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Data Migration Engineer Job Opening In Austin – Now Hiring Q2


Job description

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

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.

Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.

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 “Circle of Awesomeness” 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.

The Job At-A-Glance:

Q2 is seeking a Data Migration Engineer that will join an existing data migration team that’s responsible for converting the client’s online banking data from their legacy system onto the Q2 platform.

Additionally, the team is responsible for handling user data involved in mergers and acquisitions.

The candidate will leverage proprietary Python/SQL framework to accomplish these activities.

The Analyst will follow the Q2 standard Data Migration Process to analyze incoming data sets, work with clients to determine requirements and customizations, and design/create the Python/SQL code to successfully convert the client’s data onto the Q2 Platform.

RESPONSIBILITIES: 

  • Develop and operate Python based tools, converting Online Banking data from flat files to relational databases based on specifications provided by Business Analysts.
  • Troubleshoot and resolve client’s data migration issues of a complex nature.
  • Thoroughly document and track production environment modifications.
  • Work individually and collaboratively to deliver solutions in live production systems
  • Establish relationships with other partner teams that impact technical support including Implementation Teams, Data Center Operations, QA, and Development.
  • Follow internal change control processes to implement any required production modifications.
  • Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.
  • Perform other duties and responsibilities as assigned.
  • Typically requires a Bachelor's degree and 5+ years of related experience
  • Excellent communication, analytical, and problem-solving skills required 
  • Previous data migration experience
  • Keen attention to detail while keeping an eye toward the big picture 
  • Availability to work occasional weekends or late night / early morning is required 
  • Enterprise/mid-sized software delivery experience preferred 
  • Understanding of remote tools and networking required 
  • Ability to deal with ambiguity, tight timelines and demanding constraints 
  • Ability to work on multiple assignments, prioritize, and resolve issues in a timely manner within a high-pressure environment 
  • Innate desire to find the root cause of technical issues, while balancing business needs to identify, support, and solve customer needs 
  • Knowledge of banking practices is helpful 
  • 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 – “You Earned it”

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

    Our Culture & Commitment:

    We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized.

    And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being.

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

    Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ().

    We believe in making an impact—in the industry and in the community.

    We are an Equal Opportunity Employer.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Migration Potential: Insight & Career Growth Guide


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    Are You Looking for Data Migration Engineer Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Q2 adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Data Migration Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Interview Tips for Data Migration Engineer Job Success

    Q2 interview tips for Data Migration Engineer

    Here are some tips to help you prepare for and ace your Data Migration Engineer job interview:

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