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Information Technology 🏢 Full Time ⭐️ Verified

Senior SQL Developer

Apex Data Systems
San Francisco
Estimated Salary
USD 140.000 – USD 185.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Lead the Data Revolution with Apex Data Systems

We are seeking a Senior SQL Developer to architect and maintain the database infrastructure that powers our enterprise solutions. In this high-impact role, you will be responsible for designing scalable database schemas, optimizing complex query performance, and ensuring the integrity of our data ecosystem.

If you are a technical expert who thrives on solving complex data challenges and enjoys working in a fast-paced, innovative environment, we want to hear from you.

Responsibilities

  • Design, develop, and optimize complex SQL queries, stored procedures, and triggers for high-volume transaction processing.
  • Collaborate with data scientists and software engineers to integrate data pipelines and ensure seamless data flow.
  • Monitor database performance and implement tuning strategies to improve speed, scalability, and reliability.
  • Document database architecture, data models, and technical specifications to support team knowledge sharing.
  • Conduct thorough code reviews and mentor junior developers on best practices for SQL coding and database design.
  • Ensure data security, compliance, and backup/recovery procedures are rigorously maintained.

Qualifications

  • Minimum of 5 years of professional experience as a SQL Developer, Database Administrator, or Data Engineer.
  • Expert proficiency in T-SQL (SQL Server) and PL/pgSQL (PostgreSQL) is required.
  • Strong understanding of database normalization, indexing strategies, and query optimization techniques.
  • Experience with ETL tools (e.g., Informatica, SSIS) and data warehousing concepts (Snowflake, Redshift).
  • Bachelor’s degree in Computer Science, Information Systems, or a related technical field.

Required Skills

SQL PostgreSQL T-SQL Data Modeling ETL Database Administration Stored Procedures Query Optimization

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