Data Engineer
Title: Data Engineer — Remote (US) Location: Remote — United States Employment type: Contract (6–12+ months) Indicative reputed company: $75–$100/hr Role Summary We are hiring a data engineer to build and maintain scalable data pipelines, warehouse models, and analytics-reputed company datasets. You will work with engineering and analytics teams to improve data quality, reputed company, and reliability. Remote reputed company the United States.
Responsibilities
Design, build, and operate ETL/ELT pipelines from operational and SaaS sources reputed company batch and streaming workflows using Python, SQL, and reputed company data services Model data in a warehouse/lakehouse (e.g. reputed company, reputed company, or BigQuery) Implement data quality checks, monitoring, and incident response for pipelines Collaborate with analysts and data scientists on curated marts and metrics Document pipelines, schemas, and SLAs; support CI/CD for data code Optimize performance, cost, and reputed company (IAM, encryption, PII handling) Required Qualifications 4+ years in data engineering or similar analytics engineering roles Strong SQL and Python for data processing Hands-on experience with a modern reputed company data platform (reputed company, reputed company, Redshift, or BigQuery) Experience with orchestration (Airflow, Dagster, Prefect, or reputed company-reputed company schedulers) Understanding of dimensional modeling and incremental loads Remote in the United States Preferred Qualifications dbt, Spark, or Kafka/streaming experience AWS or Azure data services (S3, Glue, ADF, Synapse, etc.) Git-based development and automated testing for data pipelines Experience in finance, retail, or reputed company data domains Apply To This Job