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Tankar Solutions

Hire Python developers

Developers who build data pipelines, APIs and machine-learning services in Python, with tests, typing and reproducible environments.

What a Tankar Python developer does

Builds the pipelines that move and clean data, the services that expose it, and the checks that tell you when a run is wrong rather than late. Environments are pinned and reproducible, so a pipeline behaves the same on a laptop and in production.

Data work and model work are different jobs

Both use Python and the overlap misleads buyers. Pipelines are about correctness, scheduling and recovery. Models are about evaluation, drift and cost per prediction. We staff them differently and say which one you need.

How the engagement is set up

Named developers on your board, access issued per person and logged, and a weekly demo of what actually runs rather than a status update.

What each level brings

LevelWhat they bring
Junior
  • Writes tested transformations and endpoints inside an existing project layout
  • Uses type hints, linting and a pinned environment without being reminded
  • Documents what a pipeline step does and what it assumes about its input
Mid-level
  • Owns a pipeline or a service end to end, including scheduling, retries and data quality checks
  • Profiles slow code and fixes the cause rather than adding another cache
  • Packages a model behind an API with versioning and a rollback path
Senior
  • Designs the data platform layout, the contracts between stages and the ownership of each dataset
  • Sets the evaluation and monitoring approach for models in production, including drift checks
  • Reviews the work of the pod and decides when a simpler statistical method beats a model

Engagement terms

The terms that hold for every developer placed on this stack.

TermDetail
IP and source codeFull IP assignment at final payment. Source code sits in your repository from week one, and an NDA is signed before discovery.
Data accessAccess to production data is least-privilege and logged. Where possible the work runs against a masked copy under the ISO 27001 process.

Questions buyers ask

What buyers ask before they add a developer on this stack.

Is a Python developer the same as a machine-learning engineer?

No, and the difference matters. A Python developer builds services and pipelines. If you need model selection, evaluation and monitoring, ask for an AI and machine-learning engineer instead.

Can they work inside our data warehouse?

Yes. Most engagements are inside an existing warehouse with dbt or SQL models, and the developer works to your naming and testing conventions rather than importing ours.

How do you handle access to sensitive data?

Least-privilege accounts issued per person, access logged, and a masked or sampled copy used wherever the work does not need the real records. The arrangement is agreed in writing before access is granted.

Django or FastAPI?

Django when the product needs an admin, auth and forms out of the box. FastAPI when the job is a typed API or a model service. The choice is made per project and explained in the estimate.

Can they take over an existing pipeline nobody understands?

Yes, and the first output is usually a written map of what runs, when, and what breaks when it is late. That document is useful even if you stop there.

Request a developer

Tell us the level, how many people and when they should start. A named person replies within one business day. NDA on request.

Every field is required unless it says optional.

Level

From 1 to 20.

Include the country code.

The product, the team they would join and the hours of overlap you need.

Tell us what you are building.

NDA on request. Written estimate within 48 hours of a scoped call. Reply within one business day.

Get a proposalContact

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