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Weekend Amazon Data Engineer Jobs in New York (NOW HIRING)

Talentrupt

Senior Data Engineer

Newark, NJ · On-site

$110K - $150K/yr

Senior Data Engineer Duration: 12+ months Contract Location: Newark, NJ (Hybrid- 3 days onsite ... Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed ...

Zoetis, Inc.

Data Engineer

Parsippany, NJ · On-site

$105K - $151K/yr

Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS) * Strong proficiency in SQL ... programming language (Python, Scala, Java). * Experience in working with modern ETL tools and data ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Amazon S3, Redshift, Azure Storage) and distributed file systems (HDFS) * Strong proficiency in SQL ... programming language (Python, Scala, Java). * Experience in working with modern ETL tools and data ...

Capgemini

Senior Data Engineer

New York, NY · On-site

$118K/yr

Work with AWS Aurora PostgreSQL, Amazon Redshift, PostgreSQL, and Oracle databases * Troubleshoot ... Data Engineering * SQL * ETL * ELT * Data Pipelines * Data Modeling * Data Management * AWS

Pierrefabre

Data Engineer

Secaucus, NJ · On-site

$90K - $115K/yr

At Pierre Fabre, we believe data is a strategic asset, and we're seeking a Data Engineer to help ... Hands-on experience with cloud platforms (Snowflake, Denodo, Amazon Marketing Cloud, GCP)

United Airlines

Senior Data Engineer

Manhattan, NY

$118K/yr

Work with AWS Aurora PostgreSQL, Amazon Redshift, PostgreSQL, and Oracle databases * Troubleshoot ... Data Engineering * SQL * ETL * ELT * Data Pipelines * Data Modeling * Data Management * AWS

Tiger Analytics Inc.

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. * Implement data processing and ...

Tiger Analytics Inc.

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. * Implement data processing and ...

Tiger Analytics Inc.

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. * Implement data processing and ...

Pwc

Data Engineer - Manager

Melville, NY · 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 ...

Pwc

Data Engineer - Manager

Stamford, CT

... 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 ...

Pwc

Data Engineer - Manager

Florham Park, NJ

... 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 ...

Pwc

Data Engineer - Manager

New York, NY · 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 ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in New York

Weekend Amazon Data Engineer information

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 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 New York? The most popular types of Amazon Data Engineer jobs in New York are:
What cities in New York are hiring for Weekend Amazon Data Engineer jobs? Cities in New York with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you

Senior Data Engineer

Talentrupt

Newark, NJ • On-site

$110K - $150K/yr

Other

Posted 26 days ago

Job description

Title: Senior Data Engineer

Duration: 12+ months Contract

Location: Newark, NJ (Hybrid- 3 days onsite)

 Qualifications:

  • Bachelor''s degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
  • 8+ years of experience as Data Engineer on AWS Stack with experience on DevOps tool
  • AWS Solutions Architect or AWS Developer Certification required
  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, EventBridge, EC2, SQS, SNS, LakeFormation, CloudWatch, Cloud Trail
  • Implement high velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow and AWS Managed Kafka (preferred)
  • Solid experience building solutions on AWS data lake/data warehouse
  • Analyze, design, development, and implementation of data ingestion pipeline in AWS
  • Knowledge implementing ETL/ELT for data solutions
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
  • Knowledge implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model
  • Build & implement CI/CD pipelines for EDP Platform using CloudFormation and Jenkins
  • Programming experience with Python, Shell scripting and SQL
  • Knowledge of analyzing data using SQL Stored procedures
  • Build automated data pipelines to ingest data from relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
  • Build Automated data pipelines to ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
  • Good Experience of DevOps practice
  • Experience with modern source code management and software repository systems (Bitbucket)
  • Experience with programming languages (Python)
  • Experience with scripting languages (Shell, Groovy)
  • Experience with API deployment for tooling integration
  • Experience using Jenkins, CloudBees (Pipeline as Code, Shared Libraries)
  • The ability to document exceptions/issues/action plans/meeting minutes/lessons learned accurately and in a timely fashion
  • Experience with administering DevOps tools in SaaS
  • Experience using DevOps Tools (SonarQube, Artifactory etc.)
  • Experience using build tools (Maven, MS Build and Gradle)
  • Experience using containers (Docker)
  • Experience using Atlassian suite (Jira, Confluence)
  • Experience of Infrastructure as Code using CloudFormation
  • Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts
  • Part of DevOps QA and AWS team focusing on building CI/CD pipeline
  • Responsible for writing and maintaining Jenkins Pipelines

 Responsibilities:

  • Designing, building, and maintaining efficient, reusable, and reliable code
  • Ensure the best possible performance and quality of high scale data applications and services
  • Participate in system design discussions
  • Independently perform hands on development and unit testing of the applications
  • Collaborate with the development team and build individual components into enterprise data platform
  • Work in a team environment with product, QE/QA, and cross functional teams to deliver a project throughout the whole software development cycle.
  • Responsible to identify and resolve any performance issues
  • Keep up to date with new technology development and implementation
  • Participate in code review to make sure standards and best practices are met
  • Project management: Agile developers take responsibility for estimating, planning, and managing all tasks and report on progress
  • Software quality: The Agile developer is also responsible for the quality of the software he/she produces. The team takes responsibility for the quality of the work they produce instead of turning over some code to a separate and independent group for testing
  • Teamwork: This includes collaboration with all other team members with the aim to take shared responsibility for the overall efforts
  • Understanding user needs: This is about interacting with users as necessary to clarify requirements

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