · On-site +1

$165K - $241K/yr

With this data, we help to power Dashboard and allow ourcustomersinsight into the state of their ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

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

Weekend Data Engineer information

See Manasquan, NJ salary details

$44K

$128.3K

$175.6K

How much do weekend data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for weekend data engineer in Manasquan, NJ is $128,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 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 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 popular job titles related to Weekend Data Engineer jobs in Manasquan, NJ? For Weekend Data Engineer jobs in Manasquan, NJ, the most frequently searched job titles are:
What cities near Manasquan, NJ are hiring for Weekend Data Engineer jobs? Cities near Manasquan, NJ with the most Weekend Data Engineer job openings:
Weekend Data Engineer jobs near you

Data Engineer

Qode

NJ • On-site

$116K - $140K/yr

Full-time

Re-posted 5 days ago

Job description

Job Title: Data Engineer - MEM SQL
Location: New Jersey / Irving, TX / Tampa, FL
Job Description:
We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.
Responsibilities:
  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
  • Optimize database performance, queries, and data models
  • Collaborate with data scientists, analysts, and application teams to support data needs
  • Ensure data quality, reliability, and security across data platforms
  • Monitor and troubleshoot data pipeline and system issues
  • Support data migration and integration activities

Required Skills:
  • Strong experience as a Data Engineer
  • Hands-on experience with MEM SQL (SingleStore)
  • Strong SQL skills and database optimization experience
  • Experience with ETL tools and data pipeline frameworks
  • Knowledge of data modeling and data warehousing concepts
  • Experience working with large datasets and real-time data processing

Preferred Skills:
  • Experience with cloud platforms (AWS / Azure / GCP)
  • Knowledge of Big Data technologies (Spark, Kafka, etc.)
  • Telecom domain experience (preferred, not mandatory)

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