ZipRecruiter

Log In

1

Weekend Data Engineer Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

$117K - $140K/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 ...

Accenture Federal Services

Data Engineer

$117K - $140K/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.

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

They are seeking a Data Engineer to design and implement data pipelines, integrate diverse data sources, and collaborate with cross-functional teams to deliver data solutions that meet business ...

Infinitive Inc

Data Engineer

Decatur, GA · On-site

$111K - $134K/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 ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

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

Saxon Global

Data Engineer

Lisle, IL

$112K - $135K/yr

Support Data Engineering initiatives across two Data Engineering Teams: * Prospect Team * Student Team Contribute to stabilizing and scaling the Data Engineering organization Top 3 Requirements:

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 ...

UNIFY Financial Credit Union

Data Engineer

Lenexa, KS

$107K - $129K/yr

Data Engineer ID 2991 Type Full-Time Summary CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Duties & Responsibilities Responsibilities: Work with product owners to ...

Ruri Software Technologies LLC

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Data Engineer Duration : 8+ Months Location : Onsite Denver CO (Only local Profiles) Required Skills - SQL Developer, Snowflake Nice to have skills - Python, DB scripting Job Summary • Data ...

New

INSPYR Solutions

Data Engineer

Fort Worth, TX · Hybrid

$45 - $50/hr

Data Engineer (Contract - Hybrid) Location: Irving, TX (Hybrid - 3 days onsite) Pay: $45-$50/hour Duration: Contract Work Authorization: , or Authorized to Work in the U.S. Position Overview Seeking ...

Omni Inclusive

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer We are seeking a talented Data Engineer with 7+ years of experience to join our team in the telecom industry. The ideal candidate will have a strong background in data engineering, with ...

V4C.ai

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions ...

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/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

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/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 ...

NTT DATA Americas, Inc

Data Engineer

Irving, TX

$109K - $132K/yr

NTT DATA''s Client is currently seeking a Data Engineer to join their team in Irving, Texas (US-TX), United States (US). - Data Engineer Day to Day job Duties: Design and build robust data pipelines ...

next page

Showing results 1-20

All JobsWeekend Data Engineer Jobs

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 Jun 21, 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 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.

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 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.
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:
What job categories do people searching Weekend Data Engineer jobs look for? The top searched job categories for Weekend Data Engineer jobs are:
Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 59% Full Time, 34% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Berkshire Hathaway GUARD Insurance Companies

Plano, TX • On-site, Remote

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Good Things Start Here.

Good things are happening at Berkshire Hathaway GUARD Insurance Companies—an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.

Good Things You Can Count On.

  • Hybrid schedule: 2 days remote / 3 inoffice
  • Predictable hours (no nights, weekends, or holidays)
  • Competitive pay + generous PTO
  • Medical, dental & vision starting day one
  • 401(k), tuition reimbursement & longevity bonuses

We are hiring ahands-on senior level Data Engineer to build trustworthy, well governed data productsand turn them into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You’ll context switch comfortably between data & analytic engineering and meeting withbusiness stakeholders to understand their processes and needs. 

What You'll Do:

  • Collaborate closely with cross-functional teams; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions.
  • Model and publish curated, analysis ready datasets, semantic modelsin Power BI or analytics delivery that illuminate small commercial metrics. 
  • Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges. 
  • Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost. 
  • Follow and implement documentation standards, governance and data quality controls across datasets. 
  • Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability. 
  • Document technical architecture and workflows to support onboarding and reduce risk
  • Apply best practices in data modeling and engineering to create reusable, high-quality data products.
  • Work in an Agile/Scrum environment, contributing to sprint planning, backlog refinement, and demos.
  • Support development and scaling of data products, BI solutions, and AI-driven use cases across business areas.

Required

  • Hands-on experience in data modeling (conceptual, logical, physical), data engineering, analytics engineering, SQL, and Python
  • Bachelor’s or Master’s degree in Computer Science, IT, or related field
  • 5+ years of data engineering experience, preferably in P&C insurance
  • Experience with Data Mesh (domain ownership and decentralized data products)
  • Strong experience with modern lakehouse platforms (e.g., Microsoft Fabric, Databricks, Snowflake, AWS)
  • Experience building data solutions in cloud environments (Azure preferred; AWS a plus)
  • Familiarity with Azure DevOps (ADO) and CI/CD practices
  • Experience with data transformation, semantic modeling, and BI tools (Power BI, Tableau)
  • Strong analytical and problem-solving skills
  • Experience working in Agile/Scrum environments with product-based delivery
  • Experience delivering end-to-end data, analytics, or AI solutions with business stakeholders
  • Strong communication and collaboration skills

Preferred:

  • Experience with distributed processing frameworks (e.g., Spark)
  • Knowledge of data warehousing concepts and tools
  • Additional programming experience (e.g., Scala)
  • Understanding of data security and compliance
  • Microsoft Fabric certifications (e.g., DP-600, DP-700)
  • Experience with AI agents or multi-agent frameworks for business use cases

*Applicants must be authorized to work in the U.S. without current or future sponsorship*

Salary Range: 

$100,000 – $140,000.

In accordance with applicable pay transparency laws, the above range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

Plano, TX, New York, NY, and/or Scottsdale, AZ

The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.

Apply