1

Java Data Engineer Jobs in Indiana (NOW HIRING)

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way ... other programing language (Python, R, Java, etc.) * 2+ years of experience leading analytics ...

Manager of Data and Analytics Full Time Perm Salary: $133,400 - $200,100, plus 15% annual bonus Way ... other programing language (Python, R, Java, etc.) * 2+ years of experience leading analytics ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Jr Software Engineer SynergisticIT is aware that the job market is challenging due to tech layoffs ... Java One (Las Vegas) and at Gartner Data Analytics Summit (Florida): Oracle CloudWorld Event (OCW ...

Full Stack Java

Columbus, IN · On-site

$48.75 - $63/hr

Java 1.8, Spring Boot * Extensive knowledge on Spring MVC, Spring JDBC, Rest Web Services, iBatis ... Data Platform: Elasticsearch, Solr, MongoDB * Process: DevOps, CI/CD * UI Development: Responsive ...

Sr. Software Engineer

Indianapolis, IN

$109K - $131K/yr

Knowledge of SQL language and cloud based technologies Data warehousing concepts, data modeling ... Ability to build analytical solutions and models Coding in languages like Python, Java, JavaScript ...

Sr. Engineer, Software

Indianapolis, IN

$117K - $154K/yr

Design, develop, and maintain production-grade full-stack features spanning Java/C# backend ... Own design and architecture reviews for your squad; drive API contract definitions, data model ...

Full Stack Java

Columbus, IN · On-site

$48.75 - $63/hr

Java 1.8, Spring Boot * Extensive knowledge of Spring MVC, Spring JDBC, Rest Web Services, iBatis ... Data Platform: Elasticsearch, Solr, MongoDB * Process: DevOps, CI/CD * UI Development: Responsive ...

BI Engineer

Carmel, IN

$51 - $66.25/hr

We are seeking a Business Intelligence Engineer who is solutions-oriented, proactive, and thrives ... Java, Scala) * Strong foundation in data modeling, governance, and structuring datasets for ...

next page

Showing results 1-20

Java Data Engineer information

See Indiana salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for java data engineer in Indiana is $57.50, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.95 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What are popular job titles related to Java Data Engineer jobs in Indiana? For Java Data Engineer jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Java Data Engineer jobs? Cities in Indiana with the most Java Data Engineer job openings:
Staff Software Engineer, Data Ingestion - Slack

Staff Software Engineer, Data Ingestion - Slack

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

102nd of 191 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About the team

Slack is looking for a Staff Software Engineer to join the Data Ingestion Team. As part of the Data Engineering organization, we build and operate the platform that ingests data from various sources into our Lakehouse with both streaming and batch approaches. Currently, our infrastructure handles 180PB+ of storage, processes ~1T records a day, 400+ data pipelines and 1000+ Active Airflow DAGs. As Slack's data grows (along with the number of customers, features and employees), the goal of the team is to build a highly scalable and resilient ingestion platform leveraging modern Streaming and Lakehouse technologies.

As a Staff Software Engineer, you will play a key role in driving our streaming and lakehouse strategies while also building highly scalable services and tools to help our customers acquire large volumes of high quality data at scale and making customers' interactions with the ingested data pleasant and productive. You will have deep technical skills, be a self-starter, detail and quality oriented, and passionate about driving data driven decisions and having a huge impact at Slack!

What you will be doing:
  • Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets

  • Design and implement Slack's Lakehouse solutions and enable production use cases for customers

  • Improve the reliability and performance of the services/pipelines through AI assisted and/or Agentic solutions and tools.

  • Automate and handle the lifecycle of datasets (schema evolution, metadata management, change and backfill management, deprecation and migration).

  • As one of the tech leads, comfortably collaborate with cross functional partners and lead technical initiatives independently end to end.

  • Be a role model and a multiplier, coaching and mentoring other engineers across the team and the org.

  • Write, review, or provide feedback on a technical design proposal from others.

What you should have:
  • U.S. citizenship and willing to undergo a background check for GovSlack authorization. We can not provide visa sponsorship for this role.

  • 7+ years of software/data engineering experience, including experience with building applications using Streaming and Lakehouse technologies, e.g. Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg/Hudi/Delta or equivalent

  • You have hands on experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent

  • You are proficient in object-oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent

  • You are skilled at crafting and building robust distributed microservices with tools like Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, etc.

  • You are familiar with AI-assisted software development and automation and have hands on experience of Claude Code/Codex or equivalent

  • You have excellent written and verbal communication and interpersonal skills; able to effectively collaborate with cross functional partners and explaining sophisticated technical concepts to non-technical stakeholders

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

What Salesforce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom