Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support * Working with cyber ...
Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support * Working with cyber ...
In this role, you will lead a highly specialized 7-member team including Technical Experts like the NSIC Lead Data Engineer guiding staff across squadrons and the NSIC Principal Cloud Architect ...
In this role, you will lead a highly specialized 7-member team including Technical Experts like the NSIC Lead Data Engineer guiding staff across squadrons and the NSIC Principal Cloud Architect ...
Data Engineering Leader
Dayton, OH · On-site
Prior experience using methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub ... As a Data Engineering Leader you will serve as both the visionary architect and driving force ...
Data Engineering Leader
Dayton, OH · On-site
Prior experience using methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub ... As a Data Engineering Leader you will serve as both the visionary architect and driving force ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... AWS Data centers have multiple components such as generators, uninterruptable power sources, diesel ...
AI/ML Engineer (Active TS/SCI )
Dayton, OH · On-site +1
Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...
Quick apply
AI/ML Engineer (Active TS/SCI )
Dayton, OH · On-site +1
Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...
Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...
Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...
AI/ML Engineer (Active TS/SCI )
Dayton, OH · On-site +1
Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...
AI/ML Engineer (Active TS/SCI )
Dayton, OH · On-site +1
Collaborate with data engineers and software teams to integrate models into production systems * Ensure reproducibility through data versioning and metadata standards * Continuously evaluate and ...
Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience. * Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring ...
Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience. * Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring ...
Ai/Ml Architect
Marysville, OH · On-site
$58.50 - $75.25/hr
The role involves leveraging extensive experience in AI/ML, data engineering, and cloud architecture to lead projects and mentor teams while ensuring high standards in software engineering and MLOps ...
Ai/Ml Architect
Marysville, OH · On-site
$58.50 - $75.25/hr
The role involves leveraging extensive experience in AI/ML, data engineering, and cloud architecture to lead projects and mentor teams while ensuring high standards in software engineering and MLOps ...
AI Digital Systems Engineer
Beavercreek, OH · On-site
$160K - $190K/yr
This role focuses on bridging AI/ML technologies with software, data, and system architectures to enable intelligent decision-making, automation, and advanced analytics within complex engineering ...
AI Digital Systems Engineer
Beavercreek, OH · On-site
$160K - $190K/yr
This role focuses on bridging AI/ML technologies with software, data, and system architectures to enable intelligent decision-making, automation, and advanced analytics within complex engineering ...
Senior Forward Deployed Engineer - Snowflake
Dayton, OH · On-site
$101K - $139K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Senior Forward Deployed Engineer - Snowflake
Dayton, OH · On-site
$101K - $139K/yr
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...
Palantir Engineer
Marysville, OH · On-site
Palantir Developer designs, builds, and deploys data-driven applications and analytics workflows within the Palantir Foundry platform. Key responsibilities: * include creating data pipelines ...
Palantir Engineer
Marysville, OH · On-site
Palantir Developer designs, builds, and deploys data-driven applications and analytics workflows within the Palantir Foundry platform. Key responsibilities: * include creating data pipelines ...
Data Engineer information
See Springfield, OH salary details
$40.1K - $51K
0% of jobs
$51K - $61.9K
1% of jobs
$61.9K - $72.8K
3% of jobs
$72.8K - $83.6K
4% of jobs
$83.6K - $94.5K
7% of jobs
$104.1K is the 25th percentile. Wages below this are outliers.
$94.5K - $105.4K
11% of jobs
$105.4K - $116.3K
12% of jobs
The median wage is $119.2K / yr.
$116.3K - $127.2K
45% of jobs
$127.2K - $138.1K
8% of jobs
$138.1K - $149K
5% of jobs
$149K - $159.9K
3% of jobs
$40.1K
$116.8K
$159.9K
How much do data engineer jobs pay per year?
What is the difference between Data Engineer vs Data Scientist?
| Aspect | Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building and maintaining data pipelines and infrastructure | Analyzing data to extract insights and create models |
| Skills | SQL, ETL, programming (Python, Java), database management | Statistics, machine learning, data analysis, programming (Python, R) |
| Work Environment | Data warehouses, cloud platforms, backend systems | Data analysis environments, research labs, visualization tools |
| Common Tools | Apache Spark, Hadoop, Airflow, SQL | Jupyter, RStudio, Tableau, scikit-learn |
Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.
What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?
What Does a Data Engineer Do?
The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.
What are Data Engineers?
How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Consultant - Data Science / Data Lake
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
Qualifications
Required:
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CDRCyber27
Qualifications:Consultant - Data Science / Data Lake
Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.
Recruiting for this role ends on 06/30/2026.
Work you'll do
As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...
- Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
- Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
- Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
- Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
- Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.
Qualifications
Required:
- 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
- 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
- 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
- Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
- Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
- Experience parsing and normalizing cyber or information technology telemetry datasets
- Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
- Experience with Apache Kafka, Storm, or Spark
- Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#CDRCyber27
Education:Bachelor's DegreeEmployment Type: