Senior Database Engineer II

Abbott

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$100,000–$200,000 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $150k
$88k most similar roles pay here $212k

This role pays less than 55% of similar roles. Most pay $126,800–$184,993 — the shaded band above. At the midpoint, this role pays about $150k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 90 open roles on FindRole.

Listed pay typically runs $99,300–$198,700 across 89 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Senior Database Engineer II

The Senior Database Engineer II joins the Infectious Disease business unit to build and maintain scalable data pipelines and integration processes using Azure Data Factory. This role involves designing conceptual, logical, and physical data models for cloud environments while leading the implementation of modern platforms including Databricks, Azure OneLake, Azure Synapse Analytics, and Snowflake. The engineer will manage multi-tenant database architectures, sharding strategies, and oversee System Integration Testing and User Integration Testing. Key technical requirements include proficiency in Python, T-SQL, RDBMS, NoSQL, and cloud-based ETL orchestration. The role focuses on solving complex data challenges within the medical device industry, ensuring high-performance scalability for diagnostic systems. Candidates must navigate regulatory requirements like HIPAA and SOX while collaborating with cross-functional teams to deliver reliable, cost-effective solutions in a dynamic healthcare technology environment.

What you'll do

  • Build and maintain scalable data pipelines and integration processes using Azure Data Factory.
  • Lead the design, selection, and implementation of modern data platforms like Databricks, Snowflake, and Azure Synapse.
  • Design and implement conceptual, logical, and physical data models for cloud-based environments.
  • Develop multi-tenant database architectures and sharding strategies to optimize performance and scalability.
  • Provide technical leadership for System Integration Testing (SIT) and User Integration Testing (UIT).
  • Establish data engineering standards, best practices, and governance processes across multiple teams.
  • Conduct code and design reviews to ensure quality, consistency, and adherence to corporate standards.
  • Troubleshoot and resolve complex data, integration, and system issues in dynamic environments.

What we're looking for

  • Experience in delivering products for the Medical Device industry.
  • 7+ years of experience in software development involving database design.
  • Bachelor of Science, Computer Engineering, Computer Science, or equivalent experience.
  • Experience with Azure SQL Database, Azure Synapse, MongoDB, and Databricks (preferred).
  • Master's degree in computer science or similar degree (preferred).
  • Developing using Python and T-SQL (preferred).
  • Experience with RDBMS, NoSQL, and crafting data pipelines across large scale systems (preferred).
  • Production delivery experience in Cloud based PaaS technologies and knowledge of cloud-based ETL offerings (preferred).

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