Senior Data Engineer
Signature Aviation
Orlando, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Orlando, United States of America
Tech stack
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Architectural Patterns
Automation of Tests
Azure
Google BigQuery
Cloud Computing
Code Review
Computer Programming
Data Validation
Information Engineering
Data Governance
ETL
Python
Meta-Data Management
Scrum
Software Engineering
SQL Databases
Delivery Pipeline
Snowflake
Build Management
Data Lineage
Data Management
Software Version Control
Data Pipelines
Databricks
Job description
- Design and build scalable batch and streaming data pipelines from enterprise source systems to the data platform
- Implement ingestion, transformation, and enrichment processes using approved architectural patterns
- Optimize pipelines for performance, reliability, and cost efficiency
- Develop reusable frameworks and components to accelerate pipeline development
- Implement data engineering solutions aligned with lakehouse / medallion architecture patterns (Bronze, Silver, Gold layers)
- Support integration of enterprise systems with the modern data platform
- Partner with platform engineering teams to improve pipeline performance and platform scalability
- Contribute to engineering patterns and reusable templates across the data platform
- Implement data validation, reconciliation, and monitoring processes
- Ensure data pipelines meet enterprise data quality, reliability, and observability standards
- Troubleshoot pipeline failures and support root cause analysis
- Help define and maintain SLAs for critical data pipelines and data products
- Write clean, well-tested, and maintainable code
- Implement engineering best practices including version control, CI/CD pipelines, automated testing, and infrastructure-as-code
- Conduct peer code reviews and maintain engineering standards
- Partner closely with Data Architects, Analytics Engineers, Data Scientists, Platform Engineering teams, and product & business stakeholders
- Translate business requirements into scalable technical solutions
- Provide technical guidance during sprint planning and backlog refinement
- Ensure delivery timelines are met and proactively manage risks or blockers
- Define and maintain standards for data pipeline documentation, data lineage and metadata, and operational procedures
- Ensure compliance with data governance, security, and enterprise architecture standards
- Contribute to engineering playbooks, standards, and knowledge sharing, * Proven experience building and maintaining production-grade data pipelines in modern data platforms
- Experience working in Agile delivery environments
- Experience supporting enterprise analytics or AI/ML data use cases
Requirements
- 5-8+ years of experience in data engineering, analytics engineering, or software engineering, * Strong SQL expertise and experience designing complex transformations
- Proficient programming skills in Python, Scala, or similar languages
- Experience with modern data platforms such as Databricks, Snowflake, or BigQuery
- Experience with ELT / ETL frameworks patterns, workflow orchestration tools, data quality and observability frameworks
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong understanding of lakehouse / medallion architectures
- Experience implementing large-scale data lakehouse platforms
- Experience supporting AI/ML workloads and feature pipelines
- Experience with data governance and metadata management tools
- Cloud or data platform certifications
