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Java Data Engineer Jobs in Indianapolis, IN (NOW HIRING)

E-Solutions Inc.

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 ...

Verint Systems

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 ...

OPENLANE

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 ...

Platinum Recruiting

JavaScript Engineer

Carmel, IN

Primary Programming Language (Java, J2EE, Javascript, Node.js, Typescript, T-SQL, Oracle PL/SQL ... Oracle Data Base - PL/SQL, Oracle Forms and Reports, Oracle EBS * Experience with Object Oriented ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Java, or similar languages used in AI development. • Hands-on experience with machine learning ...

GMV

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Strong experience with programming languages such as Python, Java, or similar languages used in AI ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Strong experience with programming languages such as Python, Java, or similar languages used in AI ...

Onebridge

AI Developer

Indianapolis, IN · On-site

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Strong experience with programming languages such as Python, Java, or similar languages used in AI ...

Onebridge

AI Developer

Indianapolis, IN

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... Strong experience with programming languages such as Python, Java, or similar languages used in AI ...

SynergisticIT

Entry Level ML Engineer

Zionsville, IN

... Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning ...

Verint Systems

Engineer, Software

Indianapolis, IN

Design, develop, and maintain production-grade full-stack features spanning Java/C# backend ... Participate in design and architecture reviews; contribute to discussions on API contracts, data ...

GMV

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering ...

Huntington

MLOps Automation Senior Lead Engineer

Austin, TX · On-site +1

$103K - $135K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development ...

Keylent Inc

Sr Software Engineer

Indianapolis, IN

$117K - $154K/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 ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Indianapolis, IN

Java Data Engineer information

See Indianapolis, IN salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for java data engineer in Indianapolis, IN is $57.76, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $65.24 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 Indianapolis, IN? For Java Data Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Indianapolis, IN look for? The top searched job categories for Java Data Engineer jobs in Indianapolis, IN are:
Java Data Engineer jobs near you
Sr. Software Engineer

Sr. Software Engineer

E-Solutions Inc.

Indianapolis, IN

$109K - $131K/yr

Other

Posted 7 hours ago

Job description

Position :- Snowflake Developer/Admin
Location :- indianapolis IN (Hybrid Model)
Technical Skills:
  • Knowledge of SQL language and cloud based technologies Data warehousing concepts, data modeling, metadata management Data lakes, multi-dimensional models, data dictionaries Migration to AWS or Azure.
  • Snowflake platform Performance tuning and setting up resource monitors Snowflake modeling roles, databases, schemas SQL performance measuring, query tuning, and database tuning ETL tools with cloud driven skills Integration with third party tools.
  • Ability to build analytical solutions and models Coding in languages like Python, Java, JavaScript Root cause analysis of models with solutions Hadoop, Spark, and other warehousing tools Managing sets of XML, JSON, and CSV from disparate sources SQL based databases like Oracle SQL Server, Teradata, etc.
  • Snowflake warehousing, architecture, processing, administration Data ingestion into Snowflake Enterprise level technical exposure to Snowflake applications
Soft Skills:
  • Project management Problem solving Innovation and best coding practices Interpersonal, presentation, and communication skills Critical and out of the box thinking Analytical, quantitative, problem solving, and organizational skills.
  • Testing and test case preparation abilities Snowflake Developer Roles and Responsibilities Create, test, and implement enterprise level apps with Snowflake Design and implement features for identity and access management Create authorization frameworks for better access control Implement novel query optimization, major security competencies with encryption Solve performance issues and scalability issues in the system.
  • Transaction management with distributed data processing algorithms Possess ownership right from start to finish Build, monitor, and optimize ETL and ELT processes with data models Migrate solutions from on premises setup to cloud based platforms Understand and implement the latest delivery approaches based on data architecture Project documentation and tracking based on understanding user requirements.
  • Perform data integration with third party tools including architecting, designing, coding, and testing phases Manage documentation of data models, architecture, and maintenance processes Continually review and audit data models for enhancement.
  • Maintenance of ideal data pipeline based on ETL tools Coordination with BI experts and analysts for customized data models and integration Code updates, new code development, and reverse engineering.
  • Performance tuning, user acceptance training, application support Maintain confidentiality of data Risk assessment, management, and mitigation plans Regular engagement with teams for status reporting and routine activities Migration activities from one database to another or on premises to cloud

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