Job Url: https://www.linkedin.com/jobs/view/4328102313/?eBP=NOT_ELIGIBLE_FOR_CHARGING&trk=flagship3_search_srp_jobs&refId=GJbcwU9yIom7xRjWl9ZVfQ%3D%3D&trackingId=AfDxr8DRuahcPhazNbyNNg%3D%3D

Job Description: 
Fynite Corp.


SQL & Database Performance Engineer (Data Analyst / Data Engineer)

United States · 47 minutes ago · 30 applicants

No response insights available yet


$70K/yr - $75K/yr

Remote

Full-time
No longer accepting applications

Use AI to assess how you fit
Get AI-powered advice on this job and more exclusive features with Premium. Try Premium for PKR0

Show match details

Help me stand out

See how you compare to 30 applicants

Access exclusive applicant insights, see jobs where you have the highest chance of hearing back, and more.

Try Premium for PKR0

About the job
Location: Remote

Type: Full-Time



We are looking for a highly skilled professional with strong expertise in SQL query building, database management, and query performance optimization. The ideal candidate will design, optimize, and maintain complex queries across large datasets, ensuring reliability, scalability, and high performance for business-critical workloads.



Key Responsibilities:

Design, write, and optimize complex SQL queries for analytics and operational use cases
Manage and maintain relational databases, ensuring data accuracy, integrity, and availability
Analyze query execution plans and improve performance through indexing, partitioning, and schema design
Support data pipelines by validating, transforming, and troubleshooting data flows
Collaborate with engineering and product teams to translate requirements into efficient data solutions
Develop and maintain robust database objects such as stored procedures, views, and functions to support analytical and operational workloads
Monitor and fine-tune the performance of complex queries to ensure maximum efficiency and scalability
Implement data governance and ensure data integrity in line with company policies


Required Skills:

Strong proficiency in SQL (advanced joins, CTEs, window functions, subqueries)
Solid experience with database management and performance tuning
Experience working with large datasets and high-volume query workloads
Knowledge of cloud-based databases (e.g., AWS RDS, Azure SQL, BigQuery, Redshift) is a plus
Familiarity with data pipeline technologies (ETL/ELT, Apache Airflow, AWS Glue)
Data warehousing experience (Snowflake, Redshift, etc.) is a plus
Proven ability to optimize complex SQL queries for performance and scalability
Ability to work with data integrations, ensuring seamless ETL processes and data flow across systems


Educational Requirements:

Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or a related field.


Experience Requirements:

3+ years of professional experience in SQL development, database performance optimization, and data engineering
Proven track record of working with high-volume data and complex databases
Experience with performance tuning and optimizing SQL queries for large-scale production systems
Hands-on experience in data integration and ETL pipeline development is desirable
Experience with cloud platforms and data warehousing solutions is a plus


Why Join Fynite

Build real AI agents that autonomously run enterprise workflows.
Work on a platform combining data, intelligence, and execution end-to-end.
High-impact role in a fast-scaling AI automation company.

Requirements added by the job poster

• Can start immediately

• Authorized to work in the United States

• No need for visa sponsorship