Hire Data Engineers
Transform raw data into business intelligence with our elite data engineers. From ETL pipelines to data warehouses, we build the infrastructure that powers data-driven decisions.
Build Data Infrastructure That Powers Analytics
Stop struggling with fragmented data. Our data engineers build robust pipelines, modern data warehouses, and quality frameworks that turn your data into a competitive advantage.
- Modern data stack expertise (Snowflake, dbt, Airflow)
- Scalable ETL/ELT pipelines processing millions of records
- Data quality and governance frameworks
- Real-time streaming with Kafka and Spark
Expertise
Data Engineering
Our Expertise
Complete Data Engineering Stack Mastery
Our engineers are proficient across the entire data ecosystem—from ingestion to warehousing to visualization.
Data Warehouses
- Snowflake
- BigQuery
- Redshift
- Databricks
Processing & Orchestration
- Apache Spark
- Apache Airflow
- dbt
- Kafka
Languages & Tools
- Python
- SQL
- Great Expectations
- Fivetran
Analytics & BI
- Looker
- Tableau
- Power BI
- Metabase
Why Hire Data Engineers from Salt?
Data engineering requires both technical depth and business understanding. Our engineers excel at building data systems that drive real business outcomes.
End-to-End Pipeline Expertise
Our engineers design and build complete data flows—from source systems to warehouses to dashboards—not just isolated components.
Data Quality Champions
Trained in data validation, testing frameworks, and governance to ensure your data is accurate, complete, and trustworthy.
Analytics Enablement Focus
We don't just move data—we transform it into models and metrics that analysts and stakeholders can actually use.
Risk-Free Trial
Try us for 2 weeks. If you're not satisfied, you pay nothing.
Our Promise
- 2-Week Risk-Free Trial
- Strict NDA & IP Protection
- Overlap with US/EU Hours
- Senior Engineers Only
Our Talent Engine
How We Hire & Nurture Top Data Engineering Talent
Finding exceptional data engineers requires testing for SQL mastery, pipeline design thinking, and data modeling expertise.
Data-Focused Sourcing
We target engineers with proven modern data stack experience, certifications (Snowflake, dbt), and production pipeline portfolios.
Real Pipeline Challenges
Candidates design data models, write SQL transformations, build Airflow DAGs, and optimize query performance.
Data Quality Training
Comprehensive training on data testing, validation frameworks, lineage tracking, and governance best practices.
Data Engineering COE
Our Center of Excellence tracks modern data stack updates, tool releases, and emerging patterns in analytics engineering.
Simple Process
Hire Your Data Engineering Team in 4 Simple Steps
Share Requirements
Tell us about your data stack, pipelines, and team needs.
Review Profiles
We send you pre-vetted profiles of senior data engineers within 24h.
Interview
Conduct technical interviews to ensure the perfect fit.
Onboard
Start working with your new team member instantly. Risk-free.
Choose the Right Data Engineering Model
Whether you need ongoing data platform support or project-based pipeline development, we have a model that fits.
Managed Data Engineering Team
Your own data engineering team, managed by Salt. Best for building and maintaining data platforms long-term.
Staff Augmentation
Hire top 1% data engineers to extend your team. Best for specific pipeline projects or warehouse migrations.
Powered by the SPARK™ Framework
Our proprietary delivery framework ensures that your data team isn't just building pipelines, but delivering actionable insights.
Why SPARK makes the difference?
- 1
Strategic Alignment
We don't just build pipelines. We align data infrastructure with your analytics and business goals.
- 2
Data Platform Acceleration
Pre-built dbt models, Airflow templates, and quality frameworks to launch your data platform faster.
- 3
Quality & Reliability
Automated data testing, validation, alerting, and governance built into every pipeline.
The SPARK Promise
Our Capabilities
What Our Data Engineers Can Deliver
From ETL pipelines to data warehouses, we build the infrastructure that powers data-driven organizations.
Data Pipelines
Automated ETL/ELT workflows with Airflow, dbt, and Fivetran for reliable data movement and transformation.
Data Warehouses
Modern cloud warehouses on Snowflake, BigQuery, or Redshift with optimized schemas and performance tuning.
