Senior Data Engineering developers, based in the US, working your hours
Pipelines, warehouses, and data models, built by US engineers who make your numbers reliable.
- 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 Data Engineering developer full-time is taking months.
- Your Data Engineering 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 Data Engineering engineers build
Pipelines
Reliable ELT pipelines with tests and alerts.
Warehouses
Snowflake, BigQuery, or Redshift models your analysts can use.
Data quality
Broken reports traced and fixed at the source.
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 data engineers from NextGen Coding Company to join your team on Python pipelines, Airflow orchestration, dbt transformations, and warehouse development. Every engineer lives and works in the US, with no offshore subcontracting. Define the assignment around your actual bottleneck: unreliable ingestion, slow Snowflake queries, inconsistent BigQuery models, or a reporting layer that changes whenever an upstream schema shifts.
For a useful match, bring your source systems, warehouse choice, orchestration setup, and the operational problems your team needs to resolve. A PostgreSQL-to-Snowflake pipeline using Debezium has different requirements from batch ingestion into BigQuery or Spark processing on Databricks. Our engineers work your hours and join your standups; NDA and full IP assignment are signed before anyone touches your code.
Frequently asked questions
- Should I hire a data engineer or an analytics engineer for dbt?
- Choose a data engineer when the work centers on ingestion, orchestration, storage, or pipeline reliability. An analytics-focused assignment is more appropriate for dbt models, metric definitions, and reporting datasets. If your backlog spans both, describe the source-to-dashboard workflow so the engineering interview can test Python, SQL, warehouse design, and dbt together.
- What should I ask an Airflow developer in an interview?
- Ask how they make tasks idempotent, handle retries without duplicating records, and backfill historical data without overwhelming source systems. Have them explain scheduling behavior, task dependencies, and secrets management. Discuss your deployed Airflow version explicitly: an Airflow 2.x maintenance assignment and an Airflow 3 migration require different compatibility checks and rollout planning.
- Can a data engineer improve slow Snowflake or BigQuery workloads?
- Start with query profiles, table layout, workload patterns, and the transformations feeding the slow queries. In Snowflake, examine pruning, clustering needs, and warehouse configuration; in BigQuery, review partition filters, clustering, and scanned data. The assignment should include correctness checks and representative query benchmarks, rather than promising improvements before anyone inspects the workload.
- How should we evaluate experience with Kafka and change data capture?
- Use a scenario involving PostgreSQL changes captured through Debezium and delivered into Kafka. Ask about schema evolution, duplicate events, deletes, ordering, and recovery after connector downtime. Strong answers should distinguish delivery guarantees from end-to-end correctness and explain how reconciliation detects missing records before downstream dbt models or business reports become unreliable.
- How quickly can we interview a US-based data engineer?
- Most teams interview matched engineers within a week of the first call. Book a 15-minute call and bring your stack, source volume patterns, pipeline ownership expectations, and the problems behind the hire. For a data engineering interview, prepare a sanitized DAG, SQL model, or ingestion failure scenario rather than sharing production credentials.
- 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.
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