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Big Data Engineer

Q2 is a financial experience company dedicated to providing digital banking and lending solutions to banks, credit unions, alternative finance, and fintech companies in the U.S. and internationally. With comprehensive end-to-end solution sets, Q2 enables its partners to provide cohesive, secure, data-driven experiences to every account holder – from consumer to small business and corporate.

Full-Time

Senior Level

Remote

$87.000 - $120.000

27 Sep → 27 Oct

Job Description

An early pioneer in Banking as a Service, Q2 is the platform behind some of the biggest names in fintech banking today. Over the years, we’ve worked with amazing clients like Square, Credit Karma, Betterment, Acorns, and many others to launch next-generation financial services that are redefining banking for millions of everyday Americans nationwide. As we scale our platform into the tens of millions of users, we’re looking to bring on a Big Data Engineer to help build out our data warehouse and to create a self-service data ecosystem of the future.

The ideal candidate for this role is very comfortable with Advanced SQL, the Microsoft SQL/Azure suite of products including SQL Server, SSAS (SQL Server Analysis Services), SSRS (SQL Server Reporting Services), and Azure SQL Data Warehouse (Synapse Analytics), and has experience building and maintaining OLAP cubes, data warehouses and highly complex reports. Additionally, substantial knowledge of PowerBI or a similar front-end tool is required to create interactive dashboards/reports. If you’re data-focused, scrappy, driven, and a great problem solver – you’d feel right at home on our team.

At Q2, our goal is to be a diverse and inclusive workforce that fosters mutual respect for our employees and the communities we serve. Q2 is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Responsibilities

  • Design, implement, integrate, and test data warehouse/reporting solutions
  • Work individually and collaboratively to deliver solutions in live production systems
  • Support, maintain, and resolve problems in live production systems, with occasional on-call availability
  • Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to
  • Assist and mentor teammates to provide technical leadership and evangelize best practices

Requirements/
Qualifications

  • Bachelor’s degree in (relevant degree) and a minimum of 12 years of related experience; or an advanced degree with 8+ years of experience; or equivalent related work experience
  • 8+ years of experience with SQL Server, SSAS and SSRS
  • 3+ years of experience with PowerBI or similar tooling
  • Strong, expert-level knowledge in advanced SQL
  • Deep understanding of data warehouse structures (OLTP vs OLAP, Fact vs Dimension, etc.)
  • Excellent organizational and communication skills
  • Experience working with Azure Synapse Analytics is a plus
  • Proficiency in C# is a plus
  • Highly determined and driven to achieve results with a clear track record of doing so
  • Quick to find the best path to a goal by collaborating with others
  • An intuitive problem solver
  • Curious for new technologies
  • Detail oriented with an eye for data analysis
  • An effective communicator
  • A pragmatic optimist that brings positive energy to everyone they work with

How To Apply

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