Onsite AI Engineer
Fort Myers, FL · On-site
Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other ... Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven ...
Onsite AI Engineer
Fort Myers, FL · On-site
Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other ... Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven ...
The Data Engineer will be responsible for developing scalable data platforms on Databricks that ... This role requires strong expertise in Databricks, PySpark, Python, and AI/ML technologies to build ...
New
The Data Engineer will be responsible for developing scalable data platforms on Databricks that ... This role requires strong expertise in Databricks, PySpark, Python, and AI/ML technologies to build ...
New
Python, SQL, Fast API, Databricks Lakehouse, vector stores. • DevOps & IaC: GitHub Actions Terraform or CloudFormation automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline ...
Python, SQL, Fast API, Databricks Lakehouse, vector stores. • DevOps & IaC: GitHub Actions Terraform or CloudFormation automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline ...
Site AI Engineer - Fort Myers, FL
Fort Myers, FL · On-site
$90 - $120/hr
Python, SQL, Fast API, Databricks Lakehouse, vector stores. * DevOps & IaC: GitHub Actions Terraform or CloudFormation automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
New
Site AI Engineer - Fort Myers, FL
Fort Myers, FL · On-site
$90 - $120/hr
Python, SQL, Fast API, Databricks Lakehouse, vector stores. * DevOps & IaC: GitHub Actions Terraform or CloudFormation automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
New
IT Specialist (Data Ingestion & Transformation Engineer)
Fort Myers, FL · On-site
$106K/yr
Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion ... Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and ...
IT Specialist (Data Ingestion & Transformation Engineer)
Fort Myers, FL · On-site
$106K/yr
Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion ... Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and ...
IT Specialist (Data Ingestion & Transformation Engineer)
Fort Myers, FL · On-site
$106K/yr
Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion ... Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and ...
IT Specialist (Data Ingestion & Transformation Engineer)
Fort Myers, FL · On-site
$106K/yr
Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion ... Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and ...
Senior Back-End Developer
$112K - $146K/yr
Databricks experience preferred * Bachelor's degree or a combination of relevant experience and ... Strong proficiency in one or more backend programming languages, including Python or TypeScript.
Senior Back-End Developer
$112K - $146K/yr
Databricks experience preferred * Bachelor's degree or a combination of relevant experience and ... Strong proficiency in one or more backend programming languages, including Python or TypeScript.
Data Scientist III - FCRM
Port Charlotte, FL · On-site
$96K - $155K/yr
Strong SQL, Python, Databricks, Oracle, Azure, and cloud data platform experience. * Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and ...
New
Data Scientist III - FCRM
Port Charlotte, FL · On-site
$96K - $155K/yr
Strong SQL, Python, Databricks, Oracle, Azure, and cloud data platform experience. * Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and ...
New
Databricks Engineer information
See Punta Gorda, FL salary details
$53.9K - $65.7K
14% of jobs
$72.8K is the 25th percentile. Wages below this are outliers.
$65.7K - $77.5K
19% of jobs
$77.5K - $89.4K
12% of jobs
The median wage is $93.4K / yr.
$89.4K - $101.2K
17% of jobs
$101.2K - $113K
12% of jobs
$115K is the 75th percentile. Wages above this are outliers.
$113K - $124.8K
14% of jobs
$124.8K - $136.6K
7% of jobs
$136.6K - $148.4K
3% of jobs
$148.4K - $160.3K
0% of jobs
$160.3K - $172.1K
1% of jobs
$172.1K - $183.9K
2% of jobs
$53.9K
$101.1K
$183.9K
How much do databricks engineer jobs pay per year?
As of Aug 21, 2026, the average yearly pay for databricks engineer in Punta Gorda, FL is $101,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $120,000.00 per year, depending on experience, location, and employer.
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.
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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.
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 like AWS or Azure, making them valuable in data-driven organizations across various industries.
What cities near Punta Gorda, FL are hiring for Databricks Engineer jobs?
Cities near Punta Gorda, FL with the most Databricks Engineer job openings:
Job description
Job Summary:
1872 Consulting is seeking an Onsite AI Engineer to transform AI ideas into practical solutions in the construction industry. The role involves partnering with project leaders to improve workflows, deploy AI agents, and advance the company's vision of the "Construction Site of the Future."
Responsibilities:
• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the "Construction Site of the Future."
• Compliance and hand-offs: Ensure all AI solutions meet the company's data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.
Qualifications:
Required:
• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Strong proficiency in Python, SQL, and Databricks (Spark/Hadoop equivalents acceptable).
• Hands-on experience with Copilot Studio, Power Apps/Automate, API development and integration.
• Familiarity with CI/CD, GitHub Actions (or Azure DevOps), workflow automation.
• Solid understanding of ETL/ELT, REST/GraphQL APIs, and collaboration with Data Engineering teams.
Preferred:
• Experience in construction, manufacturing, or other process-heavy industries.
• Background in data engineering workflows (Airflow, ELT/ETL, etc).
• Advanced degree in a technical field.
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
1872 Consulting is seeking an Onsite AI Engineer to transform AI ideas into practical solutions in the construction industry. The role involves partnering with project leaders to improve workflows, deploy AI agents, and advance the company's vision of the "Construction Site of the Future."
Responsibilities:
• Workflow discovery and redesign: Lead Lean/Six Sigma workshops; map value streams; log high-impact AI agent opportunities that improve field efficiency.
• AI agent development: Build and deploy multiple production-ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG pipelines and LLMOps: Design and operate retrieval-augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift.
• Cross-cloud orchestration: Blend OpenAI, Azure OpenAI, and AWS Bedrock services through secure custom connectors to maximize flexibility and adoption.
• Data integration: Partner with Data Engineering to deliver ETL/ELT pipelines, API integrations, and event-driven connectors that feed RAG pipelines and AI agents.
• Change management and adoption: Train field teams, gather feedback, iterate quickly, and embed agents into SOPs. Track usage and ROI with adoption metrics and behavior-change KPIs.
• Stakeholder communication: Translate technical results into business value for leadership and clients. Contribute use cases and playbooks for the "Construction Site of the Future."
• Compliance and hand-offs: Ensure all AI solutions meet the company's data governance and security standards. Draft clear user stories and specs for escalation to central AI/Data Engineering teams when necessary.
Qualifications:
Required:
• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience building multiple AI agents in production environments.
• 2+ years of hands-on experience with LLMs, RAG pipelines, and LLMOps practices.
• Strong proficiency in Python, SQL, and Databricks (Spark/Hadoop equivalents acceptable).
• Hands-on experience with Copilot Studio, Power Apps/Automate, API development and integration.
• Familiarity with CI/CD, GitHub Actions (or Azure DevOps), workflow automation.
• Solid understanding of ETL/ELT, REST/GraphQL APIs, and collaboration with Data Engineering teams.
Preferred:
• Experience in construction, manufacturing, or other process-heavy industries.
• Background in data engineering workflows (Airflow, ELT/ETL, etc).
• Advanced degree in a technical field.
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
About 1872 Consulting
Sourced by ZipRecruiter
1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Chicago, IL, US
Year founded
2014