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Data Engineer

Strategic Systems International — United States · Posted ~5 hours ago

Mid Full-time

Skills

SQL Python ETL ELT data pipelines data modeling cloud data warehouses Airflow dbt Snowflake Redshift BigQuery

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Summary ✨ AI‑Generated

A data engineering role focused on building and maintaining scalable pipelines, data models, and warehouse solutions. The position involves improving data quality, reliability, and performance across complex environments.

Highlights

Opportunity to design scalable data platforms, improve analytics capabilities, and collaborate across teams to deliver reliable data solutions.

Description

What you'll do Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from multiple sourcesBuild and optimize data models and warehousing solutions to support analytics and reportingDevelop and maintain data pipeline orchestration (e.g., Airflow, dbt) and monitor for data quality and reliabilityCollaborate with analytics, product, and engineering teams to understand data needs and deliver well-modeled, trustworthy dataImprove pipeline performance, cost efficiency, and observability as data volume and complexity grow What we're looking for 3+ years of professional experience as a Data Engineer or in a similar backend/data roleStrong SQL skills and proficiency in Python (or Scala)Hands-on experience with cloud data warehouses (Snowflake, Redshift, or BigQuery)Experience with pipeline orchestration tools (Airflow, dbt, or similar)Familiarity with cloud platforms (AWS, Azure, or GCP)Strong communication skills and comfort working cross-functionally Nice to have Experience with streaming/real-time data (Kafka, Spark Streaming)Experience with infrastructure-as-code (Terraform) or containerization (Docker)Background in a regulated or high-volume data environment