ZipRecruiter

Log In

1

Weekend Data Pipeline Engineer Jobs in Indiana (NOW HIRING)

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... The pipelines and datasets you build directly support programs that serve real people, not abstract ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... The pipelines and datasets you build directly support programs that serve real people, not abstract ...

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... The pipelines and datasets you build directly support programs that serve real people, not abstract ...

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

  • Medical

  • Retirement

  • PTO

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

Merchants Bancorp

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to ... Develop scalable data models for investment reporting, portfolio analytics, and capital markets ...

Merchants Bank of Indiana

Data Engineer

Carmel, IN

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to ... Develop scalable data models for investment reporting, portfolio analytics, and capital markets ...

K1X

Data Engineer

Indianapolis, IN

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, andmaintainthe data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

Masco Corporation

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

  • Retirement

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 ...

Masco Corporation

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

  • Retirement

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 ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... In this role, you will design and manage the data infrastructure - pipelines, databases, and ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... In this role, you will design and manage the data infrastructure -- pipelines, databases, and ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... In this role, you will design and manage the data infrastructure - pipelines, databases, and ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ... In this role, you will design and manage the data infrastructure - pipelines, databases, and ...

Haynes International

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and ...

previous pagenext page

Showing results 21-40

All JobsData Pipeline Engineer JobsWeekend Data Pipeline Engineer JobsWeekend Data Pipeline Engineer Jobs in Indiana

Weekend Data Pipeline Engineer information

What does a weekend data pipeline engineer do?

A Weekend Data Pipeline Engineer is responsible for designing, building, and maintaining data pipelines that process and move data efficiently, specifically during weekend shifts. They ensure data flows smoothly between systems, monitor performance, troubleshoot issues, and implement improvements. Their work supports data analysts, scientists, and other stakeholders who rely on timely and accurate data delivery. This role often requires expertise in ETL tools, programming, and cloud platforms, as well as availability for on-call or shift-based work during weekends.

What are the key skills and qualifications needed to thrive as a weekend data pipeline engineer, and why are they important?

To thrive as a Weekend Data Pipeline Engineer, you need a solid background in computer science, data engineering principles, and experience building and maintaining data pipelines, often supported by a relevant degree. Proficiency with ETL tools, cloud platforms like AWS or GCP, and data processing frameworks such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for managing off-hours incidents and collaborating remotely. These skills and qualities ensure the reliability, efficiency, and scalability of data systems during critical weekend operations.

What are the unique challenges of working as a weekend data pipeline engineer, and how can I effectively manage them?

As a Weekend Data Pipeline Engineer, you may face challenges such as working with limited real-time support, handling system issues during off-peak hours, and managing updates or maintenance with minimal disruption. Success in this role often requires strong problem-solving skills, the ability to work independently, and clear documentation for handoff to weekday teams. Establishing proactive communication channels and automating monitoring or alerting systems can also help ensure smooth weekend operations and collaboration with your colleagues.

What are the most commonly searched types of Data Pipeline Engineer jobs in Indiana?

The most popular types of Data Pipeline Engineer jobs in Indiana are:

What cities in Indiana are hiring for Weekend Data Pipeline Engineer jobs?

Cities in Indiana with the most Weekend Data Pipeline Engineer job openings:

Weekend Data Pipeline Engineer jobs near you

Data Platform Engineer

Jms Technical Solutions

Indianapolis, IN • On-site

$80 - $85/hr

Contractor

Re-posted 22 days ago

Job description

04th August, 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