Offshore
ETL Developer
Vetted offshore ETL developers, placed with US companies in 2-5 business days. Candidates come proficient in Informatica, Talend, SSIS, Apache NiFi, and modern cloud-native ETL tools, sourced from Hyderabad, India and San Jose, Costa Rica. They own pipeline reliability, not just today's job run.
Kore BPO places vetted offshore ETL developers with US companies in 2-5 business days at 60-70% below US market rates. Candidates are proficient in Informatica, Talend, SSIS, Apache NiFi, and cloud-native ETL tools, sourced from Hyderabad, India and San Jose, Costa Rica.
Somebody wrote the nightly load script four years ago, got it working, and moved to a different team. It still runs at 2am. Most nights it's fine. Some nights a source field changes type, the job fails silently, and finance opens Monday's dashboard to numbers that don't reconcile. Nobody planned for this. It just happened, one workaround at a time, until the pipeline became something everyone depends on and nobody fully understands.
That's not really a tooling problem. Informatica, Talend, SSIS, whatever's running under the hood, all of it does what it's built to do. It's an ownership problem. Somebody needs to own the extract logic, the transformation rules, the load windows, and the failure alerts that keep three departments from finding out about a broken number the hard way. That's what an offshore ETL developer is for.
An ETL developer builds and maintains the extract, transform, and load pipelines that move data from source systems into a warehouse or lake, engineered for accuracy, scheduling reliability, and failure recovery. It's the discipline that turns scattered source data into something the business can actually query and trust.
Kore BPO is a US-owned offshore staffing firm with offices in Dallas TX, Hyderabad India, and San Jose Costa Rica. We've placed 6,236 offshore hires across 257 US clients, ETL and pipeline engineers included. If your team already runs on an offshore data engineer for broader infrastructure work, or leans on a database developer to keep schemas clean, an ETL developer is usually the missing piece that owns the pipelines moving data between the two.
Full disclosure. We're a staffing company. We benefit when you hire through us. If one script needs a patch by Friday, call a freelancer. But if the pipeline layer has grown past what one overworked engineer can babysit, keep reading.
ETL Developer vs Data Engineer vs dbt Developer
Three titles that get used almost interchangeably in job postings, and almost never mean the same thing in practice. Here's the honest breakdown, so you know which req you're actually writing.
| Dimension | ETL Developer | Data Engineer | dbt Developer |
|---|---|---|---|
| Primary function | Builds and owns the extract, transform, and load jobs that move data from source systems into a warehouse, on a schedule, with failure handling | Broader infrastructure role. Designs the pipelines, warehouse, and platform the ETL jobs and models run on top of | Owns the transformation layer inside the warehouse itself, after data has already landed there |
| Core tools | Informatica PowerCenter, Talend, SSIS, Apache NiFi, Fivetran, AWS Glue, Azure Data Factory, SQL, Python | Python, Spark, Airflow, Kafka, Snowflake, Terraform, sometimes ETL tools too | dbt Core, dbt Cloud, Jinja, SQL, Git |
| Output | Reliable, scheduled data movement. Clean source-to-target mappings. Alerts that fire before finance notices, not after | The pipeline and warehouse infrastructure everything else depends on | Tested, documented SQL models built on data that already arrived |
| When to hire | Data needs to move from point A to point B on a schedule, reliably, and right now nobody owns that job end to end | The infrastructure itself is missing, broken, or can't scale to new sources | Pipelines already work. The gap is untested SQL logic nobody trusts downstream |
| US market rate | $102K-$133.5K annually (mid-level) | $110K-$155K annually (mid-level) | $95K-$130K annually (mid-level) |
| Offshore cost (India) | $14K-$24K annually | $14K-$42K annually | $13K-$23K annually |
If the actual pain is data that doesn't reliably show up where it's supposed to, hire the ETL developer first. If nothing exists to build pipelines on top of yet, start with a data engineer. If the pipelines already run fine and the complaint is about SQL logic inside the warehouse, look at a dbt developer instead. Rate ranges above are directional, for role comparison only. See the sourced salary table further down this page for the ETL developer figures broken out by experience level.
