Data Engineer

Q2; Austin (TX); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Hybrid work

Flexible time off

Career mentoring

Health insurance & parental leave

Volunteer programs

“You Earned It” recognition

Job summary

Q2 in Austin, TX is seeking a software engineer for the Risk & Fraud team to design, implement, test, and operate cloud-native, data-driven services across the Fraud Intelligence Platform. You will work with engineers across the stack to deliver reliable software where accuracy matters.

You will contribute to data movement, pipelines, and storage, using Python, SQL, Airflow, Kafka, Snowflake, and Kubernetes, while growing in a collaborative, hybrid environment with strong mentorship.

Qualifications

• Bachelors in Computer Science, Information Systems or related field; 2+ years of related work experience, or an advanced degree.
• Experience with data transformations, orchestration, and pipelines.
• Proficiency in SQL and NoSQL databases, data warehouses, distributed storage and compute.
• Understanding of software engineering, distributed design and data-centric architectures.
• Experience with data tools: Airflow, dbt, Kafka; Snowflake for data warehousing.
• Proficient in Python, C#, Golang, Bash, SQL; familiarity with CI/CD and IaC.
• Containerization with Kubernetes and Docker; familiarity with cloud platforms.

Responsibilities

• Design, implement, test, and operate cloud-native, data-driven services on the Fraud Intelligence Platform.
• Collaborate with engineers to build reliable software where quality and correctness matter.
• Contribute to data movement, pipelines and data storage across systems.

Skills

Python

SQL

C#

Golang

Bash

Airflow

Kafka

Snowflake

Kubernetes

Docker

PySpark

SageMaker

GitLab

Terraform

Education

Bachelor’s degree in CS/IS

Advanced degree

Tools

GitLab

Azure DevOps

Terraform

Argo CD

dbt

Airflow

Kafka

Snowflake

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 through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company‑wide volunteer days to events like our Q2 Homecoming Week‑featuring learning, community service, and culture‑building experiences‑we create opportunities to connect, grow, and make an impact.

Our Team

The Risk & Fraud team at Q2 is responsible for helping our customers take a proactive stance against fraud and managing the risks of their business. We build and enhance products that evolve with the ever‑changing fraud landscape, delivering tangible value for our customers. Our solutions enable them to focus more of their time and energy on their mission: best serving their customers and communities.

The Role

In this role, you will work closely with experienced engineers to design, implement, test, and operate cloud‑native, data‑driven services and applications across Q2's Fraud Intelligence Platform. This is a production‑focused role where you will gradually take on more responsibility as you gain experience working with real‑world systems and data. We are looking for engineers who are eager to learn, enjoy working across the stack, and care about building reliable software in environments where quality and correctness matter.

Requirements

• A Bachelor's degree in Computer Science, Information Systems or similar plus a minimum of 2 years of related work experience; or an advanced degree
• Working knowledge of data transformations, data orchestration and pipelines, data replication
• Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage and compute platforms
• Good understanding of software engineering, distributed software design and data‑centric systems architecture
• Data Movement and Pipelines: Apache Airflow, dbt, Kafka
• Data Warehouse: Snowflake
• Databases: SQL Server, Postgres, DynamoDB
• Languages: Python, C#, Golang, Bash, SQL
• CI/CD tools and infrastructure as code deployment: GitLab, Azure DevOps, Terraform, Argo CD
• Containerization: Kubernetes, Docker
• Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker

This position requires fluent written and oral communication in English.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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 here 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 ( see more ). 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.

Applicants in California or Washington State may not be exempt from federal and state overtime requirements