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Weekend Data Engineer Jobs (NOW HIRING)

Data Engineer

Irvine, CA · On-site

$122.90K - $147.60K/yr

Data Engineer Location: Irvine, CA Job Type: Full-Time Opportunity Job Summary We are seeking a highly skilled Data Engineer with strong platform engineering and data pipeline expertise to support ...

DATA ENGINEER

Boulder, CO

$110K - $125K/yr

Responsibilities Summary The Data Engineer is responsible for developing and maintaining data infrastructure components, including data pipelines, databases, data lakes, and data warehouses, to ...

Data Engineer

Decatur, GA · On-site

$111.80K - $134.20K/yr

Role Overview We are seeking a skilled and driven Data Engineer to support the design, build, and maintenance of scalable data pipelines and integration solutions supporting a federal client. This ...

New

Data Engineer

Texas City, TX · On-site

$98K - $117.70K/yr

Senior Data Engineer Job Summary We are seeking a highly experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have deep ...

Data Engineer

$117.20K - $140.70K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.

Data Engineer

$117.20K - $140.70K/yr

The Data Engineer role involves designing and maintaining scalable data pipelines, integrating diverse data sources, and collaborating with cross-functional teams to develop data solutions that ...

Data Engineer

Dallas, TX

$113.70K - $136.60K/yr

NTT DATA''s Client is currently seeking a Data Engineer to join their team in Dallas, Texas (US-TX), United States (US). * Perform end-to-end datastore migration from on-prem DataLake to AWS-hosted ...

DATA ENGINEER

Boulder, CO

$110K - $125K/yr

Responsibilities Summary The Data Engineer is responsible for developing and maintaining data infrastructure components, including data pipelines, databases, data lakes, and data warehouses, to ...

DATA ENGINEER

Fort Worth, TX

$109.60K - $131.60K/yr

Data Engineer Finance (1 2 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Finance to support financial data pipelines, reporting platforms ...

Data Engineer

Orlando, FL · On-site

$107K - $128.50K/yr

ABOUT VAXCARE Are you looking for a data engineering role that can meaningfully impact the physical health of the United States' population for the next 20 years? Do you want to write software that ...

Data Engineer

Dallas, TX · On-site

$113.30K - $136K/yr

Data Engineer Location: Dallas, TX / Plano, TX (Onsite) Job Summary We are seeking a Data Engineer with strong experience in designing, building, and maintaining scalable data pipelines and ETL ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

$108.20K - $129.90K/yr

Data Engineer ID: 1616 Location: Fort Eustis, VA Department: N/A More about this job > Description AMSG is seeking a full time Data Engineer with U.S. Army Transformation and Training Command (T2COM ...

Data Engineer

$117.20K - $140.70K/yr

Data Engineer - Expression of Interest At ChangeIs, we collaborate with U.S. Federal organizations to deliver innovative data solutions, and we're continually seeking talented Data Engineers for ...

Data Engineer

Jersey City, NJ · On-site

$125.40K - $150.50K/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 ...

Data Engineer

Minneapolis, MN · Remote

$117.20K - $140.70K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Data Engineer

Greenwich, CT

$128.60K - $154.40K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...

Data Engineer

Greenwich, CT

$128.60K - $154.40K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Data Engineer

Manhattan, NY

$125.50K - $150.70K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD), a new division within the NYC Department of Transportation focused on the rapid growth of app-based ...

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Weekend Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do weekend data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for weekend data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer, and why are they important?

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 position?

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 Weekend Data Engineers?

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.

More about Weekend Data Engineer jobs
What cities are hiring for Weekend Data Engineer jobs? Cities with the most Weekend Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Weekend Data Engineer jobs? States with the most job openings for Weekend Data Engineer jobs include:
Infographic showing various Weekend Data Engineer job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 3% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 60% Physical, 8% Hybrid, and 32% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$122.90K - $147.60K/yr

Full-time

Posted 18 days ago


Job description

Overview:
Job Title: Data Engineer
Location: Irvine, CA
Job Type: Full-Time Opportunity
Job Summary
We are seeking a highly skilled Data Engineer with strong platform engineering and data pipeline expertise to support enterprise-scale delivery initiatives. The ideal candidate should have deep hands-on experience with Databricks, Airflow/Astronomer, DevOps automation, and scalable data engineering solutions.
This role requires senior-level engineers capable of owning technical delivery, driving platform reliability, and collaborating with highly technical engineering teams.
Required Skills
  • Strong hands-on expertise in:
    • Databricks
    • Apache Spark
    • Airflow / Astronomer
    • Data Engineering and pipeline orchestration
  • Experience with:
    • Spark performance tuning
    • Databricks platform administration
    • DAG design and enterprise orchestration
    • Data quality and scalable pipeline architecture
  • Strong DevOps knowledge including:
    • CI/CD pipelines
    • Infrastructure as Code (IaC)
    • Automation frameworks
  • Experience managing:
    • Platform stability
    • Monitoring and observability
    • Operational readiness and support
Key Responsibilities
  • Design, develop, and optimize scalable data pipelines and workflows
  • Build and maintain enterprise orchestration solutions using Airflow/Astronomer
  • Perform Spark optimization and Databricks platform tuning
  • Support platform engineering initiatives focused on scalability, reliability, and automation
  • Implement CI/CD and infrastructure automation for data platforms
  • Monitor platform health and ensure operational stability
  • Collaborate with cross-functional engineering teams to deliver technical solutions
  • Own technical delivery for assigned scope, timelines, and outcomes
Preferred Qualifications
  • Experience in cloud-based data engineering environments
  • Strong troubleshooting and performance optimization skills
  • Experience working in highly technical Agile engineering teams