1

Data Programmer Salary Jobs in Indiana (NOW HIRING)

Data Engineer

South Bend, IN ยท Hybrid

$150K/yr

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 ...

Data Engineer

Austin, IN ยท On-site

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Salary : $135,000 - $155,000, DOE

Data Engineer - Senior Manager

Indianapolis, IN ยท On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Job Posting End Date The salary range for this position is: $124,000 - $280,000. Actual ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

Salary: The salary for this position traditionally starts at $79,118 but may be commensurate with ... May lead data engineering projects as well as mentor team members on the projects they manage. The ...

Salary: The salary for this position traditionally starts at $79,118 but may be commensurate with ... May lead data engineering projects as well as mentor team members on the projects they manage. The ...

Data Engineer Lead

Evansville, IN ยท On-site

$98K - $199K/yr

Data Engineer Lead Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville | US-WI ... In return, we offer competitive compensation with our salary and incentive program, in addition to ...

Senior Data Engineer

Indianapolis, IN ยท Hybrid

$106K - $197K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... The typical starting salary range for this role is determined by a number of factors including ...

Senior Data Engineer

Indianapolis, IN ยท Hybrid

$101K - $137K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... The typical starting salary range for this role is determined by a number of factors including ...

Senior Data Engineer

Indianapolis, IN ยท Hybrid

$101K - $137K/yr

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and ... The typical starting salary range for this role is determined by a number of factors including ...

Data Engineer

New Albany, IN ยท On-site +1

$105K - $127K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we ... You will be able to make part of your salary more flexible through our flexible salary plan where ...

Data Strategy-Manager

Indianapolis, IN ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Data Governance- Manager

Indianapolis, IN ยท On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

next page

Showing results 1-20

Data Programmer Salary information

What is the average salary of a Data Programmer?

The average salary of a Data Programmer in the United States typically ranges from $65,000 to $110,000 per year, depending on factors such as experience, education, location, and industry. Entry-level positions may start around $60,000, while senior or specialized Data Programmers can earn upwards of $120,000 annually. In addition to base salary, benefits and bonuses can vary by employer. Salaries may also differ if the job title overlaps with roles such as Data Engineer or Data Analyst.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and statistical analysis, and roles in high-paying industries or senior positions. Compensation varies based on location, company size, and individual expertise, with some senior data scientists and those in specialized fields reaching or exceeding this level.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in programming languages like Python or Scala, and expertise with big data tools such as Hadoop or Spark. Salaries vary based on location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What are the typical career advancement opportunities for Data Programmers within a tech organization?

Data Programmers often begin their careers supporting data integration, transformation, and automation tasks. With experience, they can progress to senior data engineering roles, data architect positions, or move into specialized areas like machine learning engineering or data analytics. Advancement often depends on gaining proficiency in advanced programming languages, handling larger datasets, and demonstrating the ability to collaborate on cross-functional projects. Many organizations also support ongoing professional development through training and mentorship, which further facilitates upward mobility.

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

To thrive as a Data Programmer, you need proficiency in programming languages such as SQL, Python, or R, along with a relevant degree in computer science or a related field. Familiarity with database management systems (e.g., MySQL, Oracle), data visualization tools, and sometimes certifications in data analytics or specific platforms are often required. Strong analytical thinking, attention to detail, and effective problem-solving set top performers apart. These skills ensure accurate data processing, efficient database management, and the ability to deliver actionable insights for organizational success.

What is the difference between Data Programmer Salary vs Data Analyst Salary?

AspectData ProgrammerData Analyst
Required CredentialsBachelor's in Computer Science, Programming skillsBachelor's in Statistics, Data Analysis skills
Work EnvironmentSoftware development teams, IT departmentsBusiness teams, research departments
Employer & Industry UsageTech companies, finance, healthcareMarketing, finance, consulting
Common Search & ComparisonYesYes

While both Data Programmers and Data Analysts work with data, Data Programmers focus on developing and maintaining data processing software, requiring strong programming skills. Data Analysts interpret data to provide insights, often using statistical tools. Salaries vary based on experience, location, and industry, but understanding these roles helps clarify salary expectations in the data industry.

What engineer makes $500,000 a year?

A senior data engineer or software engineer with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Such roles often require advanced knowledge of data architecture, cloud platforms, and programming languages like Python or Java, along with leadership responsibilities or stock options.

What do data programmers do?

Data programmers develop, test, and maintain software that processes and analyzes large datasets. They often use programming languages like Python, SQL, or R and work with databases, data pipelines, and data management tools to support data-driven decision-making.
What cities in Indiana are hiring for Data Programmer Salary jobs? Cities in Indiana with the most Data Programmer Salary job openings:
Data Engineer

Data Engineer

CFS

South Bend, IN โ€ข Hybrid

$150K/yr

Full-time

Posted 15 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 Weโ€™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 organizationโ€™s transition to a modern, centralized data ecosystem


Click here to apply online