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Weekend Amazon Data Engineer Jobs in Randolph, NJ

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS ... Create and optimize data lakes on Amazon S3 and integrate with Athena and Redshift * Automate data ...

CYNET SYSTEMS

AWS Data Engineer

Newark, NJ · On-site

$53 - $58/hr

Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred ... Developer Certification preferred. * Good understanding of Lakehouse/data cloud architecture.

Pwc

Data Engineer - Manager

Florham Park, NJ · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Amazon

Senior Regional Automation Engineer

Edison, NJ · On-site

$107K - $141K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... You will deliver this through the use of statistics and data analytics, structured problem solving ...

Amazon

Senior Regional Automation Engineer

Edison, NJ · On-site

$107K - $141K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... You will deliver this through the use of statistics and data analytics, structured problem solving ...

Amazon

Senior Regional Automation Engineer

Edison, NJ · On-site

$107K - $141K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... You will deliver this through the use of statistics and data analytics, structured problem solving ...

Deloitte

Lead Forward Deployed Engineer - AWS

Morristown, NJ

$105K - $138K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

ClifyX

AWS Data and AI Solution Architect

Edison, NJ · On-site

$65.75 - $86.25/hr

... Amazon Web Services (AWS). This role provides architectural leadership across data engineering, analytics, machine learning, and generative AI, supporting large‑scale cloud modernization and ...

New

Siri InfoSolutions Inc

Cloud Full Stack Engineer

Raritan, NJ · On-site

$57 - $76.25/hr

Deploy and manage Kubernetes workloads on Amazon EKS. Configure and manage OIDC, IRSA, network ... Support analytics, data engineering, and enterprise application platforms. DevOps, Automation & CI ...

Amazon

Software Development Engineer

Newark, NJ · On-site

We are currently building the future of contract management in partnership with Amazon - a ... data structures and algorithms, applying them effectively - Independently clarify technical ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Randolph, NJ

Weekend Amazon Data Engineer information

See Randolph, NJ salary details

$45.7K

$133.3K

$182.4K

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

As of Aug 25, 2026, the average yearly pay for weekend amazon data engineer in Randolph, NJ is $133,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $141,300.00 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 Randolph, NJ are hiring for Weekend Amazon Data Engineer jobs?

Cities near Randolph, NJ with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Engineer

Bright Mind Solutions LLC

Newark, NJ • On-site

$55 - $60/hr

Contractor

Re-posted 29 days ago

Job description

Prefer Local to New Jersey as its Hybrid role
 
Someone from financial project background
 

We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable data pipelines, transforming large datasets, and delivering analytical insights using the AWS ecosystem.

Key Responsibilities:

AWS Data Engineer Duties:

  • Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions
  • Ingest and transform data from diverse sources (S3, RDS, DynamoDB, APIs) into structured formats suitable for analysis
  • Create and optimize data lakes on Amazon S3 and integrate with Athena and Redshift
  • Automate data workflows using AWS Glue Jobs, Glue Crawlers, and CloudWatch
  • Implement data quality, cleansing, and transformation logic using PySpark or Python
  • Develop and maintain infrastructure as code using AWS CloudFormation or Terraform

AWS Data Analyst Duties:

  • Query large datasets using Amazon Athena, Redshift, and QuickSight for analytical reporting
  • Develop interactive dashboards and visualizations using Amazon QuickSight
  • Analyze and interpret data trends to support business decisions
  • Write complex SQL queries to extract, manipulate, and validate data from AWS-based systems
  • Collaborate with stakeholders to gather requirements and provide data-driven insights
  • Support data governance, metadata management, and documentation efforts

Required Skills & Technologies:

  • Strong experience with AWS services including:
  • S3, Glue, Lambda, Athena, Redshift, QuickSight
  • Proficiency in SQL and Python/PySpark for data transformation
  • Experience with data modeling, data warehousing, and data lake architectures
  • Familiarity with ETL/ELT pipelines and data integration frameworks
  • Solid understanding of IAM, CloudWatch, and AWS security best practices
  • Experience with BI tools (QuickSight, Tableau, or Power BI)

Nice to Have:

  • Experience with AWS Step Functions, Kinesis, or DataBrew
  • Familiarity with machine learning pipelines on AWS (SageMaker)
  • Experience with CI/CD pipelines and version control (Git)
If you are interested or have any references please share resume at mukul@brightmindsol.com.