Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
About the role
- Senior Data Engineer designing and delivering modern data solutions using cloud-based platforms for Wealth Management. Collaborating with teams to enable scalable and secure data platforms.
Responsibilities
- Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams
- Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related software
- Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
- Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a various platforms to meet business requirements
- Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams
- Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered
- Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs
- Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth
Requirements
- 12+ years' experience developing data-related solutions and software
- 10+ years of experience working with relational databases and applying it in various applications, including within the Microsoft Azure platform
- For DevOps experience Delphix (now part of Perforce) provides a DevOps Data Platform and GenRocket for testing
- Experience with Microsoft Purview is a comprehensive portfolio of products spanning data governance, data security, and data compliance solutions.
- 4+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) designing and development on-premises and cloud-based (Azure) infrastructure and platform components
- 4+ years of hands-on development and deployment experience with Azure cloud using T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines
- Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software
- Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases
- Advanced knowledge of multiple programming languages, such as Python, SQL, Scala, or similar.
- Advanced knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, or DevOps software
Benefits
- 100% paid medical, dental and vision premiums for you and your qualifying dependents
- A 50% 401(k) match, up to the IRS maximum
- 20 days of PTO, plus 10 paid holidays
- Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
IT Data Engineering Co‑Op at BlueRock Therapeutics supports development of scientific data systems. Collaboration on data workflows and foundational AWS data engineering tasks.
Data Engineer I building and operationalizing complex data solutions for Travelers' analytics using Databricks. Collaborating within teams to educate end users and support data governance.