We’ll match you with an ETL developer for a specific task: fixing failing jobs, adding a new source or updating transformation rules. They work with SSIS, Informatica, Talend and dbt, and hand the work back documented when it’s done.
Our developers maintain Informatica and SSIS jobs and build in dbt and Airflow, so one person can work across both sides of your stack.
92% of our engineers are senior. The developer on your task has seen messy mappings before.
Five of our engineers hold Anthropic’s Claude Certified Architect credential. When your data starts feeding AI, you can hire Claude Certified Architects to review what reaches the model.
With AI-assisted development, our developers make up to 20% fewer errors and ship up to 50% faster, and a senior still checks every transformation rule.
98% client satisfaction, and many first ETL tasks turn into the next piece of data work.
Our processes are ISO 27001-certified, and we follow GDPR and HIPAA practices, which matters when ETL jobs move customer or financial data.
The tool you run, what’s broken or missing and what “done” looks like. We’ll reply within 24 hours.
We match on the ETL tools and data sources you actually use.
Which jobs, which rules, how you’ll check the result and when it’s finished.
Regular progress updates. You’re needed for access and business questions, and the rest runs on our side.
Code, notes on the business rules and a walkthrough. The engagement ends or moves to the next task.
An ETL developer moves data from source systems into a warehouse and shapes it on the way. Day to day, it’s also a lot of debugging: failed jobs, late loads and numbers that don’t match between systems.
The work usually splits into four areas:
Most ETL developers specialize in one or two tools, such as SSIS, Informatica, Talend or dbt. When you hire one, a match with the tool you already run matters more than anything else on the CV.
Hire an ETL developer when the work sits inside the transformation layer: legacy mappings, business rules, source-to-target logic and reconciliation. A data engineer covers a wider range, including pipelines, warehouses, orchestration and platform setup.
Here’s a quick test. If the problem sounds like “the numbers are wrong” or “this job needs new rules”, an ETL developer fits. If it’s “we need a new platform” or “our pipelines can’t keep up”, that’s data engineering work, and it’s better to hire data engineers for it.
Many of our ETL developers also work in dbt and Airflow. Smaller tasks that cross into pipeline work usually don’t need a second person.
Yes, they can. It’s one of the most common requests we get. The developer starts by mapping what each job does today, using the tool itself, the code and your output tables. Thin documentation slows the first days down, but it doesn’t block the work.
As they go, the developer writes down what they find: sources, targets, business rules and the dependencies between jobs. Even if you started with no documentation, by the end of the task you’ll have it for every job they touched.
Before the first call, list the jobs that worry you most and who on your side knows the business meaning of the data. Even a partial list helps the developer start in the right place.
For a handful of jobs, yes, you can. One developer can rebuild them in dbt, Azure Data Factory or AWS Glue, test each new version against the old output and switch over job by job.
That approach works well when you want to cut license use gradually or move the jobs that change most often first. When the whole estate has to move before a license renewal, with an audit of every mapping and a parallel run, it’s a bigger program, and ETL development services are a better fit.
Not sure which case you’re in? Count the jobs and note your renewal date. That’s usually enough to decide on the first call.
If ETL work keeps coming and you’d like the developer to work inside your team, it becomes data engineering staff augmentation.
The developer then joins your standups, takes tasks from your backlog and reports to your lead, with no new hiring round. They already know your jobs and business rules, so there’s no second onboarding.
When the backlog slows down, you can switch back to single tasks.
Name it, and we’ll tell you what kind of developer it needs and roughly how long the fix should take.
Tech label
Tech label
Healthcare
