Data Engineer at Spradious Pennsylvania

We're looking for a hands-on Data Engineer to support data integration and pipeline projects for our US-based clients. This is an ongoing, full-time engagement — not a one-off project.

Location: Pakistan (Remote)What you'll work on: Designing, building, and maintaining production ETL/ELT pipelines
Integrating data across databases, APIs, files, and third-party systems
Writing advanced SQL for transformation, reconciliation, and troubleshooting
Building batch and near-real-time data workflows
Orchestrating pipelines with Apache Airflow (or similar)
Working with Kafka or similar streaming/event-driven tools
Supporting data modeling, data quality, and warehouse integration
Troubleshooting pipeline and production data issues
Communicating directly with US clients to gather requirements and provide solutions
Documenting technical work and contributing to reusable integration patterns What we're looking for: 3–5+ years of professional experience in Data Engineering, ETL, or data integration
Strong SQL and data modeling skills
Hands-on experience with tools like Talend, Informatica, Matillion, dbt, or Semarchy xDI
Production experience with Airflow or similar orchestration platforms
Experience with Kafka or similar streaming technologies
Experience with Snowflake, PostgreSQL, Databricks, or similar platforms
Familiarity with Docker/Kubernetes and a major cloud provider (AWS, Azure, or GCP)
Prior experience working with US clients or teams
Strong spoken and written English
Comfortable working during US business hours
Self-directed, reliable, and able to own projects independently Nice to have: Experience with Semarchy xDM, xDI, or SDP
Consulting or outsourcing background
Experience in healthcare, financial services, or retail data environments Cloud certifications (Snowflake, AWS, Azure, GCP, or Databricks)Budget: $1,000–$1,400 USD/month Hours: Full-time, must overlap with US business hours