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Data Engineer 1 Jobs in Indiana (NOW HIRING)

One Bridge Inc

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for transforming complex, raw data into trusted, authoritative sources that power analytics and business ...

Software Technology Inc

Data Engineer

Carmel, IN · On-site

$113K - $136K/yr

Data Engineer The Data Engineer plays a critical role in the successful execution of the client ... Bachelor's Degree required * 1-3 years of experience in data and dimensional modeling * 1+ years of ...

Schwarz Partners

Data Engineer

Carmel, IN · On-site

$113K - $136K/yr

Data Engineer Schwarz Partners has an exciting opportunity available for a Data Engineer in Carmel ... Schwarz Partners is one of the largest independent manufacturers of corrugated sheets and packaging ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN

$104K - $125K/yr

This includes, but is not limited to, F-1 STEM OPT , H-1B, TN, E-3, O-1, or any other work ... Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ...

Independence Corrugated

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be ... Schwarz Partners is one of the largest independent manufacturers of corrugated sheets and packaging ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers! - - - - - - - - - - - - This opportunity is in Woodburn, Indiana in our BF Goodrich tire plant. Woodburn is ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

This includes, but is not limited to, F-1 STEM OPT , H-1B, TN, E-3, O-1, or any other work ... Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ...

Steel Dynamics, Inc.

Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

This includes, but is not limited to, F-1 STEM OPT , H-1B, TN, E-3, O-1, or any other work ... Overview We are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers! - - - - - - - - - - - - This opportunity is in Woodburn, Indiana in our BF Goodrich tire plant. Woodburn is ...

Deloitte

Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

Multiple benefit plans, eligibility begins on day one of employment * Culturally focused on work ... and engineers to improve efficiency and data organization; improve performance through data ...

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Multiple benefit plans, eligibility begins on day one of employment * Culturally focused on work ... and engineers to improve efficiency and data organization; improve performance through data ...

Bespoke Labs

Data Engineer

South Bend, IN

$112K - $135K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Indianapolis, IN

$100K - $120K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Hammond, IN

$109K - $130K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Terre Haute, IN · On-site

$108K - $130K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Hammond, IN · On-site

$109K - $130K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Fort Wayne, IN · On-site

$105K - $126K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Evansville, IN · On-site

$109K - $131K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

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Showing results 1-20

All JobsData Engineer 1 JobsData Engineer 1 Jobs in Indiana

Data Engineer 1 information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data engineer 1 jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data engineer 1 in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

What is a Data Engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are some common challenges faced by entry-level Data Engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is data engineer 1?

A Data Engineer 1 is an entry-level professional responsible for designing, building, and maintaining data pipelines and infrastructure. They typically work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and reporting. Strong programming skills and understanding of databases are essential for this role.

What are the key skills and qualifications needed to thrive as a Data Engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

Can I make 200K as a data engineer?

Data engineers can earn 200K or more annually, especially with several years of experience, advanced skills in tools like Spark or Hadoop, and in high-demand industries or regions. Salaries vary based on location, company size, and expertise, with senior roles and specialized skills commanding higher pay.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $300,000 or more annually, especially in high-cost-of-living areas or within top-tier companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require several years of experience and expertise in cloud platforms, data architecture, and programming languages like Python or Scala.
What are popular job titles related to Data Engineer 1 jobs in Indiana? For Data Engineer 1 jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Engineer 1 jobs in Indiana look for? The top searched job categories for Data Engineer 1 jobs in Indiana are:
Data Engineer 1 jobs near you
Infographic showing various Data Engineer 1 job openings in Indiana as of June 2026, with employment types broken down into 90% Full Time, 5% Contract, and 5% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Snowflake Data Engineer

One Bridge Inc

Indianapolis, IN • On-site

$109K - $131K/yr

Other

Posted yesterday

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team.

Snowflake Data Engineer | About You

As a Snowflake Data Engineer, you are responsible for transforming complex, raw data into trusted, authoritative sources that power analytics and business decision‑making. You thrive in fast‑paced, agile environments and enjoy designing scalable data solutions that integrate across cloud platforms. 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 effectively with technical and business stakeholders to deliver high‑quality, reliable data products. You also bring a strong passion for AI‑assisted development and modern “vibe coding,” actively leveraging intelligent tools to accelerate development, improve code quality, and explore innovative data engineering patterns.

**Snowflake Data Engineer | Day-to-Day **

  • Design, build, and maintain scalable, reliable data pipelines using Snowflake, Azure, and modern ETL frameworks.
  • Develop and optimize SQL‑based transformations and data models that support enterprise reporting, analytics, and data products.
  • Partner with business, analytics, and engineering teams to create authoritative data sources that enable self‑service analytics and commercialization.
  • Support and enhance data integration processes, including modernization of legacy ingestion and transformation workflows.
  • Collaborate with BI and analytics teams to enable reporting and self‑service analytics using platforms such as Power BI or Sigma, ensuring data accuracy and accessibility.
  • Participate in Agile delivery practices using tools such as Jira and ServiceNow, contributing to planning, documentation, and continuous improvement.
  • Actively apply AI‑powered coding tools and automation techniques to streamline development workflows, improve efficiency, and experiment with emerging capabilities.

**Snowflake Data Engineer | Skills & Experience **

  • 5+ years of experience in data engineering, data architecture, or a related technical discipline.
  • Strong hands‑on experience with Snowflake, including data modeling, performance optimization, and large‑scale transformation workloads.
  • Required expertise in Azure, SQL, and ETL development, supporting cloud‑based data platforms and integrations.
  • Experience designing, building, and maintaining enterprise‑grade data pipelines and transformation frameworks.
  • Familiarity with Agile methodologies and tools such as Jira and ServiceNow.
  • Experience supporting analytics and reporting platforms such as Power BI or Sigma, with an understanding of self‑service analytics principles.
  • AI‑assisted development experience is required, including hands‑on use of tools such as Claude Code, GPT‑based assistants, Cursor, Kizer, or similar technologies to enhance productivity and innovation.
  • Experience working with healthcare or regulated industry data is a strong plus, including awareness of data quality, governance, and sensitivity considerations.

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