Senior Data Engineer

Cascade Financial Services•AZ, FL, CA, FL

5d•Remote

About The Position

Serve the American Dream Through Attainable Home Ownership. Developing in-depth understanding of data structures and information content. Selecting, Deploying, & Managing the systems and infrastructure required for a data processing pipeline in support of the project's requirements. Investigating, Creating, & Maintaining data flows, data content, data element definitions with a goal of enterprise Master data integration. Implementing & Cleansing Strong knowledge of Master Data, with technical implementation experience of data cleansing, de-duplication and management. Understanding Bring data management experience, including an understanding of concepts, practices, procedures and tools - providing strong analytical, innovative and creative problem-solving skills. Developing Demonstrated experience using AI-assisted development tools to create, optimize, debug, and validate production-ready SQL and Python scripts. Communicating Bring excellent interpersonal and communication skills (personal, written and presentation) and work cross-functionally with IT and non-IT staff. Determining Technical breath in data profiling from different sources and determine whether and how data can support business and data requirements of its intended use. Understanding Technical understanding of data models, data standards, and business glossary. Developing & maintaining common business definitions and metadata criteria for consistent metrics reporting across the enterprise. Designing the architecture for our new data & analytics platform to support analytics and data science / machine learning. Recommending & implementing patterns and best practices for data engineering. Ensuring quality processes are built into the design of the platform. Understanding the architectural difference between solution approaches and communicating the advantages/disadvantages of your recommendation to both technical and non-technical audiences. Developing complex SQL queries to obtain data from our source systems. Performing data validation and quality assurance to ensure data integrity and accuracy. Collaborating with IT and business partners to identify data sources and align data domains to authoritative sources of data. Enforcing Tactical enforcement of Data Governance policies and rules. Researching new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality.

Requirements

BS/BA in Computer Science, Business, Math or related field.
At least 5 years of experience in information technology.
At least 3 years of data architecture experience.
At least 3 years of experience programming in one of the following high-level programming languages: Java, c++ or c#.
At least 3 years of experience with Microsoft SQL, SSIS, SSRS, SSAS and related technologies.
Practical experience in participating in and running data management programs.
Experience with enterprise data management technologies including data warehouses, ETL tools, SQL, and master data management solutions.

Nice To Haves

Masters preferred.
Preferred experience with JavaJet2
Preferred experience with Microsoft Azure BI and Analytics Stack including Azure SQL and related -- technologies.

Responsibilities

Developing in-depth understanding of data structures and information content.
Selecting, Deploying, & Managing the systems and infrastructure required for a data processing pipeline in support of the project's requirements.
Investigating, Creating, & Maintaining data flows, data content, data element definitions with a goal of enterprise Master data integration.
Implementing & Cleansing Strong knowledge of Master Data, with technical implementation experience of data cleansing, de-duplication and management.
Understanding Bring data management experience, including an understanding of concepts, practices, procedures and tools - providing strong analytical, innovative and creative problem-solving skills.
Developing Demonstrated experience using AI-assisted development tools to create, optimize, debug, and validate production-ready SQL and Python scripts.
Communicating Bring excellent interpersonal and communication skills (personal, written and presentation) and work cross-functionally with IT and non-IT staff.
Determining Technical breath in data profiling from different sources and determine whether and how data can support business and data requirements of its intended use.
Understanding Technical understanding of data models, data standards, and business glossary.
Developing & maintaining common business definitions and metadata criteria for consistent metrics reporting across the enterprise.
Designing the architecture for our new data & analytics platform to support analytics and data science / machine learning.
Recommending & implementing patterns and best practices for data engineering.
Ensuring quality processes are built into the design of the platform.
Understanding the architectural difference between solution approaches and communicating the advantages/disadvantages of your recommendation to both technical and non-technical audiences.
Developing complex SQL queries to obtain data from our source systems.
Performing data validation and quality assurance to ensure data integrity and accuracy.
Collaborating with IT and business partners to identify data sources and align data domains to authoritative sources of data.
Enforcing Tactical enforcement of Data Governance policies and rules.
Researching new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality.