ETL/ELT Pipeline Development
Our data engineers design and build production-grade data pipelines using Airflow, Dagster, and Prefect that reliably ingest, transform, and deliver data from diverse sources to your warehouse or lakehouse.
Data Warehouse & Lakehouse Architecture
Architect and implement modern data platforms on Snowflake, BigQuery, Databricks, or Redshift with our engineers experienced in dimensional modeling, dbt transformations, and data quality frameworks.
Flexible Engagement Models
Hire individual data engineers or build a dedicated data team. Our engineers work in your timezone and integrate seamlessly with your existing data stack and analytics workflows.
Why Choose Our Data Engineering Engineers
Discover why companies hire data engineers through Pine Technologies.
Tell us the skills you need and we'll find the best developer for you in hours — not weeks.
Get Your Free Consultation
Fill out the form and our team will get back to you within 2 business hours.
Data Engineering FAQ
What skills do your data engineers have?
What skills do your data engineers have?
Our data engineers are proficient in Python, SQL, dbt, Apache Airflow, Dagster, Apache Spark, Kafka, Snowflake, BigQuery, Redshift, Delta Lake, and cloud data services (AWS, GCP, Azure). They have deep experience in ETL/ELT pipeline design, dimensional modeling, data quality frameworks (Great Expectations, Soda), and DataOps practices.
How quickly can I hire a data engineer?
How quickly can I hire a data engineer?
We can match you with a pre-vetted data engineer within 48-72 hours and have them onboarded and working within 1-2 weeks. For specialized requirements like real-time streaming or specific cloud platform expertise, the matching process may take slightly longer to ensure the right fit.
What types of data projects can your engineers handle?
What types of data projects can your engineers handle?
Our engineers build batch and real-time data pipelines, data warehouses and lakehouses, reverse ETL systems, data quality and observability platforms, analytics engineering with dbt, streaming architectures with Kafka and Flink, and data mesh implementations. They handle projects from startup-scale to enterprise-grade data platforms.
Can your data engineers work with our existing data stack?
Can your data engineers work with our existing data stack?
Yes, our engineers are experienced in working with diverse data stacks and can integrate with your existing tools, databases, and cloud infrastructure. They can optimize existing pipelines, migrate between platforms, or build new data infrastructure alongside your current setup.
How do you vet your data engineers?
How do you vet your data engineers?
Our vetting process includes technical assessments covering advanced SQL, data modeling, and pipeline design. It also includes hands-on challenges building ETL pipelines with real datasets, architecture reviews for scalable data platforms, portfolio review of past data engineering projects, and communication and collaboration assessments.
What is the cost of hiring a data engineer?
What is the cost of hiring a data engineer?
Our data engineers are available starting at $1500/month for full-time engagement. Rates vary based on seniority, specialization, and engagement duration. We offer flexible contracts with no long-term lock-in, allowing you to scale up or down as needed.
About Pine Technologies
Pine Technologies is a custom software development company and IT staff augmentation agency headquartered in Pakistan and registered as a legal entity in Texas, USA. We help businesses in the United States, United Kingdom, European Union, and Australia hire pre-vetted Data Engineering Engineers and other technology professionals. Our flexible engagement models start at $1,500/month with no long-term lock-in, timezone-flexible teams, and rigorous technical vetting to ensure you get top-tier talent.
Join Our Growing Team
We're looking for talented engineers, designers, and marketers who want to work on exciting global projects. Remote & onsite roles available.
Work with global clients
Remote-friendly culture
Career growth