Our pandas job runs out of memory. Can that be fixed without new infrastructure?

Usually yes. Most memory problems come from default dtypes, unnecessary copies, and loading whole files when chunks would do. We typically fix these in place first — moving to Spark or a warehouse is a last resort, not a first suggestion.

Can you work with our existing analysts rather than replace them?

That is the usual arrangement. Your analysts know what the numbers mean; our engineers make the pipeline reliable and reproducible. We hand back code your team can read and extend, not a black box.

Do you write tests for data transformations?

Yes. Untested transformation code is how silent data corruption happens. We test against fixture datasets and add validation checks that fail loudly when input data changes shape.

Hire pandas Developers

Engineers who turn messy spreadsheets, exports, and API dumps into clean, tested, reproducible datasets.

Get Matched with a Developer

pandas work is rarely glamorous and almost always urgent. It is the reconciliation script that has to run before month-end close, the ETL job that keeps failing on a malformed CSV, the analysis notebook that nobody can reproduce. Our engineers write this code the way you would want production code written — with tests, clear column contracts, and error handling for the row that will inevitably be malformed.

What clients hire our pandas engineers for

Data cleaning and reconciliation

Merging sources that disagree, handling missing and duplicated records deliberately, and producing an audit trail of what was changed and why.

ETL and reporting pipelines

Scheduled jobs that pull from APIs and databases, transform to a defined schema, and load into a warehouse or BI tool — with alerting when they fail.

Rescuing notebooks

Turning an analysis that only runs on one person's laptop into a versioned, parameterised job the whole team can run and trust.

pandas skills we staff for

pandas DataFrame & groupby patterns

Merging, reshaping & time-series resampling

Memory optimisation via dtypes & chunking

Data validation (pandera, Great Expectations)

SQL and warehouse integration

Testing data transformations with pytest

When it’s worth bringing in pandas expertise

Hire a pandas engineer when data prep is eating your analysts' week, when a reporting job breaks more often than it runs, or when a critical dataset exists only as an untested notebook.

Flexible Hiring Models

Hourly

Pay only for the hours you need. Ideal for short tasks, fixes, and overflow work.

Dedicated (Monthly)

A full-time developer working only on your product, integrated into your team and tools.

Dedicated Team

A full squad — developers, QA, and a project manager — to own your roadmap end to end.

Need a whole team instead of one engineer? IT staff augmentation or browse every role we staff.

Hiring pandas developers — FAQs

Discuss your project

Tell us what you are building or what needs fixing. You will hear back from an engineer — not a sales rep — within one business day, usually with questions or a rough approach.

Your enquiry goes straight to our engineering team — the people who will scope and build your project, not a sales desk.

sales@dablewdevs.com Book a free 30-min call