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Weekend Amazon Data Engineer Jobs in Providence, RI

Progressive Gaming

Data Engineer II

Providence, RI

$115K - $138K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with AWS data services such as Amazon S3, Lambda, or related technologies. * Experience ...

IGT

Data Engineer II

Providence, RI

$115K - $138K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience with AWS data services such as Amazon S3, Lambda, or related technologies. * Experience ...

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 ...

Freedman HealthCare LLC

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

Data Engineer I (Rhode Island) Hybrid Freedman HealthCare LLC (FHC) is a growing Massachusetts ... Experience working with cloud or warehouse platforms such as Amazon Redshift preferred

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 ...

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

... Amazon S3, CEPH, and Trino, while ensuring theplatform is secure, performant, reliable, and cost ... The architect will partner with engineering, platform,analytics, security, and business teams to ...

SEACORP

Data Lakehouse Architect

Middletown, RI

$63.50 - $81.50/hr

... Amazon S3, CEPH, and Trino, while ensuring theplatform is secure, performant, reliable, and cost ... The architect will partner with engineering, platform,analytics, security, and business teams to ...

SEACORP

Data Lakehouse Architect

Middletown, RI · On-site

$63.50 - $81.50/hr

Required : • Bachelor's degree in Computer Science, Engineering, Information Systems, or a ... Amazon S3, CEPH, or equivalent S3-compatible storage systems. • Experience with Trino or similar ...

Infosys Limited Digital

Amazon Connect Architect

Johnston, RI · On-site

$64 - $84.25/hr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Required Skill and Experience Experience with Amazon Connect, Amazon Lex, Connect AI Agent, and ...

Amazon

Operations Manager

Taunton, MA · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager

Middleborough, MA · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager

Fall River, MA · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager - Stoughton, MA

Stoughton, MA · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Providence, RI

Weekend Amazon Data Engineer information

See Providence, RI salary details

$45K

$131K

$179.3K

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

As of Aug 8, 2026, the average yearly pay for weekend amazon data engineer in Providence, RI is $131,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $138,900.00 per year, depending on experience, location, and employer.

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.

Weekend Amazon Data Engineer jobs near you

Data Engineer II

Progressive Gaming

Providence, RI

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

IGT, where innovation meets entertainment on a global scale!  From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences-powered by worldclass content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership.

 

Whether it's spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and longterm value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to costumers we serve. If you're ready to bring your talent to a team shaping the future of entertainment, your next big move starts here - www.igt.com.

About the Role

We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power enterprise analytics, reporting, and emerging AI initiatives.


You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python, SQL, and AWS to develop reliable data pipelines and curated datasets. Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform business requirements into high-quality, production-ready data solutions.
This position is ideal for an engineer who enjoys solving complex data challenges, building scalable solutions, and continuously learning new technologies.

What You'll Do
  • Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python. 
  • Build and maintain reliable, high-quality datasets that support enterprise analytics, operational reporting, and AI use cases. 
  • Develop data transformations using Delta Lake and Lakehouse architecture best practices. 
  • Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources. 
  • Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions. 
  • Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance. 
  • Participate in migrating and modernizing legacy data processes to cloud-native architectures. 
  • Improve data quality through validation, testing, monitoring, and automation. 
  • Contribute to engineering best practices through code reviews, documentation, and knowledge sharing. 
  • Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 
  • 3+ years of experience in Data Engineering or a related technical role. 
  • Strong SQL development skills. 
  • Strong Python programming experience. 
  • Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms). 
  • Experience developing modern ETL/ELT pipelines. 
  • Understanding of data modeling and data warehousing concepts. 
  • Experience working with cloud-based data platforms, preferably AWS. 
  • Familiarity with Delta Lake or similar modern data storage technologies. 
  • Experience using Git and collaborative software development practices. 
  • Strong analytical, troubleshooting, and problem-solving skills. 
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with AWS data services such as Amazon S3, Lambda, or related technologies.
  • Experience working with Databricks on AWS.
  • Experience with Delta Lake and Medallion/Lakehouse architecture.
  • Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms. 
  • Experience consuming and developing REST APIs. 
  • Experience working with semi-structured data, including JSON and Excel-based data ingestion. 
  • Familiarity with CI/CD practices for data engineering. 
  • Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications. 
  • Experience working in gaming, hospitality, financial services, or other data-intensive industries.
Technical Environment

You'll work with technologies including: 

  • Databricks (AWS) 
  • Apache Spark 
  • Delta Lake 
  • Python 
  • SQL 
  • Amazon S3 
  • Git 
  • REST APIs 
  • CI/CD pipelines
What Makes You Successful
  • You enjoy solving complex technical problems and continuously improving existing solutions. 
  • You can work independently while collaborating effectively with cross-functional teams. 
  • You write clean, maintainable, and well-tested code. 
  • You take ownership of your work from development through production support. 
  • You have a growth mindset and enjoy learning new technologies. 
  • You communicate technical concepts clearly with both technical and non-technical audiences.

#LI-CK1

IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve and to fostering an inclusive environment where all employees feel valued, respected, and engaged. IGT is an equal opportunity employer and provides equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We thank all applicants for their for applying; however, only those selected to interview will be contacted. 

At IGT, we consider a wide range of factors in determining compensation, including skills, experience, education, and geographic location. These factors may result in variation in starting pay. The estimated compensation for this role is up to $104,000 USD, based on a good-faith assessment at the time of posting. Actual compensation may vary. IGT complies with all applicable pay transparency and compensation laws and collective bargaining agreements, where applicable. 
Base pay is one component of IGT's total rewards program. Depending on the role, employees may be eligible for bonus or commission opportunities. IGT also offers a comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements. 

IGT is the global leader in gaming. For more information, please visit www.igt.com.

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