Lead Data Engineer (SQL) - Remote & Flexible Hours

BairesDev; Peru (IL); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

100% remote work

Competitive compensation in USD

Hardware and software setup for home

Flexible hours

Paid parental leaves, vacations, and H

Multicultural environment

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Lead Data Engineer (SQL) to drive the design, optimization, and management of robust database systems powering our enterprise applications. You will guide a team of database developers and set high-performance data processing strategies.

Join a 100% remote role with flexible hours, competitive compensation in USD, and a multicultural, mentorship-focused environment where you can shape data architecture and optimize complex SQL workloads across global teams.

Qualifications

• 5+ years of experience in Database Development, Data Engineering, or a related field.

Responsibilities

• Mentor database developers and collaborate with key stakeholders to align technical solutions with business goals.
• Design and document high-performance relational data models and database schemas.
• Develop, test, and maintain complex database objects including stored procedures, functions, and triggers.
• Analyze query execution plans to diagnose performance bottlenecks and implement indexing and tuning strategies.
• Manage database transaction control, ensuring concurrency, data integrity, and proper isolation levels.

Skills

SQL Server

T-SQL

Database design

Query optimization

English proficiency

Job description

BairesDev is seeking a Lead Data Engineer (SQL) to drive the design, optimization, and management of robust database systems powering our enterprise applications. You will guide a team of database developers and set high-performance data processing strategies.

Join a 100% remote role with flexible hours, competitive compensation in USD, and a multicultural, mentorship-focused environment where you can shape data architecture and optimize complex SQL workloads across global teams.