Offshore Data Warehouse Developer

Mainly: building and maintaining ETL and ELT pipelines, writing dbt transformation models, tuning query performance in Snowflake or Redshift, and keeping the BI layer connected to clean, reliable data. On a mature team, they also run automated data quality tests, document lineage, and work with analysts to build new reporting tables. If you need someone who interprets data and builds reports rather than builds the warehouse, you may want an offshore data scientist instead.

2–5 business days from the moment you confirm your requirements. That means pre-screened, shortlisted resumes, not a pile of LinkedIn profiles. The clock starts when we understand your stack, the scope of the role, and the seniority level you need. Senior roles with narrow platform requirements sometimes hit the top of that range; mid-level roles often come back faster.

$113K to $125K is the current US average for a data warehouse developer per ZipRecruiter and Glassdoor 2026 data. Fully loaded with benefits and overhead, that number climbs above $160K annually. Offshore equivalents through Kore BPO typically run 60–70% less. For a senior developer, that's often $70K to $90K in savings per year on a single headcount, not counting the cost of a 60-day search that came up empty.

Snowflake, Amazon Redshift, and Google BigQuery are the most common in our talent pool. Most candidates also carry dbt experience, and many are proficient in Apache Airflow or Prefect for orchestration. We match to your specific stack. If your environment is Azure Synapse or Databricks-focused, tell us upfront. We also place offshore data architects when the role leans more toward enterprise modeling and governance.

They work inside your environment under your access controls: VPN access, role-based permissions, NDA and IP agreements signed before the start date. Your security team sets what they can and cannot touch. If you're in healthcare, fintech, or another regulated vertical, flag that before the search. It changes our vetting criteria and the conversation we have with candidates about your compliance requirements.

There's a replacement process. If a placement doesn't work in the initial period, we re-source. The specifics are part of the engagement terms we go through before the search starts. Most fit issues trace back to an onboarding gap, not a skills gap. We can help you structure week one before the developer starts to close that risk on the front end.

One developer is fine. Most clients start with one and scale from there. If you're building a full data function, a warehouse developer plus a data engineer and a data architect, we can run parallel searches. Complete analytics teams have been placed in under 90 days. See our offshore data architect page if you're thinking about that broader team build.