Data Solution Engineer

FCCI Services Inc.; Sarasota (FL); Hybrid; USD 92,000 - 142,000; Full time

Benefits offered by this job

Paid Family Leave

Competitive PTO & Holidays

Recognition & Bonus Programs

Employee Referral Bonus

401(k) Match & Profit-Sharing

Job summary

FCCI Services Inc. is seeking a Data Solution Engineer to design, develop, test, and support enterprise data products and pipelines using Databricks and cloud-native tech.

You will collaborate with architects, product owners, and platform teams to deliver scalable lakehouse solutions and governance across analytics, reporting, and AI/ML workloads. You will be hands-on with data models, transformations, and platform integrations, contributing to quality, performance, and automation improvements

Qualifications

• Bachelor's Degree in Computer Science or related field; other experience substitutions allowed.
• 4+ years in data engineering, analytics, or cloud-based data solutions.
• 3+ years building data pipelines and transformations with Databricks, Spark, or similar.
• Strong Python, SQL, and data engineering best practices.
• Experience with cloud-native data services and distributed processing.
• Knowledge of data modeling, warehousing, governance, and quality concepts.
• Experience with Git, CI/CD, and Agile development.

Responsibilities

• Design, develop, test, deploy, and support data products and pipelines using Databricks and cloud-native tech.
• Build Bronze/Silver/Gold data assets within a lakehouse using Delta Lake, PySpark, Unity Catalog.
• Develop scalable data transformations for analytics, reporting, and AI/ML workloads.
• Implement data quality, monitoring, and observability for trusted data products.
• Maintain data models and reusable engineering components per standards.
• Collaborate with architects, product owners, and engineers to deliver solutions.
• Participate in code/design reviews, tests, and CI/CD to improve quality.
• Troubleshoot pipelines, platforms, and performance; seek optimization opportunities.
• Support data governance, security, and access controls using Unity Catalog.
• Automate deployment, testing, monitoring, and operations processes.
• Document data solutions, designs, procedures, and standards for knowledge sharing.
• Continuously grow expertise in data engineering and cloud platforms.

Skills

Python

SQL

Databricks

Spark

Delta Lake

Unity Catalog

PySpark

CI/CD

Cloud-native

Agile

Education

Bachelor's Degree in Computer Science or related

Tools

Databricks

Git

CI/CD tooling

Job description

Sarasota Home Office
Sarasota, FL 342408424, USA

At FCCI, our people make the difference. Our teammates are committed to upholding FCCI’s long-standing traditions of building relationships, serving others and giving back to the community. Come join us and make a difference!

The selected Data Solution Engineer will be responsible for designing, developing, testing, and supporting enterprise data products, data pipelines, and analytics solutions utilizing Databricks and cloud-native technologies. Working within an Agile delivery team, this role will build scalable, reliable, and governed data solutions that enable reporting, analytics, operational workloads, and AI/ML use cases across the organization.

The Data Solution Engineer will collaborate closely with architects, product owners, data engineers, and platform teams to implement modern data engineering solutions and reusable components that align with established architectural standards and engineering best practices. This role is expected to be hands-on in the development of data pipelines, data transformations, data models, and platform integrations while contributing to continuous improvements in quality, performance, and automation.

The successful candidate will demonstrate strong technical proficiency in Databricks, data engineering, and cloud-native development while continuing to expand their expertise in modern lakehouse architecture, data governance, and software engineering practices.

Key Responsibilities:

• Design, develop, test, deploy, and support enterprise data products, data pipelines, and data integration solutions using Databricks and cloud-native technologies.
• Build and maintain Bronze, Silver, and Gold data assets within a lakehouse architecture utilizing Delta Lake, PySpark, Databricks Workflows, Unity Catalog, and serverless compute capabilities.
• Develop scalable and efficient data transformation, validation, and enrichment processes that support analytics, reporting, operational, and AI/ML workloads.
• Implement data quality, monitoring, and observability controls to ensure trusted and reliable data products.
• Develop and maintain data models, business logic, and reusable engineering components in accordance with established architectural standards and best practices.
• Collaborate with architects, product owners, and engineering teams to understand requirements and deliver high-quality technical solutions.
• Participate in code reviews, design reviews, testing activities, and CI/CD processes to improve software quality, reliability, and maintainability.
• Troubleshoot and resolve data pipeline, platform, and performance issues while identifying opportunities for optimization.
• Implement and support data governance, security, and access controls utilizing Unity Catalog and other platform-native capabilities.
• Contribute to the automation of deployment, testing, monitoring, and operational support processes.
• Document data solutions, technical designs, operational procedures, and engineering standards to improve knowledge sharing and maintainability.
• Continuously develop technical expertise in data engineering, cloud platforms, Databricks capabilities, and modern software engineering practices.

Position is based in either Sarasota, FL at our home office or in our Southwest Regional office in Richardson, TX and is eligible for our hybrid work schedule (3/2).

In exchange for your talents, FCCI offers competitive salaries and an excellent benefits package which includes:

• Paid Family Leave
• Competitive PTO & Holidays
• Recognition & Bonus Programs
• Employee Referral Bonus
• 401(k) Match & Profit-Sharing

The salary range for this position is $92,286-$142,123 annually. This salary range is an estimate and the actual salary will vary based on applicant’s education, experience, knowledge, skills, and abilities.

We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

Drug Free Workplace (*Pre-employment drug screen is conducted for all positions)

Qualifications

Experience

Required

* Bachelor's Degree in Computer Science or related, NOTE: Relevant, progressively responsible work experience may be substituted on a year for year basis for the required education/exams.

* Four or more years of experience developing and supporting data engineering, analytics, or cloud-based data solutions.

* Three or more years of hands-on experience building and maintaining data pipelines and data transformations using Databricks, Spark, or similar modern data platforms.

* Strong experience with Python, SQL, and data engineering best practices.

* Experience working with cloud-native data services, data storage, and distributed data processing technologies.

* Working knowledge of data modeling, data warehousing, data governance, and data quality concepts.

* Experience utilizing Git-based source control, CI/CD pipelines, and Agile development practices.

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

* Effective communication and collaboration skills with both technical and non-technical team members.

Preferred

* Hands-on experience with Databricks, Apache Spark, Delta Lake, Unity Catalog, and Databricks Workflows.

* Experience implementing medallion architecture and lakehouse design patterns.

* Experience supporting AI/ML, advanced analytics, or data science workloads.

* Experience with data quality, metadata management, and data governance frameworks.

* Experience with dbt, streaming technologies, CDC patterns, or event-driven architectures.

* MDM Platform Informatica, Lake Fusion, Verato and BI Reporting (Cognos, Power BI, Tableau, Qlik, Sigma) or similar working knowledge and certifications around are preferred

* Commercial Property & Casualty (P&C) insurance experience.

* Databricks, cloud platform, or data engineering certifications.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.