Skills We Screen For By Category
One thing we see a lot. Companies assume anyone with "ETL" on a resume can handle any stack. They usually can't. Informatica depth doesn't transfer cleanly to Fivetran, and neither transfers to a hand-rolled Airflow DAG. Every ETL developer placement goes through a category-by-category check, not a single generic pipeline test.
Platform Tools
Half our intake calls involve a PowerCenter or SSIS job nobody on the current team can safely touch. We screen for candidates who can read someone else's workflow, not just build a new one.
Managed ETL Platforms
Managed connectors handle the easy 80%. The remaining 20%, custom source APIs and edge-case transforms, is where a real ETL developer earns the placement fee.
Pipeline Scheduling
Batch is still the default for most companies. When a real-time or near-real-time requirement shows up, Kafka fluency separates the candidates who can actually deliver it.
Structural Foundation
Every resume claims strong SQL. We test it live, because reading and fixing someone else's four-join query under a clock is where the gap actually shows.
Trust Infrastructure
This is the category generalist SQL developers skip most often. Untested pipelines are how a source schema change three weeks ago becomes today's finance fire drill.
Industry Credentials
Real credentials, reasonable baseline signal. None of them replace the live pipeline build and debug exercise. Not even close.
The 2am Job That Fails Silently
No alerting configured. A source field changes type, the load fails, and nobody knows until someone in finance flags a number that doesn't reconcile three days later.
The Legacy Informatica Migration Everyone's Avoiding
Leadership approved the move off PowerCenter to a modern cloud stack. It stalled, because the one person who understood the old mappings left, and nobody wants to touch it blind.
The Manual CSV Upload Pretending to Be a Pipeline
Someone exports a spreadsheet every Monday and uploads it by hand. It's worked for two years. It's also a single point of failure with no backup and no audit trail.
The Acquisition That Doubled Your Source Systems
A new subsidiary comes with its own ERP, its own CRM, and none of it maps cleanly to your existing schema. Somebody has to build that integration layer fast.
The Real-Time Request Your Batch Job Can't Meet
Ops wants inventory numbers that update within minutes, not overnight. That's a Kafka or streaming conversation, not a faster version of the same nightly job.
How We Screen Offshore ETL Developers
At this stage hiring managers usually ask the same handful of questions. Can this person actually read a pipeline they didn't build. Will they catch a silent failure before finance does. What happens when a source system changes its schema without warning.
Four checks, built around what actually breaks in production ETL environments. That's what every Kore BPO placement for this role runs through, in this order.
Pipeline Brief & Stack Confirmation
Source systems, target warehouse, current tool stack, batch versus streaming needs, and timezone overlap confirmed before sourcing starts.
Pipeline Portfolio & Architecture Review
Real pipeline diagrams and past project structure reviewed before any live exercise. We look at how a candidate actually designed for failure, not how they describe it.
Live Build & Debug Assessment
Not multiple choice. A live exercise debugging a broken pipeline job and building a new extract-transform-load flow with error handling, under time pressure.
Client Interview & Selection
You interview the top one or two candidates directly. No agency on the call. Reference checks come after you decide.
Offshore ETL Developer Cost in India vs Costa Rica vs US
Budget conversations about this hire tend to circle the same three questions. What does a mid-level ETL developer actually cost, fully loaded. Does offshore mean losing overlap hours with the team. Is the savings number real, or does management overhead quietly eat it. $102K to $133.5K is the going US range for a mid-level ETL developer right now. That's not a soft number. Here's how it compares across engagement location and experience.
| Experience Level | US Market Rate | India | Costa Rica | Typical Savings |
|---|---|---|---|---|
| Entry-level (0-2 yrs) | $78K-$100K | $9K-$15K | $24K-$34K | 85-89% |
| Mid-level (2-5 yrs) | $100K-$125K | $14K-$22K | $36K-$52K | 78-86% |
| Senior (5-8 yrs) | $125K-$150K | $22K-$32K | $52K-$72K | 74-82% |
| Lead / Staff (8+ yrs) | $150K-$175K | $30K-$45K | $70K-$95K | 70-80% |
US figures are anchored to ZipRecruiter's June 2026 ETL Developer salary data (national average $119,346, 25th percentile $102,000, 75th percentile $133,500, 90th percentile $152,500), mapped across experience tiers. India and Costa Rica figures are Kore BPO's typical fully managed engagement cost range for this role, extrapolated using the same offshore-to-US ratio published on our data warehouse developer and dbt developer salary tables. These are not independently audited or externally sourced numbers. Actual rates vary by tool stack, industry, and engagement structure. Contact us for a custom cost model for your team.
