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Overnight Microsoft Data Engineer Jobs in Indiana

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be ... REQUIRED MICROSOFT FABRIC SKILLS: * Strong grasp of OneLake concepts: lakehouses vs. warehouses ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data ... Exposure to Microsoft Fabric, Power BI, or similar modern data and analytics platforms preferred.

Data Engineer

Indianapolis, IN

$109K - $131K/yr

Position Summary: As a Data Engineer on our Finance amp; Analytics team, you will build and ... Exposure to Microsoft Fabric, Power BI, or similar modern data and analytics platforms preferred.

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... a data engineer to join their growing data practice. The role involves building and maintaining ... Microsoft Fabric, or Redshift • Familiarity with orchestration and workflow management (Apache ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

What You'll Do You'll design, build, and support cloud data solutions on the Microsoft Azure stack ... Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

What You'll Do You'll design, build, and support cloud data solutions on the Microsoft Azure stack ... Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

What You'll Do You'll design, build, and support cloud data solutions on the Microsoft Azure stack ... Manage code and deployments through Git and Azure DevOps, including CI/CD pipelines across ...

Data Engineer 3. Occupation Code: 15-2051.00 (Data Scientists) 3. Period of Employment (mm/dd/year ... Microsoft Gold Standard : A 6x Microsoft Global Partner of the Year Winner/Finalist - reflecting ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

ETL/Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines ...

New

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines ...

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Showing results 21-40

Overnight Microsoft Data Engineer information

What is an overnight Microsoft data engineer?

Overnight Microsoft Data Engineers are IT professionals who specialize in developing, managing, and optimizing data solutions using Microsoft technologies during overnight shifts. They work with platforms such as Azure, SQL Server, and Power BI to ensure data pipelines, databases, and analytics systems are running smoothly, often performing maintenance or troubleshooting outside of standard business hours. Their responsibilities may include monitoring data flows, resolving technical issues, and supporting business intelligence needs to ensure data availability and reliability for the next business day.

What are the key skills and qualifications needed to thrive as an overnight Microsoft data engineer?

To thrive as an Overnight Microsoft Data Engineer, you need strong skills in data modeling, ETL processes, and expertise with Microsoft SQL Server and Azure data services, typically supported by a degree in computer science or a related field. Proficiency in tools like Azure Data Factory, SQL Server Integration Services (SSIS), and relevant Microsoft certifications such as Azure Data Engineer Associate are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for quickly resolving issues and collaborating with remote or global teams during overnight shifts. These skills ensure data pipelines remain reliable, secure, and efficient, supporting continuous business operations across time zones.

What are some typical challenges faced by overnight Microsoft data engineers, and how can they be managed effectively?

Overnight Microsoft Data Engineers often encounter challenges such as maintaining system uptime during off-peak hours, managing data pipeline failures, and ensuring data integrity without immediate access to full team support. Effective communication with day teams, thorough documentation, and leveraging automated monitoring tools are essential strategies for overcoming these challenges. Additionally, being proactive in identifying potential issues and collaborating with cross-functional teams during handover meetings helps ensure smooth operations and consistent data quality.

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

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

What are popular job titles related to Overnight Microsoft Data Engineer jobs in Indiana?

For Overnight Microsoft Data Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Overnight Microsoft Data Engineer jobs in Indiana look for?

The top searched job categories for Overnight Microsoft Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Overnight Microsoft Data Engineer jobs?

