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Databricks - dbt Data engineer

Remote • Posted 1 hour ago • Updated 1 hour ago

Contract W2

6 Months

No Travel Required

Remote

Depends on Experience

Datasignify

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Engineering

Summary

Databricks , dbt Data engineer
REMOTE

Top Skills'' Details

Databricks SME - 5+ Years of Databricks Experience - Hands-on technical lead responsible for solution architecture, delivery planning, estimations, work management, and mentoring, coordination with advanced-level data modeling and DBT skills, while actively leading and assisting with pipeline development, DBT model conversion, refactoring efforts, engineering standards, and technical delivery. Dimensional Modelling expertise.

Data Engineering Solutions - 10+ Years of Data Engineering Experience - Deep experience optimizing Gold-layer Delta tables and dimensional models specifically for high-performance Power BI consumption (e.g., minimizing complex downstream DAX through upstream transformations).

Financial Data - Familiarity with Oracle Fusion ERP data structures, BICC extraction patterns, or complex financial data domains.

Secondary Skills - Nice to Haves

dbt
dimensional models
delta tables
medallion
unity catalog
azure devops pipelines
git
dax

Job Description

As part of the Project Independence (PI) implementation, driven by the migration of the organization''s on-premises Oracle database platform to Oracle Fusion Cloud, the Data Engineering (DE), Business Intelligence (BI), and Quality Assurance (QA) teams are executing a strategic initiative to ingest Fusion data on 15 minute intervals, model the data and progress things through the medallion layers, adapt or rewrite existing tables/models, and migrate datasets, products and Power BI reports from legacy financial models to the new fusion models.

The differentiator is that the Lead owns technical implementation / influence architecture, dependencies, planning, estimation, execution team leadership, and data modeling, while the other three engineers are primarily focused on pipeline development, DBT model conversion/refactoring, and delivery execution and BI Semantic Model refactoring oversight

Additional Skills & Qualifications

All Data Engineers should have:

•Very Strong Databricks Lakehouse principals and experience

•Hands-on Unity Catalog experience

•Experience developing Spark Declarative Pipelines (Lakeflow/DLT , autoloader)

•Strong pipeline development capabilities

•Deep Experience with DBT model development, conversion, and refactoring

•Exposure to Power BI and analytics consumption patterns

•Working knowledge of Azure DevOps CI/CD pipelines

•Familiarity with metadata-driven frameworks

•Exposure to code generation and agentic engineering patterns

•Strong SQL and PySpark development skills

Required Non-Technical Skills

Collaboration

•Ability to work closely with BI and QA teams

•Strong partnership mindset

•Ability to participate in technical design discussions

•Effective stakeholder engagement

•Routinely partners with QA to define testing criteria for data accuracy and proactively updates Project Management on technical blockers, delivery timelines, and sprint progress without requiring micromanagement.

Communication

•Excellent verbal communication skills

•Strong written communication skills

•Ability to explain technical concepts clearly

•Ability to communicate blockers and dependencies effectively

Ownership

•Strong accountability

•Ability to work independently

•Takes ownership of assigned deliverables

•Drives issues to closure

Risk Management

•Raises alarms early when risks are identified

•Escalates blockers appropriately

•Proactively identifies project dependencies

•Communicates schedule or quality risks effectively

Problem Solving

•Strong analytical skills

•Root cause analysis capabilities

•Ability to investigate data discrepancies

•Solution-oriented mindset

Critical Hiring Requirement

These roles are intended to accelerate delivery immediately and are not entry-level or development positions. Candidates must have proven, hands-on experience with Databricks, Unity Catalog, Spark Declarative Pipelines (Lakeflow/DLT), DBT development and refactoring

Employee Value Proposition (EVP)

Leading a data migration for a high priority, highly visible, Enterprise Oracle Fusion implementation. Leading a team of data engineers. Possibility for extension beyond the end of the year.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: PTPz87yWzcOwE6H
Position Id: 9046118
Posted 1 hour ago

Company Info

About Datasignify

We help organizations transform vast amounts of data into actionable insights, strategic decisions, and measurable growth—through expert analytics and innovative data solutions. As a specialized consultancy, we deliver high-impact outcomes with authenticity and rigor. Why Teams Choose DataSignify:

Empowering Results – Our data analytics services help organizations turn vast amounts of data into actionable insights that drive success and growth. Datasignify

Collaborative Approach – We foster a supportive work environment that prioritizes collaboration and continuous learning. Datasignify

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Proven Success – Trusted by markting agencies and professionals seeking to upskill in the digital world. Datasignify Our Services Include:

Data Analytics & Consulting – Expert services that transform data into insights Datasignify

Online Education & Training – Comprehensive courses in data analytics, management, and science designed for busy professionals Datasignify

Staff Augmentation – Skilled professionals to enhance your team capabilities

Data Visualization – Creation of visually appealing and easy-to-understand formats that communicate information effectively Datasignify

IT Consulting – Specialized expertise in technology implementation and optimization Datasignify What Sets Us Apart: Strong emphasis on authenticity and rigor in all our work Datasignify Diverse team of experts focused on delivering innovative data solutions Datasignify Hands-on training with real-world projects that lead to tangible career outcomes Datasignify Proven track record of exceeding client expectations in marketing and other sectors Datasignify

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