Hire data engineers

Nearshore data engineers who build trustworthy pipelines, warehouses and analytics infrastructure — the foundation your AI and reporting actually depend on.

40–55%Savings vs US hire
4 daysTo first shortlist
GMT-3/-6Time-zone overlap
10+LATAM countries

Models and dashboards are only as good as the data feeding them. NearSmarter's data engineers build the ingestion, transformation and warehousing layers that make analytics and ML reliable instead of fragile.

What our Data engineers bring

  • Python, SQL and Spark for large-scale processing
  • Airflow, dbt and modern ELT orchestration
  • Snowflake, BigQuery, Redshift and lakehouse architectures
  • Streaming with Kafka, Kinesis and Flink
  • Data quality, lineage and governance
  • Cloud data platforms on AWS, GCP and Azure

Sample profiles

Representative of the engineers in our vetted Data pool.

J.A.

Senior

8 yrs · São Paulo, BR

PythonSparkdbtSnowflake
V.C.

Senior

7 yrs · Guadalajara, MX

AirflowBigQueryGCP
S.P.

Mid-Senior

5 yrs · Bogotá, CO

SQLKafkaRedshift

Why hire Data developers through NearSmarter

Trustworthy data

Pipelines with testing, lineage and quality checks built in.

AI-ready foundations

The clean, governed data your ML and GenAI work needs.

Cost-aware warehousing

Modeling and tuning that controls warehouse spend.

What does it cost to hire a Data developer?

US in-house (all-in)

$15k–20k

per month

NearSmarter nearshore

$7k–10k

per month · save 40–55%

All-in cost including benefits, equipment and our service fee.

Get a precise estimate for your role

How hiring works

1 · Define the brief

A solutions engineer scopes the role with you — stack, seniority, time-zone overlap and team-fit signals — in a single 30-minute call.

2 · AI-assisted shortlist

Our matching engine ranks our vetted talent pool against your brief; a senior recruiter reviews every candidate before they reach you.

3 · You interview the top 3–5

We schedule the interviews, prep the candidates and debrief afterwards. You only spend time on engineers who clear our bar.

4 · Start in days, not months

We handle contracts, equipment, payroll, benefits and compliance across 10+ LATAM countries. Your engineer joins your standup within the week.

Frequently asked questions

What's the difference between a data engineer and a data scientist?

A data engineer builds the pipelines and infrastructure that move and transform data reliably; a data scientist or ML engineer builds models on top of it. Most teams need solid data engineering before ML pays off.

What does a nearshore data engineer cost?

Typically $7,000–10,000/month all-in through NearSmarter — around 40–55% less than an equivalent US hire.

Related roles

Ready to hire Data developers?

Get a transparent, calibrated estimate in under 5 minutes — or talk to a specialist about your role.