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Senior Databricks Data Engineer Jobs in Fairborn, OH

Guidehouse

Senior Data Engineer

Beavercreek, OH

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other ...

Guidehouse

Senior Data Engineer

Beavercreek, OH

$80K - $133K/yr

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other ...

Guidehouse

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/yr

... guidance of senior engineers. * Develop and maintain scripts, queries, and applications using ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Basic understanding ...

Guidehouse

Data Engineer

Beavercreek, OH

$53K - $88K/yr

... guidance of senior engineers. * Develop and maintain scripts, queries, and applications using ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with ...

LDSS Corp

Data Engineer

Dayton, OH · On-site

$120K - $135K/yr

We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

... guidance of senior engineers. * Develop and maintain scripts, queries, and applications using ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with AWS ...

Guidehouse

Data Engineer Lead

Beavercreek, OH

Experience with Databricks, Snowflake, or similar distributed data processing platforms. * Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices.

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... Consultant/Senior Consultant (or USDC/PDM/Specialist equivalent) Highly Desired Qualifications

SIERTEK

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... Consultant/Senior Consultant (or USDC/PDM/Specialist equivalent) Highly Desired Qualifications

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an opportunity remotely ... environmentConsultant/Senior Consultant (or USDC/PDM/Specialist equivalent)Highly Desired ...

IPL (Indiana)

Senior Engineer, Analytics

Dayton, OH · On-site

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the Operations and ... Work with AES Data Engineers to establish and maintain data warehouses to support the O&M team ...

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Senior Databricks Data Engineer information

See Fairborn, OH salary details

$56.2K

$119.6K

$173.3K

How much do senior databricks data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for senior databricks data engineer in Fairborn, OH is $119,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $135,600.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are popular job titles related to Senior Databricks Data Engineer jobs in Fairborn, OH?

For Senior Databricks Data Engineer jobs in Fairborn, OH, the most frequently searched job titles are:

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The top searched job categories for Senior Databricks Data Engineer jobs in Fairborn, OH are:

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Cities near Fairborn, OH with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you

Senior Data Engineer

Guidehouse

Beavercreek, OH

$80K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience building scalable data ecosystems, strong software engineering fundamentals, and the ability to lead technical efforts while collaborating with multidisciplinary teams to deliver mission-critical data solutions.

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting analytics, reporting, and operational workloads.

  • Build and optimize data architectures, data models, and storage solutions across cloud and hybrid environments.

  • Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies.

  • Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies.

  • Design and implement CI/CD pipelines and DevOps best practices for data engineering workflows.

  • Collaborate with architects, developers, analysts, and business stakeholders to translate requirements into technical solutions.

  • Lead data integration, migration, and modernization initiatives, including legacy system transformation efforts.

  • Ensure data quality, integrity, security, and governance standards are incorporated into solution designs.

  • Monitor, troubleshoot, and optimize data pipelines and production environments to ensure reliability and performance.

  • Mentor junior data engineers and support technical knowledge sharing across project teams.

  • Contribute to technical architecture discussions, technology evaluations, and engineering best practices.

  • Develop and maintain technical documentation including data flows, system designs, deployment procedures, and operational guides.

  • Role contingent upon contract award.


What You Will Need:

  • U.S. Citizenship or Green Card is required and must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical field.

  • THREE (3) or more years in data engineering, software engineering, analytics engineering, or a related discipline.

  • Experience in Python, SQL, and data processing frameworks such as Spark or PySpark.

  • Experience designing, developing, and supporting production-grade data pipelines and ETL/ELT processes.

  • Experience working with relational and non-relational databases, including data modeling and query optimization.

  • Experience with cloud platforms such as AWS and/or Azure.

  • Experience with Databricks, Snowflake, or similar large-scale data processing environments.

  • Experience implementing CI/CD pipelines and version control practices using tools such as Git, GitHub, GitLab, Jenkins, or Azure DevOps.

  • Experience implementing data quality, monitoring, and operational support processes.

  • Experience working within Agile software development environments.


What Would Be Nice To Have:

  • Experience supporting federal, healthcare, public health, or other highly regulated environments.

  • Familiarity with containerization technologies such as Docker and orchestration platforms such as Kubernetes.

  • Experience with AWS services such as S3, Redshift, Lambda, ECS, Glue, and SQS.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Ability to independently manage technical tasks and collaborate effectively across teams.

  • Excellent verbal and written communication skills.

  • Experience with Azure services such as Azure Data Factory, Synapse Analytics, Azure Functions, Cosmos DB, and Event Hub.

  • Familiarity with modern data lakehouse architectures and data governance frameworks.

  • Experience implementing Infrastructure-as-Code using Terraform, CloudFormation, or Bicep.

  • Experience with monitoring and observability tools such as CloudWatch, Splunk, Kibana, Datadog, or Elasticsearch.

  • Cloud, Databricks, Snowflake, or related technical certifications.

  • Experience supporting large-scale data modernization or migration programs.

  • Experience with machine learning data pipelines and AI-enabled solutions.

  • Previous consulting or client-facing experience.

The annual salary range for this position is $80,000.00-$133,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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