As passionate about our people as we are about our mission.

What We\xe2\x80\x99re All About:
Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients. At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our \xe2\x80\x9cCircle of Awesomeness\xe2\x80\x9d award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.


Q2 is seeking a talented and experienced Engineering Manager to lead our Data Engineering team. The Engineering Manager, Data will play a crucial role in designing, developing, and maintaining scalable data solutions that enable our company to extract insights, make data-driven decisions, and deliver exceptional value to our customers. The ideal candidate will have a strong background in data engineering, leadership experience, and a passion for driving technical excellence.

Responsibilities

Leadership

• Provide leadership, guidance, and mentorship to a team of data engineers.
• Foster a collaborative and inclusive team culture that encourages innovation, learning, and growth.
• Set clear goals, expectations, and priorities for the team, and ensure alignment with company objectives.
• Conduct regular performance reviews, provide constructive feedback, and support career development opportunities for team members.

Technical Strategy

• Collaborate with cross-functional teams to define data engineering requirements and priorities.
• Develop and execute a strategic roadmap for data engineering initiatives, aligning with business objectives and technological advancements.
• Stay abreast of emerging technologies, industry trends, and best practices in data engineering, and evaluate their potential impact on our business.

Architecture and Design

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions.
• Ensure adherence to data governance, security, and compliance standards throughout the development lifecycle.
• Lead the implementation of data engineering solutions, leveraging modern technologies and tools such as cloud platforms, big data frameworks, and containerization.

Collaboration

• Collaborate closely with product managers, business stakeholders, and other engineering teams to define requirements, prioritize initiatives, and deliver high-quality solutions.
• Communicate project status, risks, and dependencies effectively to stakeholders, and proactively identify and mitigate potential obstacles.

Experience and Knowledge

• Typically requires a Bachelor\xe2\x80\x99s degree in (relevant degree) and a minimum of 6 years of related experience; or an advanced degree with 4+ years of experience.
• Typically requires 1-2 years managing and developing employees
• Proven experience of 12 years in a data engineering role, with a strong track record of designing and implementing complex data solutions.
• Proficiency in programming languages such as Python, Java, or Go as well as experience with SQL and data modelling.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and proficiency in related services (e.g., S3, EMR, BigQuery).
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively.
• Experience with several of the technologies we currently use:
  • Cloud Providers: AWS, Azure
  • Data Pipelines: Apache Airflow, dbt
  • Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
  • Databases: Snowflake, SqlServer, Postgresql
  • Containerization: Kubernetes, Docker
  • Languages: Python, C#, Golang, Bash, SQL
  • CI/CD: GitLab, Azure DevOps
  • SCM: Git, Github, GitLab

NA

This position requires fluent written and oral communication in English.

Health & Wellness

• 
  Hybrid Work Opportunities
• 
  Flexible Time Off
• 
  Career Development & Mentoring Programs
• 
  Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
• 
  Community Volunteering & Company Philanthropy Programs
• 
  Employee Peer Recognition Programs \xe2\x80\x93 \xe2\x80\x9cYou Earned it\xe2\x80\x9d

Click
here to find out more about the benefits we offer.

How We Give Back to the Community:

You can learn more about our Q2 Spark Program, Q2 Philanthropy fund, and our employee volunteering programs on our
Q2 Community page . Q2 supports dozens of wide-reaching organizations, such as the
African American Leadership Institute , and
The Trevor Project , promoting diversity and success in leadership and technology. Other deserving beneficiaries include
Resource Center helping LGBTQ communities,
JDRF , and
Homes for our Troops , a group helping veterans rebuild their lives with specially adapted homes.

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.