Skills
What our BigQuery developers know
We put forward developers with production BigQuery experience, and you interview them before they join your team.
- BigQuery SQL and data modeling
- Partitioning, clustering and cost control
- Scheduled queries and pipelines
- Loading from APIs, CRMs, ads and Sheets
- Data Studio and Retool reporting
- IAM and dataset permissions
Roles
Who you can hire
Data warehouse developer
Designs datasets and tables around the questions your team asks.
Pipeline developer
Builds scheduled loads into BigQuery, with checks on every run.
Reporting developer
Turns BigQuery data into Data Studio dashboards and Retool apps.
Engagement
Ways to work with us
Dedicated developer
A full-time developer on your project: 160 hours a month, your tools, your standups.
Part-time or hourly
Hours when you need them, for a defined backlog or ongoing improvements, with every billed hour tracked in Hubstaff.
A small team
Developers plus a lead who plans the work, reviews code and sends daily or weekly reports by email.
Hiring terms
Low risk to start, easy to change
2-week trial
Start with a two-week trial before you commit.
Free replacement
If a developer isn’t the right fit, we replace them at no cost.
No minimum term
No long-term contract and no minimum hours. Scale up, down or stop when you need to.
You own the code
The code and IP are yours, and we sign an NDA before we see your codebase.
Full-time Widle employees
Every developer is on our team in Ahmedabad. No freelancers, no subcontractors.
Start in 1–2 weeks
A developer usually joins your team within one to two weeks of your enquiry.
Junior to lead
Junior, mid-level and senior developers, or a lead who plans the work and reviews code.
Hours that fit yours
Our day runs 9:00 am–7:00 pm IST; for US teams we shift hours to overlap with yours.
How it works
Hire BigQuery developers in four steps
- 01
Enquiry
Share your requirements: stack, scope, time zone and how many developers you need.
- 02
Shortlist profiles
We share the profiles of suitable developers for you to shortlist.
- 03
Interview
Your team interviews the shortlisted candidates and picks who to work with.
- 04
Add to team
The developer joins your team and starts on your project, with reporting from day one.
Vetting
How we vet BigQuery developers
A few of the questions we ask, and what a good answer tells us. Use them in your own interview too.
- Q1
How would you cut the cost of a query that scans a whole table every hour?
Checks partitioning, clustering and query habits.
- Q2
How do you model data that arrives from five different tools?
Tests warehouse design.
- Q3
How do you catch a pipeline that loaded bad or missing data?
Looks for data-quality checks.
- Q4
When would you not use BigQuery?
Checks judgment about simpler options.
BigQuery at Widle
What we build with BigQuery
ETL & Data Pipelines
Get data out of every app, clean it and land it where your reports and AI can use it. Scheduled, logged and checked.
Learn more →Internal Tools & Admin Panels
Replace the spreadsheet everyone fights over with a dashboard or back office your team actually likes using, built to a fixed-scope estimate.
Learn more →Database Migration & Management
Move off MySQL, Airtable or Sheets to PostgreSQL or Supabase with every row checked, then keep it fast, backed up and documented.
Learn more →Hiring BigQuery developers: FAQs
Have you built on BigQuery in production?
Yes. Houst’s Retool apps search their property portfolio on BigQuery, and we built department reporting apps on BigQuery and Google Cloud for WALT. Read the Houst case study →
Do they work in our Google Cloud project?
Yes, with the access you grant. Datasets and pipelines stay in your project.
Can they also build the dashboards?
Yes. Most BigQuery work ends in Data Studio dashboards or Retool reporting apps.