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Weekend Amazon Data Engineer Jobs in Westminster, MD

Mondo

DevOps Engineer

Owings Mills, MD · On-site

$55 - $63/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... Chief Data Office. This team is responsible for building and supporting the cloud-native ... Support a large-scale modernization initiative migrating Kubernetes workloads to Amazon EKS.

Posted today

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 ...

T. Rowe Price

Lead Software Engineer

Owings Mills, MD · On-site

$120 - $160/hr

  • Medical

  • Retirement

  • PTO

Hands‑on experience with data warehousing and modeling concepts, and building and maintaining ... Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex. * Knowledge of security best ...

Evapco

Backup and Recovery Engineer

Taneytown, MD · On-site

$95 - $160/hr

  • Life

  • Retirement

  • PTO

... 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 ...

Evapco

Backup and Recovery Engineer

Taneytown, MD · On-site

$90K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Evapco

Backup and Recovery Engineer

Taneytown, MD · On-site

$90K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

T Rowe Price

Sr. Software Engineer

Owings Mills, MD · On-site

$116K - $154K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... data, and technical challenges. We are seeking a full-stack engineer who is passionate about ... as Amazon Web Services (AWS), Microsoft Azure, or similar providers. * Hands-on experience in ...

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Showing results 1-20

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 19, 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.

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

DevOps Engineer

Mondo

Owings Mills, MD • On-site

$55 - $63/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 23 hours ago

Posted today

Job description

Apply now: DevOps Engineer, location is Owings Mills, MD. The start date is ASAP for this 12-month contract position.

Job Title: DevOps EngineerLocation-Type: Hybrid (Owings Mills, MD – 2 Days Onsite Per Week)Start Date Is: ASAPDuration: 12-Month Contract (Potential Extension up to 2 Years)Compensation Range: $55/hr - $63/hr W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship

Job Description:Our client is seeking a DevOps Engineer to join its Quant Analytics Platforms team within the Chief Data Office. This team is responsible for building and supporting the cloud-native infrastructure that powers quantitative research, investment, and trading platforms across global investment teams. The ideal candidate will have deep Kubernetes and AWS infrastructure experience, a strong Infrastructure-as-Code background, and a passion for automation, platform engineering, and operational excellence. This is an opportunity to contribute to a high-impact modernization initiative migrating infrastructure to Amazon EKS while helping scale the firm's enterprise analytics platform.

Day-to-Day Responsibilities:

  • Build, automate, and maintain cloud-native infrastructure running on AWS.
  • Support a large-scale modernization initiative migrating Kubernetes workloads to Amazon EKS.
  • Develop Infrastructure as Code using Terraform, Terragrunt, and Helm.
  • Build and optimize CI/CD pipelines using GitLab.
  • Deploy and manage containerized applications using Docker and Kubernetes.
  • Configure and manage Kubernetes clusters and platform services.
  • Implement monitoring, observability, and alerting using Prometheus, Grafana, AlertManager, OpenTelemetry, CloudWatch, and Splunk.
  • Implement security best practices across cloud infrastructure and deployment pipelines.
  • Troubleshoot production and non-production infrastructure issues.
  • Collaborate with engineering teams to improve platform reliability, scalability, and developer productivity.
  • Develop automation using Python and Shell scripting.
  • Support distributed file storage platforms including Amazon EFS, NFS, and FSx.
  • Participate in Agile ceremonies and contribute to continuous platform improvements.
  • Research emerging technologies and recommend improvements to the platform.

Minimum Requirements:

  • 5 years of DevOps, Platform Engineering, or Cloud Infrastructure experience.
  • Strong experience operationalizing cloud-native AWS environments at scale.
  • Expert-level Kubernetes experience, including Amazon EKS.
  • Strong Docker containerization experience.
  • Hands-on experience with Terraform and/or Terragrunt.
  • Experience using Helm for Kubernetes deployments.
  • Experience building and maintaining CI/CD pipelines.
  • Experience with Git, GitHub, and/or GitLab.
  • Experience supporting distributed file storage technologies such as NFS, Amazon EFS, or Amazon FSx.
  • Experience with AWS services including IAM, EC2, EBS, EFS, VPC, Route 53, CloudWatch, and CloudWatch Alerts.
  • Experience implementing observability solutions using Prometheus, Grafana, AlertManager, OpenTelemetry, and/or Splunk.
  • Experience with Python and Shell scripting.
  • Strong troubleshooting and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and ability to collaborate across engineering teams.
Preferred Qualifications:
  • Working knowledge of financial markets and investment technologies.
  • Experience supporting Front Office engineering teams within Asset Management, Hedge Funds, or Investment Banking.
  • Experience with R or RStudio.
  • Experience with Go.
  • Experience supporting quantitative research or analytics platforms.
  • Experience with enterprise modernization initiatives involving Kubernetes migrations.