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Weekend Amazon Data Engineer Jobs in North Carolina

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... Amazon Quick Suite developing datasets and dashboards with support for web app embeddings. • ... Data engineering, AWS, Python, AI Company : eTeam is a staffing agency that also provides ...

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... Amazon Quick Suite developing datasets and dashboards with support for web app embeddings. • ... data engineering using Python. • Should have experience in working through AI, LLM. • ...

$101K - $122K/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 ...

Lead Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ... AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect - Associate or ...

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ... AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect - Associate or ...

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

... Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. * Experience ... AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect - Associate or ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Amazon Web Services Cloud * Containerization * Data Modeling * DevOps * ETL * Informatica * Microsoft SQL Server * Oracle PL/SQL * Python * Financial Services * Snowflake What you can expect from us:

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms ... AWS Certified Data Engineer - Associate, AWS Certified Developer - Associate, SnowPro Core ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms ... AWS Certified Data Engineer - Associate, AWS Certified Developer - Associate, SnowPro Core ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

... Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms ... AWS Certified Data Engineer - Associate, AWS Certified Developer - Associate, SnowPro Core ...

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Weekend Amazon Data Engineer information

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 are the most commonly searched types of Amazon Data Engineer jobs in North Carolina?

The most popular types of Amazon Data Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Weekend Amazon Data Engineer jobs?

Cities in North Carolina with the most Weekend Amazon Data Engineer job openings:

AWS Data Engineer

eTeam

Charlotte, NC • On-site

$111K - $134K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
eTeam is seeking an AWS Data Engineer to join their team in Charlotte, NC. The primary responsibilities include developing and optimizing data engineering solutions using AWS technologies and Python, as well as working with AI and big data architecture.
Responsibilities:
• Solid experience in data engineering using Python.
• Should have experience in working through AI, LLM.
• Experience working with Cloud technologies (AWS preferred).
• Experience with AWS including Glue, Lambda, IAM, Redshift.
• Developing and optimizing with proven big data experience.
• Best practices in data analysis and modeling.
• Experience optimizing the architecture for big data, query performance, ease of use, and data governance.
• Experience in Amazon Quick Suite developing datasets and dashboards with support for web app embeddings.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Eagerness and willingness to learn new technologies.
• Strong analytical, problem solving and decision-making skills.
Qualifications:
Required:
• Bachelor’s Degree in technical field OR equivalent work experience
• Solid experience in data engineering using Python
• Should have experience in working through AI, LLM
• Experience working with Cloud technologies (AWS preferred)
• Experience with AWS including Glue, Lambda, IAM, Redshift
• Developing and optimizing with proven big data experience
• Best practices in data analysis and modeling
• Experience optimizing the architecture for big data, query performance, ease of use, and data governance
• Experience in Amazon Quick Suite developing datasets and dashboards with support for web app embeddings
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Eagerness and willingness to learn new technologies
• Strong analytical, problem solving and decision-making skills
• Minimum years of experience: 5 years
• Education: Bachelor's or Master of Engineering
• Must have skills: Data engineering, AWS, Python, AI
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.