Cities in Indiana with the most Overnight Microsoft Data Engineer job openings:

Infographic showing various Overnight Microsoft Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

$110K - $120K/yr

Full-time

Re-posted 3 days ago


Job description

Schwarz Partners has an exciting opportunity available for a Data Engineer in Carmel, IN! Data Engineers build data pipelines that transform raw, unstructured data into formats that can be used for analysis. They are responsible for creating and maintaining the analytics infrastructure that enables almost every other data function. This includes architectures such as databases, servers, and large-scale processing systems. A Data Engineer uses different technologies to collect and map an organization's data landscape to help decision-makers find cost savings and optimization opportunities. In addition, data Engineers use this data to display trends in collected analytics information, encouraging transparency with stakeholders.
Schwarz Partners is one of the largest independent manufacturers of corrugated sheets and packaging materials in the U.S. Through our family of companies, we continuously build and strengthen our capabilities. You'll find our products wherever goods are packaged, shipped, and sold-from innovative retail packaging to colorful in-store displays at pharmacies and grocers. You also may have spotted our trucks on the highway. Schwarz Partners is built around the idea that independence and innovation go hand in hand. Our structure allows us to adapt to change quickly, get new ideas off the ground, and thrive in the marketplace. Our people are empowered to tap into their talents, build their skills, and grow with us.
ESSENTIAL JOB FUNCTIONS FOR THIS POSITION:
  • Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud technologies.
  • Assemble large, complex sets of data that meet non-functional and functional business requirements.
  • Identify, design, and implement internal data-related process improvements.
  • Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.
  • Conduct configuration & design of application to better leverage the enterprise.
  • Prepare data for prescriptive and predictive modeling.
  • Use effective communication to work with application vendors.
  • Assist in the creation and quality assurance review of design documents and test results to ensure all project requirements are satisfied.
  • Ability to advise and implement on improvements to data warehousing and data workflow architecture.
  • Think outside the box and come up with improvement and efficiency opportunities to streamline business and operational workflows.
  • Document high-level business workflows and transform into low-level technical requirements.
  • Ability to analyze complex information sets and communicate that information in a clear well thought out and well laid out manner.
  • Ability to communicate at varying levels of detail (30,000 ft. view, 10,000 ft. view, granular level) and to produce corresponding documentation at varying levels of abstraction.
  • Be an advocate for best practices and continued learning.
  • Ability to communicate with business stakeholders on status of projects/issues.
  • Ability to prioritize and multi-task between duties at any given time.
  • Solid communication and interpersonal skills.
  • Comply with company policies and procedures and all applicable laws and regulations.
  • General DBA work as needed.
  • Maintain and troubleshoot existing ETL processes.
  • Create and maintain BI reports.
  • Additional duties as assigned.

REQUIRED EDUCATION / EXPERIENCE:
  • Bachelor's degree in Computer Science or 4+ years' experience in related field.

PREFERRED EDUCATION / EXPERIENCE:
  • Experience developing data workflows.
  • Ability to perform prescriptive and predictive modeling.

REQUIRED SKILLS:
  • Demonstrated experience with SQL in a large database environment.
  • Direct experience utilizing SQL to develop queries or profile data.
  • Experience in quantitative and qualitative analysis of data.
  • Experienced level skills in Systems Analysis.
  • Experienced level skills in Systems Engineering.
  • Ability to function as a self-starter.

REQUIRED MICROSOFT FABRIC SKILLS:
  • Strong grasp of OneLake concepts: lakehouses vs. warehouses, shortcuts, mirroring, item/workspace structure.
  • Hands-on with Delta Lake (Parquet, Delta tables, partitioning, V-ordering, Z-ordering, Vacuum retention).
  • Understanding of Direct Lake, Import, and DirectQuery trade-offs and when to use each.
  • Experience designing star schemas and modern medallion architectures (bronze/silver/gold).
  • Spark/PySpark notebooks (jobs, clusters, caching, optimization, broadcast joins).
  • Data Factory in Fabric (Pipelines): activities, triggers, parameterization, error handling/retries.
  • Dataflows Gen2 (Power Query/M) for ELT, incremental refresh, and reusable transformations.
  • Building/optimizing semantic models; DAX (measures, calculation groups, aggregations).
  • Ability to multi-task, think on his/her feet and react, apply attention to detail and follow-up, and work effectively and collegially with management staff and end users.

Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.