Sr. Data Engineer and API Developer

Role:

Sr.

Data Engineer & API Developer Location:

Nashville, TN (Onsite)

Position Overview:

We are seeking a highly skilled Senior Staff Data Engineer & API Developer to play a critical role in designing and delivering next-generation data and API solutions on the Google Cloud Platform (Google Cloud Platform). This individual will act as a key technical contributor, responsible for building scalable data systems, developing robust APIs, and enabling enterprise-wide data accessibility. This role requires a proactive professional who thrives in a fast-paced, collaborative environment. You will work closely with cross-functional teams-including data engineers, architects, scientists, and business stakeholders-to translate complex requirements into scalable, high-performance solutions. A strong sense of ownership, problem-solving ability, and adaptability to evolving technologies is essential.

Key Responsibilities:

Data Engineering & Platform Development Design, develop, and maintain scalable data pipelines and platforms supporting structured, semi-structured, and unstructured data. Build and optimize Google Cloud Platform-based data ecosystems for enterprise analytics and reporting. Implement automated workflows to reduce manual effort and improve operational efficiency. Ensure timely and reliable data delivery by defining and maintaining SLAs. Enable self-service data capabilities including dashboards, data catalogs, and exploratory tools. API Development & Integration Design and build high-performance APIs to accelerate data access and insights. Follow API design standards and best practices to ensure consistency, scalability, and security. Develop modular, reusable, and well-documented code. Leverage tools like Apigee and frameworks such as FastAPI for API lifecycle management. Cloud & Technology Implementation Develop and deploy solutions using Google Cloud Platform services such as Cloud Run, GKE, Cloud Functions, BigQuery, Bigtable, Cloud SQL, and Cloud Spanner. Implement CI/CD pipelines, logging, and monitoring using modern DevOps practices. Integrate AI/ML solutions using tools like Vertex AI and NLP where applicable. Collaboration & Leadership Work in a matrixed team environment, contributing to shared project goals. Mentor junior engineers and promote knowledge sharing within the team. Lead technical discussions, solution design sessions, and data architecture initiatives. Foster a culture of collaboration, innovation, and continuous improvement. Quality, Security & Best Practices Implement unit, integration, and performance testing strategies. Promote secure coding practices aligned with industry regulations and standards. Continuously improve data platform performance, scalability, and reliability. Advocate for Agile methodologies and participate actively in Agile ceremonies. Innovation & Continuous Learning Stay current with emerging cloud technologies and industry trends. Contribute to the broader data engineering community through knowledge sharing and thought leadership. Encourage experimentation and adoption of modern tools and practices.

Required Qualifications:

Experience 10+ years of overall IT experience 5+ years in Data Engineering 3+ years in API development Proven experience delivering solutions in fast-paced, cross-functional environments Technical Expertise < data-start=3698 data-end=3742> Google Cloud Platform & Cloud Technologies (2+ years) Cloud Run, GKE, Cloud Functions BigQuery, Bigtable, Cloud SQL, Cloud Spanner CI/CD pipelines, Cloud Logging Tools such as Postman, Dynatrace Exposure to Vertex AI and NLP < data-start=3935 data-end=3986> Development & Data Technologies (4+ years) API development and management (Apigee preferred) Python (FastAPI), Java, or Scala Streaming technologies (Kafka, Spark Streaming) Data formats: JSON, Avro, Parquet Strong SQL and data warehousing knowledge < data-start=4215 data-end=4241> Tools & Practices Git/GitHub for version control CI/CD automation tools Agile development methodologies