Senior Software Development Engineer

Position Summary

We are seeking a highly skilled Senior Software Development Engineer/GCP Data Engineering resource to serve as the senior engineer for enterprise data platforms supporting AI‑driven insights, member communications. This role requires deep hands‑on expertise in Google Cloud Platform, with strong technical leadership, data architecture ownership, and cross‑team collaboration. As a Data Engineering Lead, you will lead complex data engineering initiatives across GCP, set engineering standards, and partner closely with architects, product owners, and business stakeholders to deliver scalable, secure, and high‑performance data solutions in a regulated healthcare environment.

• Act as the senior technical lead for Project Data Assets in GCP data platform, owning data engineering standards and complex implementation decisions across batch and streaming pipelines.
• Ensure data solutions comply with healthcare and regulatory standards (HIPAA, PCI‑DSS, GDPR), implementing secure access, encryption, and governance controls.
• Design scalable data pipelines using GCP services such as Big Query, Dataflow, Pub/Sub, Composer, supporting analytics, reporting, and AI/ML workloads.
• Develop and maintain data pipelines for batch and real‑time data ingestion, transformation, and delivery using Python, Spark, and GCP‑native technologies.
• Optimize performance, scalability and reliability of large‑scale data pipelines, implementing monitoring, logging, and failure recovery mechanisms.
• Mentor onshore and offshore engineers, conduct design/code reviews, and enforce best practices in data engineering and Dev Ops.

• Hands‑on development using Big Query, Cloud Dataflow, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions to build scalable data pipelines.
• Build and manage batch and streaming pipelines using Python, PySpark, SQL, and Apache Beam for high‑volume data processing.
• Implement event‑driven architectures using Pub/Sub/Kafka and integrate with multiple systems (Cloud SQL, Firestore, Mongo
  
  DB, external APIs).
• Use enterprise‑configured CI/CD pipelines (Git Hub Actions, Jenkins, Cloud Build) and implement infrastructure as code using Terraform.
• Optimize SQL queries, partitioning strategies, and pipeline performance for large‑scale datasets and real‑time processing.
• Support AI/ML pipelines using Vertex AI, Big Query ML and advanced data orchestration tools for analytics use‑cases.

• 5+ years of professional software/data engineering experience with strong hands‑on experience in GCP.
• 3+ years of experience building and managing large‑scale data pipelines (batch + streaming).
• 3+ years of expertise in Python, SQL, Spark/PySpark, Big Query, Dataflow, Pub/Sub, Cloud Composer.
• 3+ years of experience with CI/CD, Dev Ops, and infrastructure as code (Terraform).
• 3+ years experience working in Agile/Scrum environments.
• 3+ years of data architecture, data modeling, and distributed systems experience.

• Experience in Healthcare, Insurance.
• Experience with Mongo
  
  DB Atlas.
• Experience working on large‑scale analytics or AI‑driven platforms.
• Familiarity with data governance tools and frameworks (Data Catalog, lineage, quality frameworks).
• Exposure to streaming technologies such as Kafka and Pub/Sub.
• Experience with visualization tools such as Looker, Tableau, or Power BI.
• Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience).

• Anticipated Weekly
  
  Hours:
  
  40
• Time Type:
  Full time
• Pay Range: $92,700.00 - $; base salary subject to factors such as experience, education, location; eligible for bonus, commission or short‑term incentive program.
• Benefits:
  Medical, dental, and vision coverage; paid time off; retirement savings options; wellness programs; other resources based on eligibility.
• Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.