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Remote Data Engineering Jobs in Cincinnati, OH (NOW HIRING)

Data Engineer

Cincinnati, OH ยท On-site +1

$109K - $131K/yr

Support data engineering needs for predictive analytics and machine learning initiatives, including feature engineering, data preparation, and model enablement * Assist in modernizing data platforms ...

Data Engineer

Cincinnati, OH ยท On-site +1

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 3+ years of experience in Data Engineering; * Knowledge of developing dimensional data models and awareness of the ...

Data Engineer

Fairfield, OH ยท Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Data Engineer

Fairfield, OH ยท Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Data Engineer

Fairfield, OH ยท Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Oracle Developer

Cincinnati, OH ยท Remote

$55.25 - $68.50/hr

Oracle Data Engineer Location: Cincinnati, OH preferred, REMOTE USA (EST) OK Design, develop, and maintain ETL pipelines and data warehouse processes across multiple source systems. Build and enhance ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH ยท On-site +1

$109K - $132K/yr

Bachelor's Degree in Computer Science, Data Science, or a related field; * 1-3+ years of experience in Data Engineering; * Background in working with AI tools that support areas such as data ...

Principal Engineer

Evendale, OH ยท Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Ability to work collaboratively with other application development and data engineering areas to ...

Principal Engineer

Evendale, OH ยท Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Ability to work collaboratively with other application development and data engineering areas to ...

Principal Engineer

Evendale, OH ยท Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Ability to work collaboratively with other application development and data engineering areas to ...

Principal Engineer

Evendale, OH ยท Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Ability to work collaboratively with other application development and data engineering areas to ...

Principal Engineer

Evendale, OH ยท Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Ability to work collaboratively with other application development and data engineering areas to ...

MLOps Automation Senior Lead Engineer

Cincinnati, OH ยท On-site +1

$99K - $131K/yr

Collaborate closely with product development, architecture, data engineering and testing teams to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

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Showing results 1-20

Remote Data Engineering information

See Cincinnati, OH salary details

$42.7K

$124.5K

$170.3K

How much do remote data engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineering in Cincinnati, OH is $124,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Cincinnati, OH?

The most popular types of Data Engineering jobs in Cincinnati, OH are:

What job categories do people searching Remote Data Engineering jobs in Cincinnati, OH look for?

The top searched job categories for Remote Data Engineering jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Remote Data Engineering jobs?

Cities near Cincinnati, OH with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Cincinnati, OH as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,460 per year, or $59.8 per hour.

2356 Security Software Data Engineer I

Smart Data

Cincinnati, OH โ€ข Remote

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


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!