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Weekend Amazon Data Engineer Jobs in Waterford, CT

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

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

First Citizens Bank

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

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

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

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

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

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

UtiliSave LLC

AI Platform Support Engineer

Southampton, NY · On-site +1

$65K - $80K/yr

Our current production stack runs on AWS (Amazon Bedrock, Amazon Q Business, AWS Textract, and S3 ... data pipeline tasks including metadata extraction, JSON generation, SQL loading, and semantic ...

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock ...

Amazon

EHS Specialist

Plainfield, CT · On-site

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... Transform safety data into compelling narratives that influence positive change and drive ...

Amazon

Area Manager - II - Plainfield, CT

Plainfield, CT · On-site

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Area Manager - II - Plainfield, CT

Plainfield, CT · On-site

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

EHS Specialist

Plainfield, CT

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Amazon

EHS Specialist

Plainfield, CT · On-site

Join Amazon's mission to become Earth's safest place to work. At Amazon, we've set the ambitious ... Safety Program Excellence & Implementation - Drive comprehensive safety programs through data ...

Mohegan

Data Warehouse Analyst

Uncasville, CT · On-site

Bachelors' Degree in Computer Science, Engineering, Business or a related field * Demonstrated ... May require occasional weekend and evening work * Must be able to work flexible hours and shifts

Ocean House Collection

Engineer

Westerly, RI · On-site

$21 - $26/hr

All seasonal staff must be aware and able to work all weekends; requesting time off for a holiday ... Maintain confidentiality of guest/employee information and pertinent company data.Shift Engineer ...

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Weekend Amazon Data Engineer information

See Waterford, CT salary details

$44.6K

$129.9K

$177.8K

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 Waterford, CT is $129,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $137,700.00 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 cities near Waterford, CT are hiring for Weekend Amazon Data Engineer jobs?

Cities near Waterford, CT with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Lead Data Engineer

First Citizens Bank

Carolina, RI • Remote

$115K - $138K/yr

Full-time

Re-posted 10 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida.

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.


Responsibilities

The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.

  • Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
  • Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
  • Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
  • Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
  • Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
  • Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
  • Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
  • Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
  • Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
  • Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity

Qualifications

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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