SQL Developer - K12 Lift

SQL Developer (SQL Server Environment)

Troubleshoot and routinely update scalable data structures that help educators learn from their outcomes and from positive outliers.

Compensation: $65,000 – $105,000/year
Position Type: Full time
Location: Remote

K12 Lift, an education data consulting firm based in historic downtown Deland, is seeking a SQL Server Developer to join their growing team.

The SQL Server Developer will be responsible for meeting K12 Lift’s week-to-week data portfolio production requirements as well as expanding and optimizing K12 Lift’s existing data infrastructures to accommodate multiple states, support evolving education data visualizations, automate testing, and reduce visualization production timeframes.

This position requires someone whose natural instincts are to think ahead, organize compulsively, document rationales and processes, automate where possible, and write stored procedures that favor clarity and speed over elegance.

An ideal candidate will have a minimum of two years’ SQL Development experience. Familiarity with Tableau and R a plus. Good cheer a must.

How we’ll determine a “great fit” for this position:
Culture-fit first, ability and versatility second, experience and training third.

We're looking for someone who is

Coder at heart
Problem solver
Organized
Productive
Tenacious

Primary responsibilities include

Managing client data requests to ensure required extracts are provided to K12 Lift upon becoming available to clients
Running/monitoring/troubleshooting production jobs according to schedules driven by clients’ academic calendars (Requires: procedure writing, process adherence)
Writing test scripts to ensure clients are seeing accurate student-level data and aggregations
Optimizing table structures and stored procedures for speed and clarity as new clients and reporting requirements expand and complicate K12 Lift’s data universe (Requires: seeing patterns, striking balance between functionality and maintainability, SQL performance tuning/optimization)
Building or adapting data loaders to accommodate newly provided data extracts from new or existing clients
Loading data extracts as provided by clients