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Weekend Amazon Data Engineer Jobs in Charleston, WV

Forhyre

Data Engineer

Charleston, WV

$106K - $127K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Dscout

AI Data Engineer

Charleston, WV

$106K - $127K/yr

... Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind ... As an AI Data Engineer you will be at the intersection of ML systems and data engineering, working ...

Gopuff

Data Engineer

Charleston, WV · Remote

$118K - $148K/yr

As a Data Engineer, you will play a critical role in shaping Gopuff's modern data platform. You'll ... weekend. We're assembling a team of thinkers, dreamers & risk-takers...the kind of people who know ...

Kunai

Senior Cloud Data Engineer

Charleston, WV

$98K - $133K/yr

Amazon QuickSight, Grafana, dashboarding frameworks, driver personalization engines GCP * BigQuery ... Google Professional Cloud Architect or Cloud Data Engineer Our success over the past 20 years is ...

Lyra Health

Sr. DevOps Engineer

Charleston, WV · Remote

$128K - $176K/mo

Experience with Amazon Web Services (AWS) a must, especially many of the following: * EKS ... Background supporting ML/Data Science workloads in cloud environments (e.g., SageMaker integrations ...

New

SailPoint

Senior Staff Software Engineer

Charleston, WV

$113K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the role As a Senior Staff Software Engineer at SailPoint, you will dive into a highly ... AWS (Amazon Web Services) * Big Data and Machine Learning technologies * AI Tools (Claude, Cursor)

New

AmeriSave Mortgage Corp.

Voice Bot Engineer

Charleston, WV · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We leverage cutting-edge technology and data-driven strategies to provide exceptional service to ... Proven success integrating bots into telephony systems (Asterisk, Twilio, Amazon Connect, Google ...

Bellese

Senior Engineer, Full Stack

Charleston, WV · Remote

$128K - $153K/yr

Thousands of hospitals across the country depend on these systems to submit quality measure data ... Cloud infrastructure with Amazon Web Services (AWS) * Infrastructure as Code (IaC) using Terraform ...

D.A. Davidson

Senior Software Engineer

Charleston, WV · Remote

$95K - $110K/yr

Collaborate with cross-functional teams, including Data Engineers, to deliver scalable, secure, and ... Expectation to provide production support during weekend and off-hours. * Willing to periodically ...

Shield AI

Flight Test Engineer (R5006)

Charleston, WV

$115K - $215K/yr

Analyze ground and flight test data to identify performance trends, anomalies, root causes, and ... Overtime and weekend coverage as required Preferred qualifications: * 10+ years of experience with ...

Thrivent Financial

Mgr, Engineering

Charleston, WV · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science and on AWS for production serving, with Amazon Bedrock and SageMaker powering LLM ... This leader will manage experienced engineers and specialists with significant autonomy, help ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Charleston, WV

Weekend Amazon Data Engineer information

See Charleston, WV salary details

$43.2K

$126.1K

$172.5K

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

As of Aug 17, 2026, the average yearly pay for weekend amazon data engineer in Charleston, WV is $126,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,600.00 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.

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 are the most commonly searched types of Amazon Data Engineer jobs in Charleston, WV?

The most popular types of Amazon Data Engineer jobs in Charleston, WV are:

What cities near Charleston, WV are hiring for Weekend Amazon Data Engineer jobs?

Cities near Charleston, WV with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Engineer

Forhyre

Charleston, WV

$106K - $127K/yr

Full-time

Re-posted 26 days ago

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal