GRVTY

66 Grvty Data Software Engineer Jobs Hiring Near You

Java/Data Software Engineer

Duluth, GA · Hybrid

$47.75 - $65.25/hr

Java/Data Software Engineer Location: Jersey City -HYBRID data group working on a reference data new platform need very strong data skills wants scala but willing to have java and teach scala if ...

... data and network analysis. What You'll be Owning * Applications developed will vary from stand ... At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a ...

Data/Software Engineer

Boston, MA · On-site

$124.80K - $149.80K/yr

Specific duties will include developing enhancements to our Hadoop/Hive and Redshift based data ... Strong software development skills, including experience with Java. * Degree in Computer Science or ...

... data and network analysis. What You'll be Owning * Applications developed will vary from stand ... At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a ...

What You'll be Owning GRVTY is seeking a Software Engineer with a TS/SCI + Poly clearance ... Experience with Spring Boot, Spring MVC, Spring Data, Sprint Security, JMS, KAFKA, Java, Oracle ...

What You'll be Owning GRVTY is seeking a Software Engineer with a TS/SCI + Poly clearance ... Develop simple data queries for existing or proposed databases or data repositories * Write or ...

Showing results 61-66

GRVTY Jobs Information

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

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What other companies are hiring for Data Software Engineer jobs?
What are the most popular categories at Grvty?
Infographic showing various Data Software Engineer job openings at Grvty in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Java/Data Software Engineer

Java/Data Software Engineer

RIT Solutions

Duluth, GA • Hybrid

$47.75 - $65.25/hr

Contractor

Posted 27 days ago


Job description

Java/Data Software Engineer
Location: Jersey City -HYBRID
data group working on a reference data new platform need very strong data skills
wants scala but willing to have java and teach scala if everything else is strong
want Graph database Mongo database
SQL
linux kafka
Python nice to have
Prefer financial background
• Cesium Reference Data Platform team needs a skilled programmer to support development and support of the platform.
• Cesium Reference Data Platform uses RDF/Scala technologies and is core reference data platform within Global Markets
• The position requires application programmer to support development of critical Never Down Initiatives for 2026 and 2027/2028
Required Qualifications
• Application programming in J2EE/Scala
• Knowledge/Experience of Resource Description Framework (RDF) and Graph Databases
Desired Qualifications
• Experience in Python is a plus