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Full Stack Azure Data Engineer

Employer
System One
Location
Vienna, VA
Closing date
Oct 8, 2022

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Full Stack Azure Data Engineer Location: Currently REMOTE, but MUST be able to work onsite in Vienna, VA or Pensacola, FL Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear ContractDescription: An ideal candidate should have solid Python programming knowledge combined with multiple years of software programming experience, can solve programming challenges efficiently and independently, and knows the ins-and-outs of creating reusable software solutions with Python. Please note that the candidate should also have experience working as a data analyst to gather/analyze requirements, model data with Azure Analysis Service, and visualize data with Power BI. Description: In Digital Labs, we develop innovative member and team member experiences that leverage the latest technologies in open source and the Cloud. Digital Information Management (DIM) is a team of engineers committed to championing a data-driven decision-making culture and meets the business demand for timely insight-focused analytics and information delivery. You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. You should be a strong analytical thinker, detail-oriented and love working with data with a strong background in data engineering and application development. Must be a hand-on technologist passionate about learning new technologies and help improve the ways we can better leverage Advanced Analytics and Machine Learning. Specific Duties: *Build end-to-end direct capabilities *Write scalable code with Python programming language *Build, test, and debug the software packages and pipelines required for optimal extraction, loading, and transformation (ELT) of data from a wide variety of data sources *Use analytics for capitalizing on the data for making decisions and achieving better outcomes for the business *Derive insights to differentiate member and team member experiences *Collaborate with cross-functional teams *Analyze and define with product teams the data migration and data integration strategies *Apply experience in analytics, data visualization and modeling to find solutions for a variety of business and technical problems *Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights *Integrate source systems with information management solutions and target systems for automated migration processes *Create proof-of-concepts to demonstrate viability of solutions under consideration Specific Qualifications: *Bachelor's degree in computer science, information systems, or other technology-related field or equivalent number of years of experience *3+ years of strong experience designing and building reusable, scalable software solutions/components in data engineering field with Python language *Expert knowledge in SQL *Solid foundation in data structures, algorithms, design patterns and strong analytical and problem-solving skills. *Design-thinking & excellent verbal and written communication skills *Effective experience working with all levels of staff, management, stakeholders, vendors *Experience eliciting and documenting requirements *Advanced skill building effective relationships through rapport, trust, diplomacy, and tact *The following are considered great to have: *2+ years of data engineering experience with Azure data services, including Azure Data Factory, Databricks, Azure Storage (ADLS Gen2), and Azure SQL; or their AWS/GCP equivalents *Experience in analytical and data visualization tools and techniques (Power BI preferred) *Experience in modeling and quantification concepts including statistics and probability principles *Experience with Azure Analysis Service data modeling in Visual Studio/SSDT (SQL Server Data Tools) *Working knowledge of banking/financial industry standards and practices Top 3 Skills: *Python programming (common algorithms, design patterns, TDD, etc.) *Apache Spark/Databricks data engineering *Azure Data Factory For immediate consideration, please apply directly or contact Ryan Pustilnik at 301.740.2110

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