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Extract Transfer Load Data Jobs in Indiana (NOW HIRING)

Data Engineer

Mishawaka, IN · Hybrid

$150K/yr

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high ...

Data Engineer

South Bend, IN

$112.20K - $134.80K/yr

Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources * Build and optimize data models to support analytics and reporting use cases * Ensure ...

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/yr

Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources * Build and optimize data models to support analytics and reporting use cases * Ensure ...

Data Engineer

South Bend, IN · On-site

$112.20K - $134.80K/yr

Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources * Build and optimize data models to support analytics and reporting use cases * Ensure ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate ...

Snowflake Data Engineer

Indianapolis, IN

$109.40K - $131.40K/yr

You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate ...

Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed * Develop ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

You bring strong expertise in Snowflake, Azure, SQL, and ETL development, and you're comfortable working across the full data lifecycle, from ingestion through analytics enablement. You collaborate ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

Senior AI/ML Engineer

Indianapolis, IN · On-site

$99.90K - $137.20K/yr

... ETL workflows using Spark, Glue, Airflow, • Design, develop, and maintain scalable Python applications, libraries, and scripts for data pipelines, APIs, and LLM workflows, ensuring code quality ...

Lead Data Engineer

Fort Wayne, IN · On-site

$113K - $135.70K/yr

Design, build, and maintain robust ETL/ELT pipelines that curate high-quality, trusted datasets. * Implement and enforce Medallion Architecture standards (Bronze, Silver, Gold). * Ensure data ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Develop ETL pipelines from various data repositories to load into various stages of the data platform * Develop data lake and warehouse architectures that support business objectives. * Integrate ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135.70K/yr

Essential Duties and Responsibilities Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources. Mine data from primary and ...

Data Engineer

Indianapolis, IN · Hybrid

$109.40K - $131.40K/yr

Essential Duties and Responsibilities Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources. Mine data from primary and ...

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Extract Transfer Load Data information

What is the difference between Extract Transfer Load Data vs Data Analyst?

AspectExtract Transfer Load DataData Analyst
Primary RoleExtracts, transforms, and loads data for systems or databasesAnalyzes data to generate insights and reports
Skills & CertificationsSQL, ETL tools, data management certificationsSQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, IT departmentsBusiness intelligence, analytics teams, offices
Industry UsageData integration, database managementBusiness analysis, decision-making

While both roles involve working with data, Extract Transfer Load Data focuses on data extraction, transformation, and loading processes, often in IT or database environments. Data Analysts interpret data to provide insights and support business decisions. Understanding these differences helps clarify career paths and job expectations in data-related fields.

What are popular job titles related to Extract Transfer Load Data jobs in Indiana? For Extract Transfer Load Data jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Extract Transfer Load Data jobs in Indiana look for? The top searched job categories for Extract Transfer Load Data jobs in Indiana are:

Data Engineer

CFS

Mishawaka, IN • Hybrid

$150K/yr

Full-time

Posted 19 days ago


Job description

Data Engineer
Location: South Bend, IN (Hybrid)
Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level)


About the Role

An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark.

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise.

This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy.


What We’re Looking For Must-Have Skills
  • Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.)

  • Hands-on experience with Databricks

  • Strong proficiency in Python and Spark

  • Experience developing and optimizing ETL/ELT pipelines

  • Background working with legacy Microsoft tools such as SSIS and SSRS

  • Deep understanding of data modeling, transformation logic, and pipeline architecture

  • Experience consolidating data into centralized or cloud-based platforms

  • Strong SQL skills

  • Ability to troubleshoot performance issues and optimize large-scale datasets

  • Strong communication skills and ability to collaborate cross-functionally

Nice-to-Have
  • Experience supporting enterprise BI/reporting environments

  • Exposure to ERP, operational, or transactional data systems

  • Experience in manufacturing, agriculture, supply chain, or similar industries

  • Familiarity with data governance and best practices


Key Responsibilities Data Engineering & Platform Development
  • Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark

  • Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform

  • Develop robust ETL/ELT processes to integrate data from multiple enterprise systems

Data Architecture & Optimization
  • Support the design of a unified enterprise data model

  • Optimize data processing performance and reliability

  • Ensure data quality, validation, and integrity across pipelines

Collaboration & Strategy
  • Partner with BI, analytics, and business teams to support enterprise reporting needs

  • Contribute to data standards, governance, and architectural best practices

  • Support the organization’s transition to a modern, centralized data ecosystem


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