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Weekend Amazon Data Engineer Jobs in Westminster, MD

MDAEdge

Lead PySpark Developer

Owings Mills, MD · On-site

$56.25 - $73.75/hr

... in Amazon Web Services (AWS) cloud computing. • 10+ years of experience in big data and ... Preferred : • Experience in DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is ...

INSPYR Solutions

Database Architect

Windsor Mill, MD · On-site

$64.75 - $83.25/hr

Design and manage Snowflake data warehouse environments, including database architecture, schema ... Collaborate with developers, architects, analysts, and business stakeholders to gather requirements ...

INSPYR Solutions

DevOps Engineer

Garrison, MD · On-site

$50.75 - $69.50/hr

... data workloads. The ideal candidate will have hands-on experience with AWS, Kubernetes ... Experience with distributed file storage technologies such as NFS, Amazon FSx, OpenZFS, or similar ...

INSPYR Solutions

DevOps Engineer

Owings Mills, MD · On-site

$50.75 - $69.50/hr

... data workloads. The ideal candidate will have hands-on experience with AWS, Kubernetes ... Experience with distributed file storage technologies such as NFS, Amazon FSx, OpenZFS, or similar ...

Evapco

Backup and Recovery Engineer

Taneytown, MD · On-site

$90K - $135K/yr

... and data resilience services across on-premises, cloud, and software-as-a-service environments ... Experience protecting Microsoft 365, Microsoft Azure, Amazon Web Services, VMware, Hyper-V ...

New

MOONITSolutions Inc.

AI Architect

Owings Mills, MD · On-site

... Amazon Bedrock, SageMaker, OpenSearch, ECS/EKS, Lambda). · Enterprise Data & Analytics: Hands-on ... · Core Engineering: Strong foundation in Python, Java/C++, API design (REST/gRPC), and ...

PROLIM Global Corporation

Automation Tester

Owings Mills, MD · On-site

$43.75 - $58/hr

... experience. • Strong programming skills in Java and/or JavaScript/TypeScript with solid ... data validation skills • Experience building automated tests and test scripts and deploying to ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Westminster, MD

Weekend Amazon Data Engineer information

See Westminster, MD salary details

$42.8K

$124.7K

$170.6K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for weekend amazon data engineer in Westminster, MD is $124,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $132,100.00 per year, depending on experience, location, and employer.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What cities near Westminster, MD are hiring for Weekend Amazon Data Engineer jobs? Cities near Westminster, MD with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Lead PySpark Developer

MDAEdge

Owings Mills, MD • On-site

$56.25 - $73.75/hr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
MDAEdge is seeking a Lead PySpark Developer to spearhead the design and deployment of big data solutions. The role involves collaborating with various teams to optimize ETL pipelines and ensure data security and governance.
Responsibilities:
• Lead the design, development, and deployment of PySpark-based big data solutions.
• Architect and optimize ETL pipelines for structured and unstructured data.
• Collaborate with clients, data engineers, data scientists, and business teams to provide scalable solutions.
• Optimize Spark performance through partitioning, caching, and tuning.
• Implement best practices in data engineering (CI/CD, version control, unit testing).
• Work with cloud platforms like AWS.
• Ensure data security, governance, and compliance.
• Mentor junior developers and review code for best practices and efficiency.
Qualifications:
Required:
• 7+ years of experience in Amazon Web Services (AWS) cloud computing.
• 10+ years of experience in big data and distributed computing.
• Strong hands-on experience with PySpark, Apache Spark, and Python.
• Strong hands-on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc.).
• Proficiency in data modeling and ETL workflows.
• Proficiency with workflow schedulers like Airflow.
• Hands-on experience with AWS cloud-based data platforms.
• Strong problem-solving skills and ability to lead a team.
Preferred:
• Experience in DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
• Experience with DBT and AWS Astronomer is a plus.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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