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Databricks Engineer Jobs in Dayton, OH (NOW HIRING)

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 ...

Honeywell

Sr Advanced Cloud Developer

Franklin, OH · On-site

$55.25 - $71.75/hr

Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. * Optimize large-scale data processing jobs for performance and cost.

Honeywell

Sr Advanced Cloud Developer

Lebanon, OH · On-site

$54.75 - $71.25/hr

Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. * Optimize large-scale data processing jobs for performance and cost.

Honeywell

Sr Advanced Cloud Developer

Middletown, OH · On-site

$56 - $73/hr

Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. * Optimize large-scale data processing jobs for performance and cost.

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$56.50 - $73.25/hr

Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. * Optimize large-scale data processing jobs for performance and cost.

Honeywell

Sr Advanced Cloud Developer

Monroe, OH

$57 - $74.25/hr

Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. * Optimize large-scale data processing jobs for performance and cost.

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$56.50 - $73.25/hr

Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. * Optimize large-scale data processing jobs for performance and cost.

Honeywell

Sr Advanced Cloud Developer

Mason, OH

$56.50 - $73.50/hr

Databricks & Data Engineering * Build scalable ETL/ELT pipelines using Databricks, Apache Spark, Delta Lake, and Auto Loader. * Optimize large-scale data processing jobs for performance and cost.

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Experience with big data technologies (Spark, Hadoop, Databricks - optional but preferred). * Familiarity with CI/CD, DevOps practices, and version control tools. Responsibilities: * Design, develop ...

Socket.dev

Distinguished AI Software Engineer

Dayton, OH · On-site

$180 - $240/hr

The Distinguished Engineer will act as the connective tissue between software execution teams ... Databricks). * Shape data architectures that balance throughput, latency, and cost across ...

Essilor

Data & ML Engineer

Mason, OH

$107K - $129K/yr

Candidates must have authorization to work in the United States PREFERRED QUALIFICATIONS Master's degree in Computer Science, Engineering, or related discipline Experience with Azure Databricks ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

Candidates must have authorization to work in the United States PREFERRED QUALIFICATIONS Master's degree in Computer Science, Engineering, or related discipline Experience with Azure Databricks ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

Candidates must have authorization to work in the United States PREFERRED QUALIFICATIONS Master's degree in Computer Science, Engineering, or related discipline Experience with Azure Databricks ...

Deloitte

Lead AI and Data Science Engineer II

Dayton, OH · On-site

$99K - $131K/yr

... Databricks environments * Experience developing artificial intelligence (AI) or generative ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Dayton, OH

Databricks Engineer information

See Dayton, OH salary details

$57.8K

$108.5K

$197.3K

How much do databricks engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for databricks engineer in Dayton, OH is $108,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $128,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
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Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Dayton, OH as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $108,502 per year, or $52.2 per hour.

Data Engineer

LDSS Corp

Dayton, OH • On-site

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Description
Company Overview
Established in 2006, LDSS is a Woman-Owned Small Business (WOSB) based in Dayton, Ohio, with 20 years of proven success delivering high-impact solutions and services to federal agencies. LDSS is unwavering in its commitment to quality, collaboration, and delivering measurable outcomes that foster long-term success. Our thriving culture is powered by our A.C.T.I.V.E. core values:
  • Attitude – Optimistic, hopeful, and forward-thinking
  • Compassionate Teamwork – Respectful collaboration through self-awareness and mutual understanding
  • Integrity – Acting ethically and transparently while honoring commitments 
  • Versatility – Adaptive and anticipatory problem-solving
  • Excellence – Dedicated to raising the bar of quality and performance
Summary
This is currently a remote position with participation twice year at an in-person workshop customer. 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 chain logistics and prior Department of Defense experience. This position supports the Air Force’s Maintenance, Repair, and Overhaul (MRO) program to streamline depot-level operations across the Air Force Sustainment Center. If you're passionate about data-driven transformation and ready to support mission-critical operations, we'd love to hear from you. 

Key Responsibilities
  • Build and optimize ETL data pipelines using Databricks and Apache Spark
  • Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources
  • Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion
  • Use APIs for seamless data exchange and automation across systems
  • Manage SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API[CM2]
  • Leverage Microsoft 365 tools for documentation and collaboration
  • Develop and maintain Amazon Web Services (AWS) including S3
  • Fully utilize the Microsoft 365 environment for cross-functional data sharing and productivity
  • Use Jira to track and manage issues, tasks, and project workflows
  • Collaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas
  • Leverage SME collaboration to interpret business rules and build business logic into data extracts and transformation processes
  • Build and maintain strong working relationships with SME’s, helping to identify requirements for data transformations based upon iterative product feedback


Skills, Knowledge and Expertise
Education:
  • Bachelor’s degree in computer science, engineering, or a related field
Technical skills, hands-on experience and proficiency with:
  • Databricks, Apache Spark, and cloud-based data engineering and modeling (2-3 years preferred)
  • SQL for querying and managing relational data (4 years preferred)
  • AWS cloud services, including S3 (3 years preferred)
  • Python for data analysis, cleansing, and visualization (4 years preferred)
  • SharePoint lists, document libraries, and Microsoft Graph
  • Microsoft 365 apps and integration workflows
  • Developing and consuming APIs for data exchange between different systems
  • Jira or other agile workflow management systems for issue and project tracking
Relationship Management and Teamwork:
  • Proven ability to build trust and maintain strong partnerships with customers and stakeholders
  • Takes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise
  • Meticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables
  • Thrives in cross-functional environments, fostering open communication and teamwork across diverse groups
  • Rapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings
  • Ability to work collaboratively with a diverse team of contractors and government personnel
  • Ability to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations
  • Skilled in building strong customer relationships and engaging with Subject Matter Experts (SMEs) to derive business logic for data transformation methods and rules
Preferred Licenses/Certifications:
  • AWS Certified Solutions Architect 
  • Databricks Certified Data Engineer
  • U.S federal government security clearance 

Benefits
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Referral program
  • Tuition reimbursement
  • Vision insurance


LDSS logo

About LDSS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Dayton, OH, US

Year founded

2006

View All LDSS Jobs