Azure Data Engineer

SourceAbility, Inc.; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

SourceAbility, Inc. is seeking an Azure Data Engineer to design and operationalize Azure-based data platforms for community banking clients. The role requires strong expertise in building ETL/ELT pipelines, ensuring data solutions are secure and compliant with banking standards.

Ideal candidates will have 4+ years of experience working in Azure environments, familiarity with Azure data services, and strong problem-solving skills. This position offers a chance to work in a dynamic SaaS environment focusing on banking solutions.

Qualifications

• Experience with financial services or regulated data environments is a strong plus.
• Strong problem-solving skills with a focus on performance optimization.
• Ability to work in client-facing environments.

Responsibilities

• Design and operationalize Azure-based data platforms.
• Develop scalable ETL/ELT pipelines for data transformation.
• Ensure solutions are secure and compliant with banking standards.
• Deploy resilient solutions using Azure-native capabilities.

Skills

Cloud-native data platforms in Azure

Building ETL/ELT pipelines

Azure Data Lake Storage (ADLS Gen2)

Data modeling techniques

Data governance frameworks

CI/CD and DevOps practices

Secured data architecture patterns

Education

4+ years of experience in Azure

6+ years of overall data engineering experience

Tools

Azure Data Factory

Azure Functions

Azure DevOps

GitHub Actions

Job description

Job Title: Azure Data Engineer

Our client is a SaaS company specializing in developing software to address both core banking and risk management solutions for regional banks in the US.

Key Responsibilities

• Design, build, and operationalize Azure‑based data platforms supporting the company’s suite of products for community banking clients
• Develop and maintain scalable ETL/ELT pipelines to ingest, transform, and curate data from core banking systems, third‑party vendors, and internal data sources
• Implement modern data architecture patterns (data lakehouse, medallion architecture, incremental processing, partitioning, and data lifecycle management) using Azure services
• Build and optimize data models and curated datasets to support analytics, reporting, and downstream applications
• Ensure solutions are secure, compliant, and aligned with banking data standards, working closely with client security and IT teams
• Deploy highly available and resilient solutions using Azure‑native capabilities, including multi‑environment (dev/test/prod) and infrastructure‑as‑code practices
• Contribute to and evolve reusable data platform patterns, templates, and accelerators to enable rapid deployment across multiple client environments
• Partner with internal and client stakeholders to translate business requirements into scalable data solutions
• Support data quality, observability, and monitoring frameworks to ensure reliability and trust in delivered data products
• Provide documentation, knowledge transfer, and technical guidance to client teams as part of implementation and onboarding

Position Requirements

• Strong experience designing and implementing cloud‑native data platforms in Azure, including data ingestion, transformation, and storage
• Hands‑on experience building ETL/ELT pipelines using tools such as Azure Data Factory pipelines, Azure Functions or other serverless compute, and SQL‑based or Spark‑based transformations
• Experience working with Azure data services, including:
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure SQL Database / Managed Instance
  • (Nice to have) Azure Databricks or Microsoft Fabric components
• Understanding of data modeling techniques (dimensional modeling, star schemas, curated vs raw layers)
• Experience implementing data governance, lineage, and quality frameworks (e.g., Purview or similar tools)
• Familiarity with secure data architecture patterns, including RBAC, private endpoints, and network isolation in Azure
• Experience with CI/CD and DevOps practices, including automated deployments using Azure DevOps, GitHub Actions, or similar
• Ability to work in client‑facing environments, balancing technical execution with communication and collaboration
• Strong problem‑solving skills with a focus on performance optimization, scalability, and maintainability

Education and Experience

• 4+ years of experience building data platforms in Azure cloud environments
• 6+ years of overall experience in data engineering, data warehousing, or related fields
• Experience working with financial services or regulated data environments is a strong plus (especially banking)

Azure Certifications (Preferred)

• DP‑203: Data Engineering on Microsoft Azure (updated from DP‑200/201)
• AZ‑400: DevOps Engineer Expert
• (Nice to have) Azure Solutions Architect Expert

SourceAbility, Inc. does not discriminate in the acceptance or referral of candidates on the basis of race, color, religion, sex, age, national origin, marital status, disability, or other protected characteristics.