Saransh

66 Saransh Data Software Engineer Jobs Hiring Near You

Okta Engineer Work Location: Columbus, OH or Plano, TX or Remote Duration: Long Term The Engineer ... Conduct data analysis exercises using Excel Pivot Tables, database queries, and other data driven ...

Mainframe Developer - Onsite

Columbus, OH · On-site

$47.25 - $60.75/hr

Mainframe Developer Work Location: Columbus, OH Duration: Longterm * 8 to 10 Yrs of experience in the Mainframe & Java Modernization space. * The Candidate has experience in understanding the ...

... data architectures and enterprise-grade business applications. * Domain with Technology Solution ... Familiarity with transformation approaches including exposure to re-engineering, Business Process ...

Data & Software Engineer

Minneapolis, MN

$119.50K - $143.50K/yr

We are seeking a Data & Software Engineer to join our rapidly growing product and engineering development team. Our company specializes in enterprise-level media measurement and optimization across ...

Data & Software Engineer

New York, NY

$125.30K - $150.40K/yr

We are seeking a Data & Software Engineer to join our rapidly growing product and engineering development team. Our company specializes in enterprise-level media measurement and optimization across ...

Data & Software Engineer

Chicago, IL

$118K - $141.60K/yr

We are seeking a Data & Software Engineer to join our rapidly growing product and engineering development team. Our company specializes in enterprise-level media measurement and optimization across ...

Data Software Engineer

Manhattan, NY

$125.20K - $150.40K/yr

Our client - a prosperous prop trading market maker - is seeking Software Engineers to join one of several Data Engineering teams. They are responsible for the design, development, and operations of ...

Data & Software Engineer

Mclean, VA · On-site +1

$115.70K - $139K/yr

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an ...

Data Software Engineer

Palo Alto, CA · On-site

$134.60K - $161.60K/yr

As a Data Software Engineer, you will be at the forefront of supporting our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements ...

Data Software Engineer

Palo Alto, CA

$134.70K - $161.80K/yr

As a Data Software Engineer, you will be at the forefront of supporting our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements ...

Data & Software Engineer

Mclean, VA · On-site +1

$115.70K - $139K/yr

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an ...

Data Software Engineer

Manhattan, NY · On-site

$125.20K - $150.40K/yr

Our client - a prosperous prop trading market maker - is seeking Software Engineers to join one of several Data Engineering teams. They are responsible for the design, development, and operations of ...

Data & Software Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an ...

Data Software Engineer

Palo Alto, CA · On-site

$134.60K - $161.60K/yr

As a Data Software Engineer, you will be at the forefront of supporting our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements ...

Data Software Engineer

Manhattan, NY

$126.20K - $151.60K/yr

We are seeking a Private Credit Data Scientist to sit at the intersection of software and data engineering, supporting back/middle office teams across portfolio analytics, automated reporting ...

Data & Software Engineer

Las Vegas, NV

$104.80K - $125.90K/yr

The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This ...

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Saransh 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 Saransh?
Infographic showing various Data Software Engineer job openings at Saransh in the United States as of May 2026, with employment types broken down into 6% Full Time, and 94% Contract. Highlights an 96% Physical, and 4% Remote job distribution.

Senior Java Developer - Spark - Onsite

Saransh Inc

Columbus, OH • On-site

$55.25 - $70.50/hr

Contractor

Posted 1 hour ago


Job description

Job Title: Senior Java Developer

Work Location: Columbus, OH

Duration: Long Term 

Job Description

  • Contribute to building brand new data platforms in AWS, using Java and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. You will design and implement micro services and data pipelines using Java, Sprint Boot, Kafka, Spark and AWS services. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.

Must Have Tech Skills:

  • Demonstrable experience as a senior data engineer.
  • Expert in Java and Spark, with a deep focus on data transformations, processing and data engineering practices.
  • Expert in micro service implementation using Java, Sprint Boot, Kafka and Kubernetes.
  • Good knowledge on AWS services like EKS, S3, SQS, Lambda, SNS, MSK.
  • Experience in implementing tests using Junit, Mockito, Cucumber and Karate.
  • Good knowledge in performance tuning Spark jobs and micro services.

Nice To Have Tech Skills:

  • Experience in solution architecture and technical design, allowing for the creation of scalable, reliable data architectures that meet both technical and business requirements
  • A master’s degree or equivalent experience or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous

Key Accountabilities:

  • Provides guidance on standard methodologies in design, development, and implementation, ensuring solutions meet business requirements and technical standards.
  • Drive the migration of existing data processing workflows to the Lakehouse architecture, using Iceberg capabilities.
  • Communicates complex technical information clearly, tailoring messages to the appropriate audience to ensure alignment.
  • Good ability in debugging, problem solving and performance tuning of micro services and high volume spark applications.

Key Skills:

  • Deep technical knowledge of data engineering solutions and practices. Implementation of data pipelines using Kafka, Spark and AWS services.
  • Highly proficient in Java, Spark and familiar with a variety of development technologies. This knowledge enables the Senior Data Engineer to adapt solutions to project-specific needs.
  • Proficient in creating clear, comprehensive documentation. Ensures that documentation supports technical teams' knowledge and compliance, making it accessible and valuable for future reference
  • Proficient in quality assurance practices, including code reviews, automated testing, and standard methodologies for data validation.
  • Experience in using automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.