Data Engineer
About The Position
The Data Engineer 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 in which the engineer will gradually take on more responsibility while gaining experience with real-world systems and data. Q2 seeks engineers who are eager to learn, enjoy working across the stack, and care about building reliable software where quality and correctness matter. The Risk & Fraud team helps Q2 customers proactively address fraud and manage business risks. It builds and enhances products that evolve with the fraud landscape and help customers better serve their own customers and communities.
Requirements
- A bachelor’s degree in Computer Science, Information Systems, or a similar field plus at least 2 years of related work experience, or an advanced degree.
- Working knowledge of data transformations, data orchestration and pipelines, and 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.
- Familiarity with data movement and pipeline tools: Apache Airflow, dbt, and Kafka.
- Familiarity with Snowflake.
- Familiarity with SQL Server, Postgres, and DynamoDB.
- Familiarity with Python, C#, Golang, Bash, and SQL.
- Familiarity with CI/CD tools and infrastructure-as-code deployment, including GitLab, Azure DevOps, Terraform, and Argo CD.
- Familiarity with Kubernetes and Docker.
- Familiarity with Pyspark, Snowpark, AWS Glue, Pandas, Databricks, and SageMaker.
- Fluent written and oral communication in English.
- Must be authorized to work for any employer in the U.S.; visa sponsorship or takeover of sponsorship is not available.
Responsibilities
- Design, implement, test, and operate cloud-native, data-driven services and applications across Q2’s Fraud Intelligence Platform.
- Work closely with experienced engineers on production-focused systems and data.
Benefits
- Health and wellness benefits, including competitive health insurance offerings.
- Generous paid parental leave for eligible new parents.
- Hybrid work opportunities.
- Flexible time off.
- Career development and mentoring programs.
- Community volunteering and company philanthropy programs.
- Employee peer recognition programs.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
