About this opportunity
Afl lists this Remote Senior Etl Developer opportunity in riverside, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $2B in revenue, and employ approximately 11,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer:
Flexible time off policy
401K Company match (up to 4% - dollar for dollar)
Professional development, training, and tuition reimbursement programs
Excellent medical, dental, vision, and life insurance policy options
Opportunities for career advancement with an industry leading company!
We are seeking an experienced Senior ETL Developer to design, build, and optimize scalable data integration solutions across the Microsoft Azure ecosystem. This role will focus heavily on Azure Data Factory (ADF), Azure Synapse Analytics, and Microsoft Fabric, with a critical emphasis on Master Data Management (MDM), particularly Reltio.
The ideal candidate has strong hands-on experience building enterprise-grade data pipelines, integrating complex data sources, and ensuring high data quality and governance across analytical and operational systems.
This position will be able to work remotely from anywhere in the United States but the ability to work East Coast hours is strongly preferred.
Key Responsibilities
Data Integration & ETL Development
Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Data Pipelines
Build scalable data ingestion frameworks for structured and semi-structured data (SQL, APIs, flat files, streaming sources)
Develop transformations using Synapse SQL, Spark (Synapse/Fabric), or Dataflows Gen2
Optimize pipeline performance, reliability, and cost efficiency
Azure Data Platform Engineering
Develop and manage solutions leveraging:
Azure Synapse Analytics (dedicated & serverless pools)
Microsoft Fabric (Lakehouse, Warehouse, Data Engineering experiences)
Azure Data Lake Storage Gen2
Implement medallion architecture (Bronze/Silver/Gold layers) where applicable
Collaborate with architects to design scalable data platform solutions
Master Data Management (MDM) – Reltio
Design and implement MDM integration workflows with Reltio
Build and maintain pipelines to ingest, synchronize, and publish master data
Work with business and data governance teams on:
Data quality rules
Matching and survivorship logic
Golden record management
Integrate Reltio with downstream analytics and operational systems
Data Quality & Governance
Implement data validation, cleansing, and lineage tracking
Ensure compliance with governance policies and standards
Support auditing, monitoring, and alerting for data pipelines
Collaboration & Delivery
Work closely with data architects, analysts, and business stakeholders
Participate in Agile delivery (Scrum/Kanban)
Mentor junior developers
Contribute to coding standards and best practices
On-Call Support
Participate in a rotating on-call support schedule for production data pipelines and platforms
On-call coverage begins as early as 5:30 AM and includes weekend support as needed
Each rotation lasts two weeks, approximately four times per year
Troubleshoot and resolve production issues, ensuring minimal disruption to business operations
Perform root cause analysis and implement long-term fixes for recurring issues
Required Qualifications
Experience
Bachelor’s degree or equivalent experience
5–8+ years of experience in ETL/data engineering
Technical Skills
Strong expertise in:
Azure Data Factory (ADF) – pipelines, triggers, integration runtimes
Azure Synapse Analytics – SQL, Spark, pipeline orchestration
Microsoft Fabric (preferred or emerging experience)
Solid experience with:
SQL (advanced query tuning and development)
Python and/or PySpark
REST APIs and data integration patterns
Hands-on experience with Reltio MDM including:
Data model configuration
Match & merge rules
Data onboarding and outbound integrations
Data Engineering Concepts
ETL/ELT design patterns
Data warehousing and dimensional modeling (Kimball, Data Vault familiarity a plus)
Data lake architectures
Performance tuning and scaling
Preferred Qualifications
Experience with:
Delta Lake / Lakehouse architecture
CI/CD for data pipelines (Azure DevOps, Git integration)
Infrastructure as Code (ARM, Bicep, Terraform)
Data governance tools (Purview or similar)
Certifications (nice to have):
Azure Data Engineer Associate
Fabric Analytics Engineer (emerging)
Worksite address
riverside, CA, 92516, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.