Senior Snowflake developers, based in the US, working your hours
Snowflake warehouses, pipelines, and data models, built by US engineers who keep queries fast and credit bills sane.
- Every engineer lives and works in the US
- Works your hours, joins your standups
- NDA and full IP assignment from day one
Book your call: tell us what you need
"NextGen scaled us from 2 to 7 dedicated engineers in under a quarter. Enterprise-grade capacity, zero agency drag."
"Their R&D tax credit workflow platform paid for itself in the first filing season."
"AI-native from day one. Our IRS transcript pipeline runs 24/7 without a human in the loop."
"Property tax appeals used to take weeks. Their comp analysis tooling turned it into hours."
"The AI intake agent handles our tier-1 patient calls with a hand-off cleaner than our old call center."
"POS, inventory, ordering — all unified. We finally have one source of truth across every location."
"The procurement platform paid for itself in the first quarter of use."
"They shipped our matching engine in 6 weeks. Our old team would've taken 6 months."
"Enterprise-grade delivery without the enterprise-agency price tag."
"Their team plugged into our sprint on day one. Zero ramp time."
"NextGen scaled us from 2 to 7 dedicated engineers in under a quarter. Enterprise-grade capacity, zero agency drag."
"Their R&D tax credit workflow platform paid for itself in the first filing season."
"AI-native from day one. Our IRS transcript pipeline runs 24/7 without a human in the loop."
"Property tax appeals used to take weeks. Their comp analysis tooling turned it into hours."
"The AI intake agent handles our tier-1 patient calls with a hand-off cleaner than our old call center."
"POS, inventory, ordering — all unified. We finally have one source of truth across every location."
"The procurement platform paid for itself in the first quarter of use."
"They shipped our matching engine in 6 weeks. Our old team would've taken 6 months."
"Enterprise-grade delivery without the enterprise-agency price tag."
"Their team plugged into our sprint on day one. Zero ramp time."
Sound familiar?
- Hiring a senior Snowflake developer full-time is taking months.
- Your Snowflake codebase has grown messy and every change breaks something else.
- Offshore hand-offs and time-zone gaps turn one-day fixes into week-long threads.
- You need someone senior enough to make decisions, not just close tickets.
What our Snowflake engineers build
Warehouse design
Schemas, dbt models, and roles set up to scale.
Rescue & upgrades
Existing Snowflake work stabilized, documented, and brought up to date.
Integrations
Snowflake connected cleanly to the rest of your systems.
How it works
- 01
15-minute call
Tell us what you need built or fixed and where it's stuck.
- 02
Matched profiles
You meet US-based engineers with directly relevant work behind them.
- 03
You interview
Run your own technical interview. You only move forward with people you pick.
- 04
They start shipping
Onboarded into your repo, tools, and review process, with a weekly written update.
Hire US-based Snowflake developers from NextGen Coding Company to build SQL transformations, dbt models, ingestion pipelines, and Snowpark workloads. Define the work around your data platform's actual failure points: stale dashboards, duplicate events, expensive scans, or warehouses competing for resources. Relevant project details include source systems, freshness requirements, data volumes, and how downstream teams consume modeled tables.
A focused technical discussion should cover Snowpipe, Streams and Tasks, Dynamic Tables, and where Python through Snowpark belongs in your architecture. Include role-based access, environment separation, and deployment practices rather than treating production as a worksheet playground. Every engineer lives and works in the US and joins your standups during your hours. An NDA and full IP assignment come before code access.
Frequently asked questions
- What skills should I look for in a Snowflake developer?
- Look for strong SQL, dimensional modeling, incremental processing, and practical use of Query Profile. Candidates should explain micro-partition pruning, warehouse sizing, and role-based access without presenting every feature as necessary. If your stack includes dbt or Snowpark Python, ask for a walkthrough of testing, dependency management, and deployment in those tools.
- How does a developer troubleshoot slow Snowflake queries?
- Begin with Query History and Query Profile to distinguish queueing, excessive scans, join expansion, and spilling. Then inspect filters, data types, table design, and warehouse configuration. Clustering, search optimization, or a larger warehouse may help specific workloads, but each choice should follow evidence rather than become a default fix for every slow query.
- Should I use Dynamic Tables or Streams and Tasks?
- Dynamic Tables suit declarative SQL pipelines where Snowflake manages refreshes against a target lag. Streams and Tasks offer more explicit control over change processing and procedural steps. Compare transformation support, deletion handling, scheduling dependencies, and recovery needs. Neither approach removes the need to test correctness when source data arrives late or changes unexpectedly.
- How should dbt projects be organized for Snowflake?
- Separate source-aligned staging models from intermediate transformations and business-facing marts. Define model ownership, data tests, documentation, and incremental strategies alongside environment-specific databases and schemas. CI should validate changes without casually modifying production objects. Pay particular attention to unique keys and late-arriving records, which can quietly undermine otherwise successful incremental model runs.
- What should I prepare before hiring a Snowflake engineer?
- Bring an architecture sketch, ingestion inventory, sample query profiles, and the backlog you want addressed. Identify whether the priority is modeling, performance, orchestration, or access controls. Book a 15-minute call to discuss the work; most teams interview matched engineers within a week. If a match proves unsuitable, we arrange a replacement with a proper hand-over.
- Are your developers really based in the US?
- Yes. Every engineer lives and works in the United States. No offshore subcontracting and no hand-offs to another team. That's written into the contract.
- How fast can someone start?
- Most teams interview matched engineers within a week of the first call. Start dates depend on your interview process.
Related reading
- How to hire a software developer
What to check before you sign.
- Hiring test for senior engineers
How to vet senior talent fast.
- Senior engineer salary guide 2026
What the market pays.
- Onshore vs offshore vs nearshore
The honest tradeoffs.
- Forward deployed engineers
Need an owner, not just capacity?
- Resource library
Every guide and benchmark we publish.
Start your project request
Tell us what you're building — engineering capacity, AI, QA, cloud, or a fixed-scope software engagement. Our NYC team responds within one business day.
- Response within 1 business day
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- Recommended engagement model & pricing
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