Real-Time Streaming
Event-driven architectures with Kafka, Spark Streaming, and Flink for real-time analytics and monitoring.
Analytics Engineering
dbt transformations, data marts, and semantic layers that enable self-service analytics.
Data Quality
Comprehensive testing with Great Expectations, dbt tests, and custom validation to ensure data accuracy.
BI & Visualization
Dashboard development with Looker, Tableau, or Power BI connected to your data warehouse.
Expert Insights
The Complete Guide to Hiring Data Engineers in India
Everything you need to know about building robust data infrastructure and pipelines with India's top data engineering talent.
Table of Contents
Why Hire Data Engineers?
Data engineers are the architects of your data infrastructure, building pipelines that transform raw data into actionable insights. When you hire data engineers, you invest in the foundation that powers analytics, ML, and data-driven decision making.
- Scalable Data Pipelines: Build ETL/ELT workflows that handle millions of records daily with tools like Airflow, dbt, and Spark.
- Modern Data Stack: Expertise in cloud data warehouses (Snowflake, BigQuery, Redshift) and the latest data tools.
- Data Quality & Governance: Implement testing, validation, and lineage tracking to ensure trustworthy data.
- Real-Time Processing: Stream processing with Kafka and Flink for real-time analytics and event-driven architectures.
Our Data Engineering Expertise: End-to-End Data Infrastructure
At Salt Technologies, we hire data engineers who master the entire data stack—from ingestion to transformation to visualization.
Data Warehousing
Expertise in Snowflake, BigQuery, Redshift, and Databricks for modern cloud data warehouses.
Data Processing
Building pipelines with Apache Spark, Apache Airflow, dbt, and Kafka.
Data Integration
ETL tools like Fivetran, Airbyte, Stitch, and custom Python/SQL pipelines.
Analytics Engineering
Transformations with dbt, testing with Great Expectations, visualization with Looker and Tableau.
Data Engineer Profiles
We offer engineers at various experience levels, from ETL development to data platform architecture.
| Level | Experience | Key Competencies |
|---|---|---|
| Junior Data Engineer | 1-3 Years | SQL, Python, ETL basics, data warehousing, basic Airflow. |
| Senior Data Engineer | 4-7 Years | Spark, Kafka, dbt, data modeling, pipeline orchestration, optimization. |
| Data Platform Architect | 8+ Years | Platform design, data governance, lake/warehouse architecture, team leadership. |
Cost Comparison: Hire Data Engineers in India vs. US
Hiring data engineers in India offers exceptional value, particularly for senior roles where US salaries are exceptionally high due to demand.
| Region | Annual Cost (Senior Engineer) | Savings with Salt |
|---|---|---|
| United States (In-House) | $140,000 - $185,000 | - |
| Western Europe (In-House) | €75,000 - €105,000 | - |
| Salt Technologies (India) | $40,000 - $62,000 | Up to 70% |
Flexible Hiring Models
We understand that every data infrastructure need is unique. Choose the model that fits your requirements.
Dedicated Team
Your own full-time data engineering team. Best for building and maintaining data platforms long-term.
- Full control & transparency
- Seamless integration
- Monthly flat rate
Staff Augmentation
Add data engineering experts to your team. Best for specific pipeline projects or migrations.
- Scale up/down easily
- Short-term contracts
- Immediate start
Data Engineering Hiring FAQ
Do your engineers have modern data stack experience?
Yes, our data engineers are proficient in the modern data stack including Snowflake, dbt, Fivetran, Airflow, and cloud data warehouses. Many have hands-on production experience.
Can you help with real-time data pipelines?
Absolutely. We have extensive experience building real-time streaming pipelines using Kafka, Spark Streaming, Flink, and event-driven architectures.
What about data quality and testing?
Our engineers implement comprehensive data quality frameworks using Great Expectations, dbt tests, and custom validation logic to ensure data accuracy and reliability.
How quickly can I hire a data engineer?
We typically share pre-vetted profiles within 24-48 hours. Once you select a candidate, they can start working within 1 week.
Ready to Build Data Infrastructure That Scales?
Stop drowning in data chaos. Hire data engineers who build pipelines, ensure quality, and enable analytics at scale.