Data Engineer ; AWS, Python, GenAI

Genesis
10 is currently seeking a Data Engineer for a full‑time, direct‑hire opportunity with a Top‑Tier Financial Institution located in Plano, TX. The salary range for this position is $130,000‑$150,000 yearly.

You will partner with business, technology, and governance teams to enable scalable, secure, and compliant data platforms that power advanced analytics and AI. You will act as the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate data into transactional databases, data warehouses, data marts, or other data repositories. You will also coordinate with other IT teams to configure and implement security, monitoring, tooling, and related capabilities as they apply to assigned systems.

You will report to the AVP of Data Delivery and Data Governance.

• 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.
• 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 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.

• 8+ years’ experience developing data‑related solutions and software.
• 5+ years of experience working with relational databases and applying them in various applications, including within the Microsoft Azure platform.
• 2+ years of experience with multiple cloud technologies in the Microsoft Stack (Azure IaaS and PaaS) along with familiarity with alternative cloud technologies.
• 2+ years of experience designing and developing on‑premises and cloud‑based (Azure) infrastructure and platform components.
• 2+ 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, Git Hub, Azure Dev Ops, 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, Mule Soft, or equivalent software.
• Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or No
  
  SQL 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 Dev Ops software.
• Bachelor’s degree in Computer Science, Information Technology, or other relevant field.

$130,000 - $150,000 yearly.