Hire Data Engineers for Scalable Pipelines
Build reliable data pipelines, lakehouses, and real-time streaming architectures. From ETL ingestion to BI-ready warehouses, our engineers turn raw data into actionable insight.
- Role
- Data Engineers
- Stack
- PythonApache SparkApache KafkadbtSnowflake
- Overlap
- US and EU/UK business hours
- Availability
- 5-7 business days
- Model
- Dedicated, Hourly, Project-Based
Why Hire Our Data Engineers?
Seasoned data engineers who build production-grade pipelines, warehouses, and analytics platforms.
Pipeline Experts
Build robust ETL/ELT pipelines using Spark, Kafka, and Airflow that process millions of records reliably.
Cloud Data Warehousing
Architect scalable data warehouses on Snowflake, BigQuery, and Redshift with optimized query performance.
Real-Time Streaming
Design Kafka and Flink streaming architectures for real-time analytics and event-driven systems.
Data Governance & Quality
Implement data governance, lineage tracking, schema enforcement, and automated quality checks.
Our Development Process
- 01
Data audit & discovery
Assess existing data sources, quality, volume, and pipeline gaps.
- 02
Architecture design
Design a scalable data lakehouse, warehouse, or streaming architecture.
- 03
Engineer selection
Match data engineers with your tech stack and domain needs.
- 04
Pipeline development
Build ingestion, transformation, and orchestration layers sprint-by-sprint.
- 05
Testing & monitoring
Validate data quality, set up alerting, and create observability dashboards.
- 06
Deployment & handover
Deploy to cloud, document pipelines, and train your team.
Why CognyX AI?
- Certified & Senior Developers
- Clean & Scalable Code
- Fast Project Kickoff
- Dedicated Team Model
- Transparent Communication
- On-Time Delivery
- Performance-Optimized Apps
- NDA & IP Protection
- Flexible Engagement Models
- Ongoing Support & Maintenance
Our Core AI Services
- FinTech & Banking
- E-Commerce & Retail
- Healthcare & Life Sciences
- SaaS & Tech
- Manufacturing & Supply Chain
- Media & AdTech
Industries we serve
Education
EdTech
Finance
Logistics
Supply Chain
Manufacturing
Retail
eCommerce
Hospitality
Travel
Insurance
Real Estate
Telecom
Data Pipeline Engineering
- ETL & ELT pipeline development
- Apache Spark batch processing
- Apache Kafka streaming
- Apache Airflow orchestration
- dbt transformations
- Pipeline monitoring & alerting
Data Warehouse & Lakehouse
- Snowflake architecture
- BigQuery & Redshift setup
- Delta Lake & Apache Iceberg
- Data modelling (star/snowflake schema)
- Query optimization
- Cost management
Analytics & BI Integration
- BI tool integration (Tableau, Looker, Power BI)
- Self-serve analytics platforms
- Data lineage & cataloging
- KPI dashboards
- Data governance frameworks
- Ad-hoc reporting infrastructure
EXPERTISE IN MODERN TECH STACKS
- Python
- Apache Spark
- Apache Kafka
- Apache Airflow
- dbt
- Snowflake
- PostgreSQL
- MySQL
- MongoDB
- AWS
- Google Cloud
- Docker
- Kubernetes
- Grafana
Flexible Hiring Models
Dedicated Developer
Full-time exclusive focus.
Hourly Hiring
Short-term tasks & consulting.
Project-Based
Fixed scope and timeline.
CognyX took full ownership of our project and brought it to new heights: responsive, proactive and technically top-notch, often exceeding our requirements.
Bryan Verona, FlyKatanaFrequently Asked Questions
Everything you need to know before hiring our data engineers.
What kinds of data pipelines can your engineers build?
Our data engineers build batch, streaming, and real-time pipelines using Apache Spark, Kafka, Airflow, Flink, and dbt on AWS, GCP, or Azure.
Do you work with existing data infrastructure?
Yes. We assess your current setup and extend or modernise it without disrupting ongoing operations.
Can you help migrate from on-premise to the cloud?
Absolutely. We design and execute cloud migrations to Snowflake, BigQuery, or Redshift with zero data loss guarantees.
How do you ensure data quality?
We implement automated data quality checks, schema enforcement, anomaly detection, and lineage tracking from day one.
Do your engineers work with real-time data?
Yes. We specialize in real-time streaming with Kafka, Kinesis, Flink, and Spark Streaming for event-driven architectures.
Can I hire a data engineer on a part-time basis?
Yes. You can engage data engineers on-demand, part-time, or full-time depending on your project scope.
Tell us what you want to automate.
Free 30-min AI architecture review.
- [email protected]
- Phone
- +91 99748 12447
- Chat on WhatsApp