Software Engineer II

Responsibilities

• Analyze requirements and design, develop, test, and maintain software applications and services.
• Build and enhance application components, RESTful APIs, microservices, batch and streaming data pipelines, and scalable cloud-native data solutions.
• Perform data ingestion, ETL/ELT, transformation, data quality management, metadata management, and canonical data modeling.
• Integrate enterprise applications and cloud platforms using APIs, event streaming, webhooks, messaging, and batch ingestion.
• Conduct unit and integration testing, code reviews, troubleshooting, debugging, production support, monitoring, and reliability improvements.
• Contribute to technical design, architecture, CI/CD automation, DevOps practices, reusable components, and developer productivity improvements.
• Collaborate with Product Managers, Architects, QA, and cross-functional stakeholders in an Agile environment.

Requirements

• At least 4 years of experience designing and developing cloud-native data engineering solutions and scalable data pipelines.
• Experience with Python, PySpark, Spark, Dataproc, SQL, or equivalent distributed data processing frameworks.
• Experience with Google Cloud Platform preferred, or AWS/Azure, including cloud-native data services such as BigQuery, Cloud Storage, Pub/Sub, Dataproc, Cloud Functions, and Cloud Run.
• Strong understanding of data ingestion, ETL/ELT, data transformation, data quality, metadata management, canonical data modeling, and SQL.
• Experience with REST APIs, event streaming, Apache Kafka or Google Pub/Sub, relational and NoSQL databases, and enterprise analytics platforms.
• Familiarity with CCaaS and customer interaction data, BigQuery data marts, semantic datasets, data virtualization, or Metrics as a Service platforms.
• Experience with Git, CI/CD, DevOps practices, analytical troubleshooting, and problem solving.
• Preferred qualifications include Java, customer interaction or journey analytics, Generative AI, LLMs, RAG, vector databases, semantic search, Apache Airflow, Cloud Composer, and modernizing or migrating enterprise data platforms.
• Employment eligibility to work in the United States is required.

Benefits

• Competitive base salaries and bonus incentives.
• 6% company match on the retirement savings plan and free financial coaching.
• Medical, dental, vision, life insurance, disability benefits, and financial and mental health support.
• Flexible working model with hybrid, onsite, or virtual arrangements depending on role and business need.
• More than 20 weeks of paid parental leave for all parents, including pregnancy, adoption, or surrogacy.
• Access to onsite wellness centers, confidential counseling through the Healthy Minds program, and career development and training opportunities.