Hire Data
Hire dedicated Data engineers.
Data engineers building pipelines that run reliably and warehouses that analysts can actually trust.
What You Get
What sets these engineers apart.
Pipelines that fail loudly
Idempotent jobs with clear retry semantics and alerting, because a pipeline failing silently is worse than one failing noisily.
Modelling for the consumer
Warehouse models designed around the questions analysts actually ask, rather than mirroring the source system's structure.
Data quality enforced
Tests on freshness, volume and referential integrity running as part of the pipeline, not as an occasional manual check.
Core Skills
What they work with.
- dbt and SQL modelling
- Airflow, Dagster and Prefect
- BigQuery, Snowflake and Redshift
- Kafka and streaming ingestion
- Spark for large-scale processing
- Data quality testing and lineage
Engagement
$3,500 / month
Per Data engineer, 160 hours per month, fully dedicated. Deployed within 48 business hours, scale up or down on two weeks' notice, full IP ownership from the first commit.
FAQ
Common questions.
Can they build our warehouse from scratch?
Yes — ingestion, modelling and the BI layer on top. We start with the questions the business needs answered and design backwards from those.
Do they know dbt?
Yes. It is the default for warehouse transformation work, including testing, documentation and lineage.
Batch or streaming?
Batch unless there is a genuine business requirement for freshness measured in seconds. Streaming carries real operational cost and is often adopted without needing it.
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Get In Touch
Tell us what you are building.
Stack, team size, timeline, and what success looks like. We respond within 4 business hours on business days.
Or email info@nimlogixtechnologies.com