Job Description

Now hiring a Data Engineer. As a Data Engineer you will spend your days finding ways to unlock value from large sets of data in an Azure environment in support of executive decision making and daily operations. You’ll do so as part of a complete product team including user experience designers, business analysts, and software engineers/developers. You’ll do so in a modern data science tech stack of open source tools and cloud services. This is a remote position.

Profile of Success

• Support and develop data flows by developing processes that verify, standardize, and scale data input, transformation and storage.

• Expert knowledge in Data Migration, Data transfer and SQL query script writing.

• Self-starter and quick learner that is capable of finishing Data interface projects with minimal supervision.

• Collaborate with Data Analysts, Visualization Experts, and Customer-facing advisors to support and develop our data and analytics reporting offerings.

• Research and implement cutting edge solutions to solve challenges related to ETL/ELT, data processing, and analytics.

• Support efforts by the Data Science and Data Analytics teams.

• Discover non-functional requirements, risks and enterprise strategy deviations while working with project teams.

• Identify appropriate data sources for application use.

• Profile and analyze data

• Create or validate system context diagrams, logical data models, and integration designs.

• Generate data flow diagrams (DFD)

• Create or validate data mappings

• Ensure new data sources, mappings, and models are correctly captured in enterprise repositories.

• Conduct technical reviews to ensure the application data models and flows have been correctly implemented.

• Participate in Integration/System testing

• Automate the external data interfaces and the Power Automate flows to replace manual steps

Desirable Skills

• Experience with modern data structure design and data engineering

• Experience with Azure Data Factory, COSMOS, Azure SQL, Azure Synapse Platform and Data Lakes and Data Warehouse tools and technology

• A drive to learn and share knowledge about emerging data science tools and practices

• 7 years relevant experience

• Bachelor’s degree in Computer Science or similar

• Ability to obtain a USCIS Public Trust Clearance

AIS, Dedicated to Our People

• AIS employees can spend their entire career at AIS doing challenging, rewarding work and reach their desired level of achievement and responsibility. We offer the opportunity to move up, without the obligation to move out of a position where one excels.

• It’s our dedication to the community that has committed us to become a 100% employee-owned company.

• We hire outstanding individuals who are committed to curiosity, passionate about emerging technology, and who are excited to find innovative solutions for the biggest tech challenges facing international brands and government agencies today.

We Invest in Individuals Committed to Innovation

AIS is seeking professionals of a certain character and level of excellence. People that we can learn from and that we can help grow to achieve their personal career goals.

• Smart people with a passion for technology

• Strong technical capabilities with a consultancy mindset

• Close involvement with local technical communities

• A willingness to think outside of the box to provide innovative solutions to clients

• Ability to solve challenging technical business problems

• Self-directed professionals

Our Core Values

• Client Success

• Continued Learning and Technical Excellence

• Strong Client Relationships

• Citizenship and Community

AIS is an Equal Opportunity Employer

Applied Information Sciences is an Equal Opportunity Employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status or any other basis covered by law. Employment decisions are based solely on qualifications, merit, and business need.