Engagement Models for This Role
Most companies that call us about ETL work fall into one of two buckets. Either the pipelines are stable and someone just needs to own them long-term, or there's a defined migration that has to happen once and happen right. Most companies scaling past 5 to 10 active pipelines end up needing a dedicated hire within about a year of realizing one engineer can't keep up part-time. That's usually the moment this conversation actually starts.
Dedicated Full-Time
A single ETL developer fully embedded in your team, owning pipeline uptime, monitoring, and new source onboarding on an ongoing basis. The most common arrangement for this role.
Contract-to-Hire
Evaluate the working relationship before committing long-term. Common for companies testing offshore for the first time on a data-critical role.
Migration Sprint (Project-Based)
Fits a defined scope with an end date. A legacy Informatica or SSIS retirement, a cloud platform move, or a source system consolidation after an acquisition.
Not Every ETL Developer Is the Same Hire
"ETL developer" covers more ground than the job title suggests. We screen and place against four common sub-specialties, matched to what your requisition actually needs.
Batch ETL Specialist
Scheduled nightly and hourly loads across relational sources. Fits the majority of companies running standard reporting cycles.
Streaming & Real-Time Specialist
Kafka-based and event-driven pipelines for near-instant data needs. Fits operational dashboards and time-sensitive reporting.
Cloud-Native Integration Specialist
AWS Glue, Azure Data Factory, and Fivetran-managed pipelines. Fits teams standardizing on a single cloud platform.
Legacy Migration Specialist
Informatica PowerCenter or SSIS to modern stack conversions. Fits a defined modernization project, not ongoing maintenance.
Good Fit, or Not a Fit
Staffing firms benefit when you hire. We're one, and we'd rather say that outright than bury it in fine print. So when we say this isn't right for everyone, we mean it.
Good Fit
- You have 5 or more source systems feeding a warehouse or lake, on a schedule that has to hold
- A legacy Informatica, Talend, or SSIS environment nobody currently owns end to end
- Pipeline failures are currently caught by the business, not by monitoring
- An acquisition or new system just doubled your integration surface area
- You're hiring 2 or more data roles in the next 90 days
Not a Fit
- One script needs a fix by Friday. That's a freelancer job, not a staffing engagement
- No source systems or warehouse exist yet. Start with an offshore data engineer
- The real gap is untested SQL models inside a warehouse that already works. Look at an offshore dbt developer
- Data must remain entirely on US soil under any circumstances
The Real Questions Behind the Objections
Is the current pipeline mess actually fixable offshore, or does it need someone in the building who can grab a whiteboard? What happens to source system knowledge if this person leaves in a year? Can overlap hours realistically cover a production incident at 3am US time?
All fair questions. Here's the honest version. Messy inherited pipelines, undocumented mappings, and one senior person who's the only one who understands the whole flow, that's the default we screen for, not an edge case. The portfolio and architecture review step exists specifically to test whether a candidate can work safely inside someone else's tangle, not just build clean pipelines from a blank canvas. That's a different skill, and most agencies don't test for it separately.
This shows up in a few consistent ways. A source system changes a field type and the load fails with no alert, so somebody in finance finds the gap two days later. A migration gets 60% done and stalls because the person who understood the old mappings left mid-project. One engineer becomes the only person who can safely redeploy the nightly job, and everyone routes around them instead of fixing the actual documentation gap. None of that is unusual. It's closer to the median than the exception.
"Can't you just find these people on LinkedIn?" Sure. Then you're in the same 60 to 90 day search every other company running a domestic req for this exact combination is stuck in right now.
