Expert

_

Build and maintain the data pipelines, warehouses, and streaming architectures that power your analytics and decision-making. Data engineering transforms raw data into reliable, accessible, and actionable assets.

No recruiting feesTime-zone alignedNo visa sponsorship needed
0+

Engineers in Network

0%

Success Rate

0%

Average Cost Savings

What's Included in Data Engineering

Our data engineering engineers deliver comprehensive solutions across these key areas.

Data Pipeline Design & Development

Design and build ETL/ELT pipelines that reliably move data from source systems to your warehouse on schedule and at scale.

Cloud Data Warehouse Implementation

Implement and optimize cloud data warehouses on platforms like Snowflake and BigQuery so your analysts have fast, reliable access to the data they need.

Real-Time Streaming Architecture

Build event-driven streaming architectures with tools like Kafka and Spark Streaming for use cases that can't wait for batch processing.

Data Modeling & Schema Design

Create dimensional models and schema designs that make your data warehouse intuitive to query and efficient to maintain.

Legacy-to-Cloud Data Migration

Migrate off on-premise databases and legacy ETL tools to modern cloud-native data infrastructure without losing data or disrupting downstream consumers.

Data Quality & Governance

Implement data quality checks, validation rules, and governance frameworks that ensure your downstream consumers can trust the data they're building on.

Why Choose Our Data Engineering Services

Key advantages that set our data engineering engineers apart from traditional hiring.

Migrate off fragile legacy ETL processes onto modern cloud infrastructure that your team can actually maintain and extend.

Related Technologies

Technologies commonly used in data engineering projects. Click to explore dedicated engineers for each.

Python

languages

Snowflake

infrastructure

Kafka

infrastructure

Spark

infrastructure

Airflow

infrastructure

The Numbers Speak

Proven results that demonstrate our commitment to your success

0+
Successful deployments
Across Fortune 100 to YC-backed startups
0%
Client satisfaction rate
Based on post-engagement surveys
0%
Of applicants accepted
Rigorous vetting ensures only the best
0+
Engineers placed
Across startups and scale-ups globally

How It Works

Hire senior engineers in days, not months

01

Share Requirements

Tell us about your tech stack, project goals, and team needs. We match your requirements with pre-vetted talent.

02

Review Candidates

Within a week, receive curated profiles of senior engineers with proven experience in your domain.

03

Interview & Select

Meet candidates at no cost. We handle scheduling, contracts, and compliance so you can focus on fit.

04

Start Building

Your engineer joins with full support and ships production code from day one. Fully embedded in your workflows, standups, and sprint cycles.

How Fast Can You Scale?

See how quickly you can build your engineering team.

Configure Your Team

3
1 engineer20 engineers

Based on:

  • • Pre-vetted engineers ready to interview
  • • Time-zone aligned talent from the Americas
  • • Dedicated support through onboarding

Your Timeline

First Candidate

0 days

vs 10 weeks traditional hiring

0 days

Full team assembled

30 weeks

Traditional timeline

Recruiting handled for you

No job postings, screening, or agency coordination

Get Started

Start Your Data Engineering Project

Tell us what you need — we'll match you with a Data Engineering engineer within a week.

Online — We respond within 24 hours

Frequently Asked Questions

Everything you need to know about working with Flylance.

Ready to Start Your Data Engineering Project?

Join hundreds of companies that have accelerated their data engineering development with our expert engineers.

Engineers available now
Build Your Team