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Weekend Data Engineering Jobs (NOW HIRING)

Daikin

Data Engineering Manager

Waller, TX · On-site

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

Dorman Products

Data Engineering Lead

Colmar, PA · Hybrid

$113K - $136K/yr

Job Summary Dorman Products is seeking a Data Engineering Lead to build and scale modern data engineering capabilities while supporting our existing enterprise data environment. This role is handson ...

Dorman Products

Data Engineering Lead

Colmar, PA · Hybrid

$113K - $136K/yr

Job Summary Dorman Products is seeking a Data Engineering Lead to build and scale modern data engineering capabilities while supporting our existing enterprise data environment. This role is ...

CrossCountry Mortgage

Data Engineering Manager

Cleveland, OH · On-site

$111K - $133K/yr

The Data Engineering Manager's role is to provide technical leadership for data engineering services including data modeling, data warehouse/lake architecture and administration, ETL pipelines. This ...

Family Dollar

Manager, Data Engineering

Chesapeake, VA · On-site

This role involves leading the Data Engineering team to enhance analytics capabilities and ensure efficient data utilization across the organization. Responsibilities : • Build, lead, and manage ...

Intap

Manager, Data Engineering

Charlotte, NC · On-site

The Manager, Data Engineering, is a technical leader within the DealCloud Services team, responsible for owning end-to-end delivery of client data migration engagements. This role combines hands-on ...

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that ...

Franciscan Health

Manager Data Engineering

Work From Home Work From Home Work From Home, Indiana 46544 The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that ...

QXO

Data Engineering Lead

East Rutherford, NJ · On-site

$168K - $210K/yr

We are looking for a Data Engineering Lead to design, build, and operate scalable, cloud-native data platforms and data products on Google Cloud. This role combines hands-on engineering with ...

Daikin

Data Engineering Manager

Waller, TX

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

Daikin

Data Engineering Manager

Waller, TX · On-site

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

Ci

Data Engineering Manager

Austin, TX

Data Engineering team leadership . Lead, mentor, and develop a team of data engineers supporting reporting, analytics, data science, AI, and data quality initiatives. Plan and manage delivery of data ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineering Engineer #1056187 Position Description: Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure ...

Justworks

Manager, Data Engineering

New York, NY

The Data Platform Engineering team sits at the core of this foundation, owning the pipelines, platform infrastructure, and reliability that every other DNA function depends on. Who You Are You are an ...

YipitData

Data Engineering Manager

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge.

Dollar Tree

Manager, Data Engineering

Chesapeake, VA · On-site

$112K - $126K/yr

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands-on. This leader will help transform how Family Dollar leverages internal & external ...

Dollartree

Manager, Data Engineering

Chesapeake, VA · On-site

$112K - $126K/yr

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be handson. This leader will help transform how Family Dollar leverages internal & external ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge.

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Weekend Data Engineering information

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$44.5K

$129.7K

$177.5K

How much do weekend data engineering jobs pay per year?

As of Jul 10, 2026, the average yearly pay for weekend data engineering 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 engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What cities are hiring for Weekend Data Engineering jobs? Cities with the most Weekend Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Weekend Data Engineering jobs? States with the most job openings for Weekend Data Engineering jobs include:
Weekend Data Engineering jobs near you
Data Engineering Manager

Data Engineering Manager

Daikin

Waller, TX • On-site

Full-time

Re-posted 20 days ago

Daikin rating

7.7

Company rating: 7.7 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

196th of 427 rated machine equipment manufacturers

Job description

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence, analytics, and data science initiatives. This will include building and maintaining scalable data pipelines, championing data quality and governance standards, and enabling self-service analytics and advanced data science capabilities. They will partner closely with stakeholders across technology, products, analytics, and business teams to ensure data is a trusted and strategic asset. They will help define the roadmap, architecture, and tools that support current and future data needs-driving operational excellence and innovation at scale.
Position Responsibilities May include:
  • Mentor, and grow a team of data engineers, ensuring high performance, engagement, and career development.
  • Oversee the development and optimization of data pipelines, ELT processes, and data integration systems from various sources.
  • Ensure high availability and performance of data systems.
  • Optimize cost and performance of data infrastructure.
  • Ensure the reliability, performance, and scalability of data infrastructure in cloud or hybrid environments.
  • Collaborate with cross-functional teams including Data Science, Analytics, Product, and Engineering to support data needs and project goals.
  • Define and enforce best practices for data modeling, warehousing, governance, security and quality.
  • Set technical direction and standards for data architecture and engineering practices.
  • Drive best practices in documentation.
  • Champion automation and CI/CD
  • Implement monitoring, observability, and data quality frameworks.
  • Own the architecture, scalability, and reliability of the company's data platform.
  • Translate business requirements into scalable technical solutions.
  • Manage technical projects from concept through implementation, including planning, prioritization, and delivery.
  • Drive hiring, performance management, and career development.
  • Foster a culture of ownership, quality, and continuous improvement.
  • Monitor team performance and ensure adherence to timelines, budgets, and organizational goals.
  • Evaluate and recommend new tools, technologies, and architectures to improve data infrastructure.
  • Participate in strategic planning and roadmap development for the Data Engineering function.
  • Perform other tasks as assigned

Nature & Scope:
  • Ensures work is aligned with the Director's expectations, goals, and vision
  • Accountable for implementation of policies, processes, and procedures for short-term results
  • Decisions and problem-solving are guided by policies, procedures and business plan; receives guidance from Senior Manager/Director
  • Works on difficult to moderately complex issues and projects
  • Provides guidance and training to subordinates
  • Has authority to hire, recommend pay, establish performance and recommend for termination
  • Level of signing authority established by company policy/guidelines

Knowledge & Skills:
  • Strong proficiency in SQL and programming languages such as Python or Java.
  • Experience with modern data platforms such as Snowflake.
  • Expertise in building and optimizing data pipelines and architectures (batch and streaming).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and related data services.
  • Deep understanding of data warehousing concepts, dimensional modeling, and schema design.
  • Experience with DevOps and CI/CD practices in a data engineering context.
  • Proficient MS Office skills - Outlook, Excel, Word and PowerPoint
  • Excellent leadership skills; able to envision, develop, direct, manage, delegate responsibility and authority and motivate an organization
  • Excellent communication skills, verbal and written; strong marketing/business acumen
  • Demonstrates consultative leadership at the individual or team level
  • Capable of communicating with people at all levels of organizations (internal/external)
  • Ability to communicate and inspire a team through accountability, delegation, and recognition
  • Ability to apply good judgement, decision making skills and strong work ethics and integrity on the job

Experience:
  • 8+ years of work experience in data engineering
  • 5+ years of successful leadership experience through managing projects or teams

Education/Certification:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field required. Master's degree preferred. Equivalent practical experience will also be considered.

People Management: Yes
Physical Requirements / Work Environment:
• Must be able to perform essential responsibilities with or without reasonable accommodations
Reports To: VP, Data Management & Strategy
The Company provides equal employment opportunity to all employees and applicants regardless of a person's race, color, religion (including religious dress or grooming practices), creed, national origin (including language use restrictions), citizenship, uniform service member or veteran status, ancestry, disability, physical or mental disability (including HIV/AIDS), medical condition (including cancer and genetic characteristics), genetic information, request for protected leave, marital status, sex, pregnancy, age (over 40), sexual orientation, gender, gender identity or expression, political affiliation, or any other characteristic protected by law. The Company will comply with all federal and state regulations and statutes about individuals with disabilities.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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