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Data Software Engineer Jobs in Cincinnati, OH (NOW HIRING)

AI Software/ Data Engineer

Cincinnati, OH ยท On-site

$109K - $131K/yr

... Software Engineer to serve as the critical link between our strategic AI initiatives and our core production engineering team. In this unique role, you will partner directly with our data team to ...

AI Software/ Data Engineer

Cincinnati, OH ยท On-site

$111K - $134K/yr

They are seeking a versatile AI Software Engineer to bridge AI initiatives with production engineering, focusing on building data pipelines and operationalizing AI features. Responsibilities : โ€ข ...

Security Software Data Engineer I Location: (City, State) Duration: Contract - 12 months Pay Range: $65/hr $70/hr (W2) Job ID: 409086 About BCforward BCforward is a leading global IT consulting and ...

New

Data Engineer

Cincinnati, OH ยท On-site

$109K - $131K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department ... Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related ...

Data Engineer

Cincinnati, OH ยท On-site

$109K - $132K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department ... Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related ...

Data Engineer

Cincinnati, OH ยท On-site +1

$109K - $131K/yr

Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department ... Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related ...

Data Engineer

Cincinnati, OH ยท On-site

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance ... Create custom software components and analytics applications. * Research and propose new uses for ...

Data Engineer

Cincinnati, OH ยท On-site

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Data Engineer

Cincinnati, OH ยท On-site +1

$109K - $132K/yr

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH ยท On-site

$109K - $132K/yr

Create software applications that support the understanding and visualization of data flows from ... Good knowledge of SQL Server databases and Python programming language is required; * Knowledge of ...

Data Engineer

Cincinnati, OH

$109K - $131K/yr

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH ยท On-site +1

$109K - $132K/yr

Create software applications that support the understanding and visualization of data flows from ... Good knowledge of SQL Server databases and Python programming language is required; * Knowledge of ...

Data Engineer II

Cincinnati, OH

$109K - $131K/yr

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ...

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Showing results 1-20

Data Software Engineer information

See Cincinnati, OH salary details

$42.7K

$124.6K

$170.4K

How much do data software engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data software engineer in Cincinnati, OH is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a data software engineer?

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 are the key skills and qualifications needed to thrive as a data software engineer?

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 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 job categories do people searching Data Software Engineer jobs in Cincinnati, OH look for?

The top searched job categories for Data Software Engineer jobs in Cincinnati, OH are:

Infographic showing various Data Software Engineer job openings in Cincinnati, OH as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,559 per year, or $59.9 per hour.

2356 Security Software Data Engineer I

Cincinnati, OH โ€ข Remote

Smart Data
IT Servicesย โ€ขย 51 - 200 employees

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients’ critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

Job Title: Security Software Data Engineer

Location: REMOTE EST/CST

Years of Experience: 3-15


TOP SKILLS:

Must Have

  • 3 + years of experience in ETL space
  • AWS
  • Power BI
  • Power Shell Scripting
  • Python

Nice To Have

  • 2+ years of Power BI development experience (including Report Builder, Desktop, and Service)

 

What You’ll Do

 As an Information Security Data Visualization Engineer, you will transform complex cybersecurity data into intuitive, interactive analytical experiences that help analysts, engineers, leaders, and executives make informed decisions. Your primary focus will be designing, developing, and maintaining Power BI dashboards, visualizations, scorecards, and analytical solutions that provide meaningful visibility into critical aspects of the bank's cybersecurity programs.

Working closely with cybersecurity teams, data engineers, product owners, architects, and business stakeholders, you will build and enhance visualization solutions that enable users to explore data, investigate trends, understand relationships, and gain operational insights from complex cybersecurity datasets. Leveraging established requirements, data models, and architectural guidance, you will create highly usable and performant solutions that support both day-to-day operations and strategic decision-making.

In This Role, You Will:

  • Develop and maintain Power BI dashboards, reports, scorecards, and interactive visualizations supporting cybersecurity operations, threat intelligence, engineering, risk management, and leadership functions.
  • Create data models, calculated measures, semantic layers, and visual components using Power BI best practices and established design guidance.
  • Develop highly interactive visualizations that enable users to drill into, filter, correlate, and explore cybersecurity data across multiple dimensions and perspectives.
  • Implement reporting and visualization capabilities using existing requirements, designs, and data models.
  • Work with data pipelines, integrations, and ETL processes that enable reliable and scalable visualization and reporting solutions.
  • Collaborate with cybersecurity, engineering, and business teams to implement reporting and visualization solutions aligned with business and operational objectives.
  • Develop and maintain data quality controls, validation processes, testing practices, and documentation to ensure trust in analytical outputs.
  • Contribute ideas and recommendations to improve visualization capabilities, user experiences, and operational visibility.
  • Participate in Agile activities including story refinement, estimation, sprint planning, retrospectives, and standups.
  • Contribute to peer reviews, testing, deployment, and ongoing support of reporting and visualization solutions.
  • Support continuous improvement efforts focused on usability, performance, scalability, maintainability, and user adoption.
  • Perform other duties as assigned.

What You Should Have

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or equivalent professional experience.
  • 4-6+ years of experience developing business intelligence, data visualization, reporting, analytics, or data engineering solutions.
  • Strong experience with Microsoft Power BI, including dashboard development, report development, data modeling, DAX, performance optimization, and visualization design.
  • Experience designing intuitive, highly interactive visualizations that enable users to explore, analyze, and gain insights from complex datasets.
  • Experience developing Power BI solutions that leverage drill-through, drill-down, bookmarks, dynamic filtering, custom visuals, and other interactive capabilities.
  • Strong SQL skills and experience working with relational databases, data warehouses, and large datasets.
  • Experience building and supporting ETL and data integration processes involving structured and semi-structured data sources.
  • Experience with Python, JavaScript, or another modern programming language used for automation, data processing, or integration development.
  • Experience working with cloud-based data platforms and services, preferably AWS.
  • Understanding of data governance, data quality, data modeling, and reporting best practices.
  • Ability to validate data accuracy and develop automated testing and monitoring for reporting and visualization solutions.
  • Experience working in Agile development environments.
  • Strong communication and collaboration skills with the ability to work effectively with both technical and non-technical stakeholders.
  • Ability to implement scalable reporting and visualization solutions based on established requirements, designs, and business objectives.
  • A continuous improvement mindset with a focus on usability, performance, sustainability, maintainability, and operational excellence.

Preferred Qualifications

  • Experience supporting cybersecurity, threat intelligence, risk management, fraud, compliance, or other data-intensive operational programs.
  • Experience with Snowflake, or similar platforms.
  • Familiarity with Power BI administration, governance, deployment pipelines, workspace management, and security models.
  • Experience developing key risk indicators (KRIs), key performance indicators (KPIs), operational scorecards, or executive reporting solutions.
  • Knowledge of data warehousing concepts, dimensional modeling, semantic modeling, and analytical data design techniques.
  • Experience with Infrastructure as Code and modern cloud-native development practices.
  • Familiarity with cybersecurity data sources, security operations workflows, threat intelligence, vulnerability management, or security analytics.

 

What You’ll Get

SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with a company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • You’ll be eligible to earn referral bonuses!