DATA ENGINEER
# DATA ENGINEER **Black Financial Consult** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineering]` `[ETL-ELT-Development]` `[Data-Pipeline-Engineering]` `[Data-Architecture]` `[Cloud-Data-Engineering]` `[Data-Engineer]` `[Data-Engineering-Specialist]` `[Data-Engineering-Jobs]` `[Data-Engineering-Positions]` --- ### About the Role This is a remote position. The Data Engineer will be responsible for building reliable data pipelines, integrating multiple data sources, and ensuring high-quality, accessible, and well-structured data for analytics and product teams. The role works closely with Product, Analytics, Engineering, and Cloud teams to enable data-driven decision-making. Key Responsibilities - Design, build, and maintain scalable data pipelines and ETL/ELT processes. - Integrate data from multiple sources, including APIs, databases, and third-party systems. - Develop and optimize data models for analytics and reporting use cases. - Ensure data quality, integrity, and consistency across systems. - Support real-time and batch data processing workflows. - Collaborate with Product and Analytics teams to define data requirements. - Monitor and troubleshoot data pipeline performance and failures. - Implement data governance, security, and access controls. - Support BI and analytics teams with clean and structured datasets. - Continuously improve data architecture, performance, and scalability. Required Qualifications - 6-8 years of experience in data engineering or related roles. - Strong understanding of data structures, databases, and data modeling. - Experience building ETL/ELT pipelines in production environments. - Good problem-solving and analytical skills. - Experience working in Agile and cross-functional teams. - Strong communication and documentation abilities. Technical Skills - Programming: Python, SQL (advanced level) - Data Processing: Spark, Kafka, or similar distributed systems (preferred) - Databases: PostgreSQL, MySQL, MongoDB, or equivalent - Data Warehousing: Snowflake, BigQuery, Redshift (preferred) - Cloud Platforms: Amazon Web Services / Azure / GCP - ETL/ELT Tools: Airflow, dbt, or similar - Version Control: Git / GitHub / GitLab - BI Tools: Tableau, Power BI, or similar (supporting role) Tableau Originally posted on Himalayas
- Data-Engineering
- ETL-ELT-Development
- Data-Pipeline-Engineering
- Data-Architecture
- Cloud-Data-Engineering
- Data-Engineer
- Data-Engineering-Specialist
- Data-Engineering-Jobs
- Data-Engineering-Positions
Наблюдалась 2026-10-05, впервые 2026-10-05, источник — Himalayas (JSON API).