On the market itself. The World Economic Forum's Future of Jobs Report 2025 lists big data specialist roles as the fastest-growing job category through 2030 by percentage, projecting 113% growth. That tells you the strong candidates for this work are not sitting on the market waiting for a call. Most are already employed, often well.
On cost specifically. A US mid-level ETL developer runs $102K to $133.5K before benefits and overhead, based on ZipRecruiter's June 2026 data. Fully loaded, that figure typically climbs past $155K. An offshore placement through Kore BPO usually saves 74% to 89% of that, depending on experience level and location, without the multi-month search dragging your reporting roadmap sideways in the meantime.
On the departure risk. Real concern, and it's not unique to offshore hiring. It's exactly why documentation and reconciliation checks get built into our screening bar itself, not added as an afterthought once someone starts. A developer who documents source-to-target mappings as they build leaves less of a landmine behind either way.
What Hiring Managers Ask Before They Call
What does an offshore ETL developer actually do day to day?
Building and maintaining the pipelines that move data from source systems into a warehouse or lake is the core of it. They write extract and transformation logic, configure load schedules, build error handling and alerting so a broken source doesn't fail silently, and document source-to-target mappings most teams never got around to writing down. On a mature engagement they also get pulled into new source onboarding and migration planning before a system change ever hits production.
How is an ETL developer different from a data engineer?
Scope, mostly. An ETL developer owns the extract, transform, and load jobs themselves, the scheduled work that actually moves data from point A to point B. A data engineer owns the broader infrastructure those jobs run on, the warehouse, the orchestration platform, the scaling decisions. If the infrastructure exists and the pain is unreliable or undocumented pipelines, hire the ETL developer. If nothing exists to build pipelines on top of yet, start with an offshore data engineer instead.
How fast can Kore BPO deliver ETL developer candidates?
2 to 5 business days for a shortlisted set of resumes, and 2 to 4 weeks for full placement, including the live build and debug assessment, portfolio review, and your own interviews. Senior candidates with deep legacy migration experience, Informatica to cloud-native conversions especially, sometimes run closer to the top of that window. That combination is genuinely rare.
What does an offshore ETL developer cost compared to a US hire?
$102,000 to $133,500 is the going US range for a mid-level ETL developer, based on ZipRecruiter's June 2026 salary data (national average $119,346). A fully managed offshore engagement through Kore BPO for the same experience level typically runs $14,000 to $22,000 in Hyderabad or $36,000 to $52,000 in Costa Rica. Those specific figures are Kore BPO's own engagement cost range, not an independently published market survey. The salary table above breaks out all four experience tiers.
Do your ETL developers work with legacy tools like Informatica and SSIS, or only modern cloud platforms?
Both, and we screen for them separately because they're not the same skill. A large share of our placements land inside Informatica PowerCenter or SSIS environments that have been running for years with minimal documentation. We also place candidates fluent in AWS Glue, Azure Data Factory, and Fivetran for teams standardizing on a cloud platform. Tell us which stack you're on and we source specifically for it, not a generalist who's touched both once.
How do you screen pipeline skill before we ever see a resume?
Backwards from how most agencies run it, on purpose. We start with a real pipeline portfolio, not the resume. Before any live exercise, we review a candidate's past architecture diagrams and project structure to see how they actually design for failure. Then comes a live exercise debugging a broken pipeline job and building a new load flow with error handling, under time pressure. Resumes come last in the process.
What if the pipelines we're handing off are already a mess?
Most of our intake calls, honestly. Undocumented mappings, a migration that stalled halfway, one person who's the only one who understands the whole flow, that's the default we screen for, not an edge case. The portfolio and architecture review step exists specifically to catch whether a candidate can work safely inside someone else's tangle instead of just building clean pipelines from scratch. Tell us how bad it actually is up front. It changes who we shortlist.
Stop Debugging Pipelines Nobody Documented
Every week a source system changes without warning, more reports run on data nobody's actually verified. That gap doesn't close on its own.
Still researching? See the data engineer or data warehouse developer pages if you're not sure which role fits your team yet.
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