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Weekend Data Engineering Jobs (NOW HIRING)

Diverse Lynx

data engineering

Dallas, TX

$113K - $136K/yr

Must Have Technical/Functional Skills • 8-10+ years overall experience in data engineering or related fields. • 3-5 years hands-on experience with Databricks and Spark. • Strong proficiency in ...

Accenture Federal Services

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate ...

hireVouch

Manager, Data Engineering

Manager of Data Engineering Location: Toronto/GTA Company Overview: Our client is a premier Data Cloud and Business Intelligence consulting company specializing in helping businesses harness the ...

Contexture

Manager, Data Engineering

Phoenix, AZ · On-site +1

$7.5K - $8.7K/mo

MANAGER, DATA ENGINEERING Job Code: MGRDE Reports To: Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $7,599 Hiring Range ...

Contexture

Manager, Data Engineering

Phoenix, AZ · On-site

$7.5K - $8.7K/mo

MANAGER, DATA ENGINEERING Job Code: MGRDE Reports To: Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $7,599 Hiring Range ...

Contexture

Manager, Data Engineering

Phoenix, AZ · On-site

Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $7,599 Hiring Range (Monthly Pay): $7,599 - $8,750 Full-time / Part-time: ...

Astrana Health, Inc.

$140K - $160K/yr

Data - Engineering Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801 Compensation: $140,000 - $160,000 / year Description We are seeking a highly motivated ...

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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 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:
Weekend Data Engineering jobs near you
data engineering

data engineering

Diverse Lynx

Dallas, TX

$113K - $136K/yr

Other

Posted 10 days ago

Job description

Must Have Technical/Functional Skills
• 8-10+ years overall experience in data engineering or related fields.
• 3-5 years hands-on experience with Databricks and Spark.
• Strong proficiency in SQL and data analysis techniques.
• Experience with ETL processes, data modeling, and performance tuning.
• Familiarity with Python or Scala for data engineering tasks.
• Excellent problem-solving and communication skills.
Roles & Responsibilities
We are seeking a hands-on Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience in data engineering, ETL development, and production support, ensuring reliable, scalable, and high-performing data operations within Azure environment and can work in a fast-paced environment. Knowledge of insurance domain and Power BI is a plus but not mandatory.
Development
• Design, develop, and deploy scalable ETL/ELT data pipelines using Apache Spark, PySpark, and Databricks.
• Develop and optimize SQL queries for data transformation and analysis.
• Collaborate with product owners, data architects and analysts to build data models, delta lake structures, and data workflows.
• Collaborate with data analysts and business teams to deliver actionable insights.
• Build job orchestration and monitoring solutions
• Ensure data quality, performance, and reliability across workflows.
• Develop and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
• Work with cloud-based data platforms (Azure preferred).
Production Support
• Provide L2/L3 support for Databricks production jobs, resolving incidents and performance issues.
• Monitor and troubleshoot Spark jobs, cluster performance, job failures, and resource utilization.
• Ensure data pipelines meet SLAs and data accuracy standards.
• Coordinate with infrastructure and DevOps teams to optimize cluster management and costs.
• Perform root cause analysis (RCA) and implement long-term fixes for recurring issues.
• Maintain documentation for production jobs, data flows, and incident management procedures.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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