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Night Shift Data Engineer Remote Jobs in Indiana

$106K - $128K/yr

The role We're looking for a Data Engineer (m/f/d) to build and improve internal data solutions ... Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

... data, or cause non-compliance with regulations such as PCI, HIPAA, CMMC and many more. CimTrak ... Proven work experience as a Sales Engineer * Proven track record selling complex enterprise ...

... data, or cause non-compliance with regulations such as PCI, HIPAA, CMMC and many more. CimTrak ... Proven work experience as a Sales Engineer * Proven track record selling complex enterprise ...

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

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Night Shift Data Engineer Remote information

What does a night shift data engineer remote do?

A Night Shift Data Engineer (Remote) is responsible for designing, building, and maintaining data pipelines and infrastructure during overnight hours, often to support real-time data processing or to ensure uninterrupted operations across global teams. Working remotely, they monitor data flows, troubleshoot issues, and optimize performance, ensuring data is available and accurate for business needs. They often collaborate with other engineers and analysts in different time zones, making communication skills and flexibility important. Night shift roles may be required to support 24/7 operations or to align with business activities in other regions.

What are the key skills and qualifications needed to thrive as a night shift data engineer remote?

To excel as a Night Shift Data Engineer (Remote), you need a solid background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like SQL and Python. Familiarity with data warehousing solutions, cloud platforms (such as AWS or Azure), and tools like Apache Spark or Hadoop is typically required, along with relevant certifications. Strong problem-solving abilities, effective written communication, and self-motivation are crucial soft skills for remote, overnight work. These competencies ensure high-quality data management, seamless workflow continuity, and reliable support for business operations during off-peak hours.

What are some common challenges faced by night shift data engineers working remotely, and how can they be managed?

Night shift data engineers working remotely often face challenges such as maintaining effective communication with daytime teams, managing irregular sleep schedules, and staying engaged while working independently. To address these, it's essential to establish clear handoff procedures with colleagues, use collaboration tools effectively, and set consistent routines for work and rest. Regular check-ins with teammates and proactive documentation can also help ensure smooth project continuity and personal well-being.

What is the difference between Night Shift Data Engineer Remote vs Night Shift Data Analyst Remote?

AspectNight Shift Data Engineer RemoteNight Shift Data Analyst Remote
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Analytics, Data Analysis certifications
Work EnvironmentTechnical, infrastructure-focusedBusiness, reporting-focused
Employer & Industry UsageTech, finance, healthcareRetail, marketing, finance
Common Search & ComparisonYesNo

Night Shift Data Engineer Remote roles focus on building and maintaining data pipelines and infrastructure, requiring technical certifications and a background in computer science. Night Shift Data Analyst Remote positions emphasize analyzing data to generate reports, often needing analytics certifications. Both roles operate remotely during night shifts but serve different functions within organizations.

What job categories do people searching Night Shift Data Engineer Remote jobs in Indiana look for?

The top searched job categories for Night Shift Data Engineer Remote jobs in Indiana are:

What cities in Indiana are hiring for Night Shift Data Engineer Remote jobs?

Cities in Indiana with the most Night Shift Data Engineer Remote job openings:

Infographic showing various Night Shift Data Engineer Remote job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Engineer (Snowflake)

Indianapolis, IN โ€ข On-site, Remote

$101K - $137K/yr

Full-time

Posted 27 days ago


Job description

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role:
ย 

We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help build and optimize modern cloud-based data solutions that support critical business operations.

In this role, you'll design, develop, and maintain scalable ETL/ELT pipelines, optimize data models, and ensure the delivery of accurate, high-quality data to downstream business systems. You'll work with modern cloud-native technologies while helping evolve the organization's data platform toward a Snowflake and dbt architecture.

The ideal candidate has strong experience building enterprise data pipelines, designing scalable data warehouses, and transforming complex business requirements into reliable data solutions.

Remote - United States (Midwest Preferred)

Occasional travel to Chicago may be required.

Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
  • Build and optimize data models in Snowflake for analytics and operational reporting.
  • Develop data transformation processes supporting business intelligence and downstream applications.
  • Design and maintain enterprise data pipelines integrating CRM, ERP, billing, and other business systems.
  • Ensure data quality, integrity, consistency, and reliability across all data workflows.
  • Build and maintain outbound integrations with enterprise applications and reporting platforms.
  • Monitor, troubleshoot, and optimize pipeline execution and query performance.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Support the evolution of modern cloud-native data architecture using Snowflake and dbt.
  • Participate in code reviews and continuously improve engineering best practices.
Requirements:
  • 5+ years of professional Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Strong SQL and data warehousing experience.
  • Experience designing and maintaining ETL/ELT pipelines.
  • Experience working with enterprise business data.
  • Experience integrating multiple enterprise applications.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.
  • Strong written and verbal English communication skills.
  • Must be based in the United States.
Must Have:
  • 5+ years of Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Advanced SQL skills.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience with Matillion or similar ETL/ELT platforms.
  • Strong data modeling experience.
  • Experience designing enterprise data warehouses.
  • Experience optimizing Snowflake performance.
  • Experience integrating CRM, ERP, billing, and other enterprise systems.
  • Experience building scalable data pipelines.
  • Strong understanding of data quality, governance, and integrity.
  • Experience translating business requirements into scalable data solutions.
Nice to Have
  • Experience with dbt (Data Build Tool).
  • Experience migrating ETL workloads to Snowflake-native architectures.
  • Experience with SAP Callidus.
  • Experience with Xactly.
  • Experience with CaptivateIQ.
  • Experience working with Sales Compensation or Incentive Compensation Management (ICM) platforms.
  • Experience supporting Revenue Operations or Sales Operations teams.
  • Experience with Snowflake Cortex.
  • Experience implementing AI-driven data workflows.
  • Experience working with Finance or Commission-related datasets.
Come join us in breaking the mold and revolutionizing the tech landscape!

You can also apply here:

Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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