Data Engineer (Databricks)
Hybrid schedule out of Seffner, FL office – 3 days in, 2 days WFH
6 month Contract-To-Permanent (client will be converting this person to a permanent employee at 6 months)
Position Overview
We are seeking a Data Engineer with deep expertise in Databricks to design, develop, and optimize scalable data solutions. This role will focus heavily on Databricks technologies including Lakeflow Declarative Pipelines, Lakebase, Genie, and AI/BI Dashboards. The ideal candidate will have strong Python and SQL skills, hands-on experience building modern data pipelines, and a proven track record working within the Databricks ecosystem.
This role is ideal for a highly technical Data Engineer who is passionate about the Databricks ecosystem and enjoys building scalable, modern data solutions that drive business value.
Key Responsibilities
- Design, develop, and support data solutions within the Databricks platform
- Build and optimize Lakeflow Declarative Pipelines for data ingestion and transformation
- Work with Lakebase to support scalable, high-performance data architecture
- Leverage Databricks Genie to enhance data accessibility and business user interactions
- Develop and support AI/BI Dashboards to deliver actionable business insights
- Create, optimize, and maintain complex SQL queries and Python-based data workflows
- Collaborate with business stakeholders, analysts, and engineering teams to deliver data-driven solutions
- Ensure data quality, performance, scalability, and reliability across the data platform
Qualifications:
Required Qualifications
- Databricks Certification required (Data Engineer Advanced certification strongly preferred)
- Minimum 3 years of hands-on Databricks experience
- Strong proficiency with Python and SQL
- Experience building and maintaining enterprise-scale data pipelines
- Strong understanding of data modeling, ETL/ELT processes, and data engineering best practices
Preferred Qualifications
- Databricks Data Engineer Advanced Certification
- Experience working with modern cloud data platforms and data lake architectures
- Exposure to AI/ML-enabled analytics environments
- Experience supporting reporting, business intelligence, and self-service analytics initiatives
Key Skills
- Databricks
- Lakeflow Declarative Pipelines
- Lakebase
- Genie
- AI/BI Dashboards
- Python
- SQL
- Data Engineering
- ETL/ELT Development
- Data Modeling
- Analytics & Business Intelligence
Compensation
$110,000.00-$140,000.00 YearlyAbout Us
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