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Weekend Amazon Data Engineer Jobs in Greenfield, IN

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Walmart, Amazon) • Experience with third-party syndicated data sources (e.g., Stackline ... engineering or building semantic/curated data layers Why Join Us? At Delta Faucet Company, our ...

... 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 ...

Data Platform Engineer (Data 360)

Indianapolis, IN · On-site

$109K - $131K/yr

Data Platform Engineer (Data 360) We are looking for a Data Platform Engineer to help us support ... Experience designing data architectures on cloud platforms like Amazon Web Services, Microsoft ...

Senior Automation Engineer

Greenfield, IN · On-site

$100K - $131K/yr

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... weekends, nights, and/or holidays - 4+ years of process or production environment related PLC ...

... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

... Engineering, or 2+ years of Amazon RME (BB/3P) Full Time experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 4+ years of industrial maintenance ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... engineering Amazon is an equal opportunity employer and does not discriminate on the basis of ...

Regional Maintenance Manager

Indianapolis, IN · On-site

$62K - $80K/yr

... Engineering, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 5+ years of industrial maintenance ...

... Engineering, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - Work flexible schedules/shifts/areas, including weekends, nights, and/or holidays - 8+ years of direct leadership ...

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Showing results 1-20

Weekend Amazon Data Engineer information

See Greenfield, IN salary details

$42.8K

$124.8K

$170.8K

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

As of Aug 24, 2026, the average yearly pay for weekend amazon data engineer in Greenfield, IN is $124,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $132,300.00 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 Greenfield, IN are hiring for Weekend Amazon Data Engineer jobs?

Cities near Greenfield, IN with the most Weekend Amazon Data Engineer job openings:

Sr. Data Engineer

Masco Corporation

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Retirement

Posted 24 days ago


Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.
Delta Faucet Company is seeking a Senior Data Engineer to lead the design, development, and scaling of enterprise data pipelines that power omni-retail analytics, advanced modeling, and AI/ML initiatives. This role is responsible for managing a complex POS-driven data ecosystem spanning multiple retailers, APIs, third-party data providers, and internal enterprise systems. The ideal candidate will bring strong technical expertise and a strategic mindset to transform fragmented data workflows into a scalable, governed, and high-performing data platform.
This role plays a critical part in modernizing the organization's data architecture by enabling consistent, reliable, and feature-ready datasets that support statistical modeling, AI use cases, and executive decision-making. The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce reliance on manual data preparation processes.
Key Responsibilities
• Design, build, and maintain scalable data pipelines integrating POS, eCommerce, third-party, and enterprise data sources
• Lead cross-platform data integration across APIs, file ingestion, cloud storage, and analytics environments
• Develop and manage end-to-end data workflows from ingestion through transformation to consumption
• Create and maintain feature-ready datasets to support statistical modeling, machine learning, and AI initiatives
• Standardize data models, schemas, and transformation logic across retailers and product hierarchies
• Implement automated data quality checks, validation frameworks, and monitoring processes
• Optimize data pipelines for performance, scalability, and cost efficiency
• Reduce manual data processing by automating ingestion and transformation workflows
• Collaborate with analytics and data science teams to translate business requirements into scalable data solutions
• Establish and enforce best practices for data governance, consistency, and documentation
• Support integration of enterprise systems such as SAP, Salesforce, and Snowflake into the analytics ecosystem
• Mentor and guide team members on data engineering best practices and scalable design patterns
Required Qualifications
• 5+ years of experience in data engineering, data platform development, or related roles
• Proven experience designing and maintaining scalable data pipelines in a cloud-based environment
• Strong proficiency in SQL and Python for data transformation and pipeline development
• Hands-on experience with distributed data processing frameworks (e.g., PySpark, Spark)
• Experience working with APIs and integrating structured and unstructured data sources
• Strong understanding of data modeling concepts (e.g., dimensional modeling, fact/dimension design)
• Experience implementing data quality, validation, and monitoring solutions
• Ability to work across technical and business teams to deliver data-driven solutions
• Strong problem-solving skills with the ability to manage complex data environments
Preferred Qualifications
• Experience working with Databricks, lakehouse architectures, or similar platforms
• Exposure to AI/ML workflows, including feature engineering and model data preparation
• Familiarity with POS and retail data ecosystems (e.g., Home Depot, Lowe's, Walmart, Amazon)
• Experience with third-party syndicated data sources (e.g., Stackline, Datavations, SimilarWeb)
• Knowledge of orchestration tools (e.g., Airflow, Azure Data Factory)
• Experience with cloud platforms (Azure, AWS, or GCP)
• Background in analytics engineering or building semantic/curated data layers
Why Join Us?
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You'll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.
Here are some of the benefits we offer for your personal and professional growth:
  • Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
  • Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
  • Learning & Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.
  • Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.

Company: Delta Faucet Company
Full time
Hiring Range: $88,700.00 - $139,260.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Delta Faucet Company (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Delta Faucet Company is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

Pay

Benefits

Hours and flexibility

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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