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Weekend Data Engineering Jobs (NOW HIRING)

Data Engineering Manager

Boston, MA · On-site +1

$170K - $205K/yr

We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry. This is a fully remote opportunity. How you ...

The Manager, Data Engineering will facilitate the definition of data solutions, technical architecture, and delivery plans while ensuring high standards of data quality, governance, and security.

The Manager, Data Engineering will facilitate the definition of data solutions, technical architecture, and delivery plans while ensuring high standards of data quality, governance, and security.

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

Data Engineer is a key role on a centralized data engineering team that supports a wide range of data applications across the organization.This role focuses on building and maintaining reliable ...

Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms * Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

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 ...

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both ...

Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms * Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)

Data Engineering Lead

Colmar, PA · On-site

$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 hands-on ...

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 ...

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Data Engineering Job Category: People Leader All Job Posting Locations: Mooresville, Indiana, United States of America, New Brunswick, New Jersey, United States of America, Palm Beach Gardens ...

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Weekend Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do weekend data engineering jobs pay per year?

As of Jun 20, 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 $500,000?

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

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

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:
Data Engineering Manager

Data Engineering Manager

Gradient AI

Boston, MA • On-site, Remote

$170K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Gradient AI:

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.

About the Role:

If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you. We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry. This is a fully remote opportunity.

How you will make an impact:

  • Grow, build, and lead a world-class engineering team
  • Participate in high-level design decisions and execute them
  • Work closely with data engineering, software engineering, and data science team members to create integrated automated processes that support a robust ML Ops workflow
  • Be a technical interface for our client implementation team and partners to implement clients

Skills needed to succeed:

  • 7+ years of experience with data engineering & software architecture in an enterprise commercial setting
  • 5+ years managing developers, helping grow their careers and improve their skills, ideally in a hybrid / remote setting
  • Strong understanding of data engineering processes and proven track record of facilitating and improving cross team / cross department collaboration
  • Familiarity with ML model deployment and ML Ops concepts— enough to partner effectively with data science teams
  • Strong experience with cloud technologies, specifically AWS
  • Familiar with databases (Postgres, MySQL) and application development (Python, Java)
  • Familiarity with orchestration tools (Airflow), big data processing tools (Databricks), and schema management tools

Bonus Points for:

  • Experience managing teams across multiple engineering disciplines, including both software and data engineering. 
  • Experience transitioning from client-driven development priorities to product roadmap priorities  
  • Experience working in Insurtech or on AI/ML products 

What We Offer:

  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we're building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $170,000-205,000 base salary annually.
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.