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Weekend Data Engineering Jobs (NOW HIRING)

Purple Drive Technologies

Data Engineering

Sunnyvale, CA · On-site

$134.40K - $161.40K/yr

Collaborate with data scientists and ML engineers to integrate solutions with Vertex AI and other cloud-based AI/ML platforms. * Implement containerized solutions with Docker & Kubernetes and manage ...

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 ...

Astrana Health

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal ...

GM Financial

Manager - Data Engineering

Arlington, TX · On-site

$100.40K - $120.60K/yr

Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques * Define and ...

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 ...

Astrana Health

Manager - Data Engineering

This role involves leading a team of data engineers to design and implement robust data pipelines and platforms that support internal and external clients, ultimately driving innovation and improving ...

Waylin Partners LLC

Director - Data Engineering

$117.20K - $140.70K/yr

Waylin Partners, a leading provider of FP&A, data, and accounting consulting services, is seeking a Data Engineer who is passionate about building scalable data solutions and solving complex ...

Gradient AI

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 ...

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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 May 30, 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.

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

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 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

Purple Drive Technologies

Sunnyvale, CA • On-site

$134.40K - $161.40K/yr

Full-time

Posted 2 days ago

Job description

Overview:
Key Responsibilities
  • Design, develop, and maintain scalable backend services and APIs using Java, Python, Scala, Node.js, and GraphQL.
  • Architect and implement big data solutions leveraging Hadoop, Hive, Spark (Scala), Presto/Trino, and Data Lake concepts.
  • Develop and optimize data processing and streaming pipelines using Storm, Spark Streaming, Airflow, Luigi, and Automic.
  • Collaborate with data scientists and ML engineers to integrate solutions with Vertex AI and other cloud-based AI/ML platforms.
  • Implement containerized solutions with Docker & Kubernetes and manage deployment on cloud environments (AWS/GCP/Azure).
  • Ensure system reliability, scalability, and performance through monitoring, testing, and optimization.
  • Partner with cross-functional teams including product managers, data engineers, and DevOps to deliver high-quality solutions.
  • Troubleshoot production issues, optimize system performance, and ensure data consistency and security.
Required Skills & Qualifications
  • Bachelor's/Master's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
  • 7-10 years of experience in backend and data engineering.
  • Proficiency in Java, Python, Scala, and Node.js for backend and API development.
  • Strong experience with GraphQL (GQL) schema design and implementation.
  • Expertise in Hadoop ecosystem (HDFS, Hive, Spark with Scala).
  • Hands-on experience with Presto/Trino and Data Lake architectures.
  • Practical knowledge of stream-processing frameworks such as Storm and Spark Streaming.
  • Experience with orchestration & workflow tools: Airflow, Luigi, Automic.
  • Proficiency with Kubernetes and containerized deployments.
  • Strong understanding of cloud services (GCP/AWS/Azure) and Vertex AI.
  • Excellent problem-solving, debugging, and optimization skills.
Preferred Skills (Nice to Have)
  • Experience with machine learning integration and MLOps workflows.
  • Knowledge of NoSQL databases (MongoDB, Cassandra, etc.).
  • Exposure to observability/monitoring tools (Grafana, Prometheus, ELK, etc.).
  • Familiarity with Agile/Scrum methodologies.

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