Senior Data Engineer (Remote)

Location: Remote; hirify.global Corporate Offices (0900)

Company

hirify.global develops retail offerings and customer-facing products through collaboration across design, product, engineering, data science, and full-stack engineering.

What you will do

• Develop, automate, and maintain batch and streaming ETL pipelines with Apache Airflow, Apache Spark, Python, and Scala.
• Build and manage cloud-based data ecosystems on GCP, including BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, and VPC.
• Design and optimize SQL and NoSQL data models for data lakes and warehouses using BigQuery, MongoDB, and Snowflake.
• Implement real-time ingestion with Kafka Connect and process streaming data with Spark Streaming, Apache Flink, or similar technologies.
• Lead technical initiatives, establish engineering standards, and collaborate with product managers, data scientists, designers, and full-stack engineers.
• Improve data performance, scalability, cost efficiency, observability, and reliability across the data platform.

Requirements

• 4+ years of software development experience.
• Strong understanding of application design patterns, event-driven architecture, databases, schemas, and testing strategies.
• In-depth experience with continuous integration, continuous deployment, and test-driven development.
• Experience with large-scale application troubleshooting and performance tuning.
• Exposure to a major cloud platform such as GCP, AWS, or Azure.
• Bachelor's degree or equivalent in MIS, Computer Science, or a related field is preferred.

Nice to have

• Experience with Extreme Programming practices.
• Experience applying data mesh and data-as-a-product principles.
• Experience integrating OpenAI, Gemini, or Anthropic LLMs into data quality and analytics workflows.

Culture & Benefits

• Remote full-time work arrangement.
• Collaboration with cross-functional product engineering teams.
• Use of user-centric development, experimentation, critical thinking, and industry best practices.
• Work in a fast-paced environment with regular team discussions, ceremonies, and feedback.
• Compliance with data protection standards including GDPR, PCI DSS, SOX, and CCPA.