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Weekend Amazon Data Engineer Jobs in Lancaster County, PA

Data Engineer

Malvern, PA · On-site

$120K - $130K/yr

... Amazon S3, ensuring data quality, security, and governance. • Implement serverless data processing solutions using AWS Lambda and integrate with other AWS services. • Configure and manage IAM ...

$107K - $129K/yr

... Data Engineer. In this role, the successful candidate will lead the design, development and ... Ability to work non-traditional hours including evenings, weekends, and holidays. Additional ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Provide after-hours or weekend support as needed. Demonstrate an ability to work independently ... data engineering or a related role. 8+ years of data analysis. Preferably in the Healthcare ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Provide after-hours or weekend support as needed. Demonstrate an ability to work independently ... data engineering or a related role. 8+ years of data analysis. Preferably in the Healthcare ...

Sr Data Engineer - Data Platform This is a fullyremote role. D&H is growing! Join 100+ year old ... Be part of a 24x7 on-call rotation for after-hour and weekend production support. Requirements:

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

Position Summary: The Senior Data Engineer will design, build, and maintain serverless data ... Kafka, Amazon Kinesis, or comparable technologies; strong understanding of event schemas ...

Showing results 21-40

Weekend Amazon Data Engineer information

See Lancaster County, PA salary details

$41.8K

$122K

$166.9K

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

As of Sep 2, 2026, the average yearly pay for weekend amazon data engineer in Lancaster County, PA is $121,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 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 Lancaster County, PA are hiring for Weekend Amazon Data Engineer jobs?

Cities near Lancaster County, PA with the most Weekend Amazon Data Engineer job openings:

$120K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

Must Have Technical/Functional Skills
Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)
Roles & Responsibilities
• Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue, PySpark, and Python.
• Develop and optimize data transformation workflows to process large datasets from multiple source systems.
• Utilize Attunity for real-time and batch data replication between on-premises and cloud environments.
• Build and manage data lakes and storage solutions using Amazon S3, ensuring data quality, security, and governance.
• Implement serverless data processing solutions using AWS Lambda and integrate with other AWS services.
• Configure and manage IAM roles, policies, and permissions to ensure secure access to AWS resources.
• Automate infrastructure provisioning and deployment using AWS CloudFormation.
• Monitor, troubleshoot, and optimize ETL jobs, data pipelines, and cloud resources for performance and reliability.
• Collaborate with business, analytics, and application teams to gather requirements and deliver data solutions.
• Support CI/CD processes, perform code reviews, and maintain technical documentation following best practices.
Generic Managerial Skills, If any
• Planning & Execution Effectively prioritize tasks, estimate effort, and ensure timely delivery of project milestones while balancing multiple commitments.
• Stakeholder Management Build strong relationships with business teams, clients, and leadership through proactive communication and expectation management.
• Communication Convey technical and non-technical information clearly through meetings, presentations, documentation, and status updates.
• Collaboration Foster teamwork across cross-functional groups, encourage knowledge sharing, and contribute to a positive team environment.
• Decision Making Analyze options, assess risks, and make informed decisions that align with both technical and business objectives.
• Leadership & Ownership Take accountability for deliverables, drive initiatives proactively, and lead by example to achieve team goals.
• Risk & Issue Management Identify potential risks early, address blockers proactively, and implement mitigation strategies to ensure smooth project execution.
• Customer & Business Focus Understand customer needs and business priorities, ensuring technical solutions deliver measurable value.
• Mentoring & Coaching Support team growth through guidance, code reviews, knowledge sharing, and skill development initiatives.
• Project & Change Management Adapt effectively to evolving requirements, manage priorities during change, and ensure successful delivery outcomes.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial As sistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$130,000 a year