Data Engineer

Fairway Independent Mortgage Corporation

8d • Remote

About The Position

We are seeking a Data Engineer to architect and scale our next-generation big data ecosystem. In this role, you will leverage Databricks to design robust ETL pipelines, implement sophisticated data models, and integrate diverse streaming and API sources. As a technical leader, you will bridge the gap between complex engineering requirements and actionable business insights, ensuring our data infrastructure is both high-performing and compliant with global standards.

Requirements

• 6+ years of proven experience architecting and developing enterprise-scale data solutions.
• Extensive hands-on experience with the Azure Data Stack, including Synapse, Data Factory, Databricks, CosmosDB, and Azure SQL.
• Expert-level command of SQL and Python (required); additional proficiency in JavaScript, R, VBA, or web technologies (HTML/CSS/JSON) is highly valued.
• Demonstrated success in building and managing complex ETL/ELT pipelines within both Databricks and modern Business Intelligence environments (e.g., Power BI, Sisense, Tableau, or Domo).
• Deep experience leveraging API calls to ingest, synchronize, and automate data flow between disparate third-party and internal systems.
• Ability to bridge the gap between backend data engineering and front-end visualization, specifically optimizing Power BI for high-performance reporting.
• A track record of designing, testing, and scaling automated data systems that drive operational efficiency, measurable cost savings, and improved business outcomes.
• Experience working directly with business partners to translate high-level goals into technical workflows that enhance decision-making.

Responsibilities

• Design and Orchestrate: Build and maintain high-performance, scalable ETL/ELT pipelines using Databricks to ensure seamless data flow.
• Systems Integration: Architect robust integrations across a diverse ecosystem, including internal/external APIs, relational databases, and real-time streaming sources.
• Data Refinement: Implement sophisticated transformation logic, data enrichment, and cleansing protocols to deliver "analytics-ready" datasets for downstream visualization.
• Optimization & Modeling: Develop high-efficiency data models and schemas, applying advanced indexing and partitioning techniques to maximize query performance and scalability.
• Ecosystem Management: Oversee and optimize cloud-based infrastructure, leveraging containerization and distributed computing to process massive datasets.
• Advanced Analytics Support: Utilize big data frameworks to empower Machine Learning (ML) initiatives and collaborate with Data Science teams to deploy predictive models and statistical algorithms.
• Automated Deployment: Design and implement "Zero-Touch" automation for CI/CD, encompassing build, test, and release processes to ensure rapid, reliable deployment.
• Integrity & Compliance: Execute rigorous data governance, lineage tracking, and access controls to ensure total compliance with global privacy regulations and internal quality standards.
• Documentation: Maintain comprehensive technical documentation for system configurations, data mapping, and architectural processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed