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Full Stack Azure Data Engineer

System One
Vienna, VA
  • Expired: over a month ago. Applications are no longer accepted.
Job Description
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 Contract


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.

For immediate consideration, please apply directly or contact Ryan Pustilnik at 301.740.2110

System One

Address

Vienna, VA
USA

Industry

Technology

View all jobs at System One