ZipRecruiter

Log In

1

Weekend Amazon Data Engineer Jobs in Indiana (NOW HIRING)

Amazon

Automation Engineer

Whitestown, IN · On-site

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... weekends, nights, and/or holidays - Bachelor's degree in computer science, electrical engineering ...

next page

Showing results 1-20

People also search for

All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Indiana

Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

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 an 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 Indiana? The most popular types of Amazon Data Engineer jobs in Indiana are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in Indiana? For Weekend Amazon Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Indiana look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Weekend Amazon Data Engineer jobs? Cities in Indiana with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Data Platform Engineer

Data Platform Engineer

Jms Technical Solutions

Indianapolis, IN • On-site

$80 - $85/hr

Contractor

Posted 13 days ago

Job description

25th June, 2026
Our client in Indianapolis, IN, is looking for a contract Data Platform Engineer to join their team!
This is a hybrid/full-time/12-month contract position
Hourly range based on experience: $80-$85/HR
Our client is looking for a Data Platform Engineer to help us support their continued growth. The Data Platform Engineer is responsible for building, implementing, and maintaining technical solutions that align with best-practice standards and client needs. Working closely with Data Architects, they provide technical execution and development support within Salesforce.com and other SaaS applications to support business and product strategies, with a heavy emphasis on maximizing the Salesforce Data 360 (D360) ecosystem.
A Data Platform Engineer participates in discovery sessions to understand client processes and challenges, translating documented solution designs into functional technical requirements and production-ready implementations. They provide collaborative execution and clear communication to the project and client team members to build a foundation for a trusted technical partnership.
Role Responsibilities:
  • Data Architecture & Infrastructure Implementation
    • Enterprise D360 Harmonization: Implement and maintain data structures that align with business needs, leveraging Salesforce Data 360 (D360) capabilities for unified profile management, data democratization, and real-time activation.
    • Modern Cloud Integration: Build and deploy data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the Salesforce ecosystem to address specific business needs, such as Business Intelligence (BI), ETL/ELT, and AI/ML initiatives.
    • Legacy Migration: Execute the migration, ingestion, and mapping of customer data from legacy systems and siloed databases into the Salesforce D360 platform.
    • Governance & Trust: Configure and maintain data accessibility, data privacy, granular security controls, and compliance with relevant regulations (e.g., GDPR, CCPA) and industry standards within the customer data ecosystem.
  • Data Modeling & Pipeline Engineering:
    • Ingestion & Streaming Pipelines: Develop, deploy, and maintain real-time streaming and batch data pipelines for ingesting, transforming, and loading high-volume enterprise data into Salesforce D360 from various cloud sources and APIs.
    • D360 Identity Resolution: Build and support scalable data models and metadata architectures within Salesforce D360, implementing identity resolution rules, reconciliation rules, and unified data graphs as designed.
    • Performance Optimization: Monitor, troubleshoot, and optimize query performance, calculated insights, identity resolution runs, and data transformation processes within the Salesforce D360 and underlying lakehouse environments.
  • Technical Execution and Collaboration:
    • Cross-Functional Collaboration: Collaborate actively with key stakeholders-including business users, data engineers, data scientists, and CRM IT teams-to understand technical specifications and deliver unified data solutions.
    • Ecosystem Implementation: Help evaluate, test, and integrate appropriate tools, connectors, and zero-copy/Zero-Data-Movement technologies for seamless data integration, transformation, and activation within the Salesforce D360 ecosystem.
    • Technical Guidance: Provide development-level support, code reviews, and best-practice engineering guidance to data engineering and CRM development teams.

Experience/Skills Required:
  • Experience: 3+ years of experience in data engineering, technical consulting, or database development for cloud data platforms with multiple enterprise workstreams.
  • Salesforce D360 (Data Cloud) Capabilities: Strong working knowledge of the data cloud architecture, including data models (DMOS, DSOs), identity resolution, data spaces, calculated insights, and activation targets.
  • Modern Data Methods: Familiarity and alignment with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation.
  • Broad Data Ecosystem Experience: Hands-on experience with enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles.
  • Strong Communication: Excellent verbal and presentation abilities, capable of effectively communicating technical engineering concepts and data updates to stakeholders and team members.
  • Technical Tooling & Development: Strong proficiency with data-centric programming languages (such as SQL and Python) as well as Salesforce application development components (Apex, Flow, LWCs, MuleSoft).
  • Engineering Patterns: Solid understanding of enterprise architecture patterns, API management, and real-time data streaming technologies (e.g., Kafka, Amazon Kinesis).
  • Structured Data Modeling: Practical experience with data modeling methodologies (such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures) and mapping them into a canonical Customer 360 model.
  • US Authorization: Must have full-time permanent US work authorization.

Additional Preferred Experience/Skills:
  • Bachelor's Degree preferred, or equivalent experience.
  • Salesforce Certified Data Cloud Consultant or Accredited Professional designations.
  • Hands-on experience with core Salesforce CRM technology like Sales Cloud, Service Cloud, or Industry Clouds (e.g., Financial Services Cloud, Health Cloud).
  • Hands-on experience deploying AI/ML solutions like Salesforce Einstein, AWS Sagemaker, or Google Vertex AI, alongside a solid understanding of Generative AI patterns (e.g., Retrieval-Augmented Generation / RAG).
  • Experience designing data architectures on cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Hands-on expertise with analytics and visualization tools like Tableau, CRM Analytics, Power BI, or Looker.
  • Open to travel based on client and business demands.

We are an equal-opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

Apply