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Temporary Sql Data Engineer Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.) * Hands ...

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.) * Hands ...

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Develop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation * Model and manage structured data to support analytics, reporting, and ...

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Develop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation * Model and manage structured data to support analytics, reporting, and ...

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Develop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation * Model and manage structured data to support analytics, reporting, and ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data ... Strong understanding of SQL for querying and manipulating relational databases. Exposure to data ...

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data ... Strong understanding of SQL for querying and manipulating relational databases. Exposure to data ...

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data ... Strong understanding of SQL for querying and manipulating relational databases. Exposure to data ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

An equivalent combination of education and experience may be considered. • 2 - 4 years of data engineering experience. • Proficiency in Snowflake SQL/T-SQL and Python. • Familiarity with ...

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be ... Direct experience utilizing SQL to develop queries or profile data. * Experience in quantitative ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Write and optimize complex code using Python and SQL * Build and manage data transformations using ... of experience in data engineering or data development * Strong hands-on experience with:

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will ... Maintain version control across code, pipeline definitions, SQL models, and integration scripts.

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Position Summary: As a Data Engineer on our Finance amp; Analytics team, you will build and ... Proficiency in SQL and Python. * Experience integrating data from multiple source systems ...

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 ... Proficiency in SQL and Python. * Experience integrating data from multiple source systems ...

Data Engineer

Carmel, IN

$108K - $130K/yr

We are seeking a skilled Data Engineer , along with at least three years of experience, who will ... Maintain version control across code, pipeline definitions, SQL models, and integration scripts.

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 ... Solid SQL skills for data transformation, optimization, and downstream consumption. * Clear ...

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 ... Solid SQL skills for data transformation, optimization, and downstream consumption. * Clear ...

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 ... Solid SQL skills for data transformation, optimization, and downstream consumption. * Clear ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks ... data engineering - pandas, PySpark, REST API integration, unit testing (pytest). • Proficient in ...

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Temporary Sql Data Engineer information

What engineer makes $500,000 a year?

A senior or specialized data engineer, particularly those with extensive experience, advanced skills in SQL, cloud platforms, and data architecture, can earn $500,000 or more annually. Such high salaries are typically found in large tech companies, finance, or consulting firms, often involving leadership roles or highly complex projects.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for managing data workflows, integrating new tools, and ensuring data quality and security.

Can a SQL developer become a data engineer?

A SQL developer can transition to a data engineer role by gaining skills in data pipeline development, distributed systems, and programming languages like Python or Scala. Data engineers often work with tools such as Apache Spark, Hadoop, and cloud platforms, which may require additional training beyond SQL expertise.

What engineers make $300,000 a year?

Senior data engineers, including those working with SQL and big data tools, can earn $300,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or in leadership roles.

What is the difference between Temporary Sql Data Engineer vs Permanent Sql Data Engineer?

AspectTemporary Sql Data EngineerPermanent Sql Data Engineer
DurationShort-term, project-basedLong-term, ongoing employment
CredentialsTypically similar, often requiring SQL, data management skillsSame as temporary, may include additional certifications
Work EnvironmentContract roles, often in consulting or project teamsFull-time in company teams or departments
Employer UsageUsed for specific projects or to fill temporary staffing gapsUsed for ongoing data management and infrastructure

The main difference between a Temporary Sql Data Engineer and a Permanent Sql Data Engineer lies in employment duration and commitment. Temporary roles are project-based and short-term, ideal for specific tasks, while permanent positions offer long-term stability and ongoing responsibilities within an organization.

What are the most commonly searched types of Sql Data Engineer jobs in Indiana? The most popular types of Sql Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Temporary Sql Data Engineer jobs? Cities in Indiana with the most Temporary Sql Data Engineer job openings:

Data Engineer

CFS

South Bend, IN • Hybrid

$150K/yr

Full-time

Re-posted 23 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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