Data Engineer (Data Warehousing) United States - Remote
Data Engineer (Data Warehousing) United States - Remote

Website Everstream Analytics

Everstream Analytics

Data Engineer (Data Warehousing) United States – Remote

At Everstream Analytics, we keep the world moving by minimizing risk in supply chains. Our risk scores and predictive insights set the industry standard, enabling global companies to transform their supply chains into powerful, competitive assets. By going beyond traditional data limitations, we provide comprehensive information, sharp analysis, and precise predictions. Trusted by industry leaders like Google, Schneider Electric, Unilever, and Campbell’s, we empower organizations to enhance their supply chains, making them faster, smarter, safer, and more sustainable.

What Matters Most to Everstreamers

At Everstream, we are committed to excellence, no matter the challenges we face. Our team is sharp, focused, and determined—an unstoppable force. While we value integrity and honesty, our core principles run deeper:

  • Audacity: We boldly challenge the status quo, achieving what others can’t or won’t.
  • Grit: We persevere to get the job done, enabling our customers to do the same.
  • Optimism: We approach challenges with a can-do attitude, always looking for solutions.
  • Virtue: We prioritize doing what’s right, especially when it’s difficult.
  • Solidarity: We celebrate our diversity, knowing that together we achieve more.

Job Description: Data Engineer

As a Data Engineer at Everstream Analytics, you will be vital in building and maintaining our data infrastructure. Collaborating with a team of talented engineers, you will design, develop, and optimize data pipelines and products for our multi-tenant cloud-native data platform. Your expertise in distributed systems, data warehousing, and ETL/orchestration will ensure the scalability, reliability, and efficiency of our data solutions.

Key Responsibilities

  • Data Pipeline Development: Design, implement, and maintain data pipelines that manage large data volumes, ensuring quality, integrity, and availability.
  • AWS Expertise: Utilize AWS services (e.g., Lambda, EMR, S3, Glue) to create scalable, cost-effective data solutions.
  • Relational Database Experience: Work with PostgreSQL on RDS or similar technologies.
  • Stream Processing: Utilize tools like Apache Kafka and Apache Spark for real-time data processing and analytics.
  • Python Development: Employ Python for data engineering tasks, transformation, and ETL processes.
  • Data Warehousing: Implement and manage solutions for efficient data storage and retrieval to support various teams across the organization.
  • Collaboration: Partner with Product Management, Data Science, and leadership to understand data needs and deliver effective solutions.
  • Performance Monitoring: Continuously monitor and optimize data pipeline performance.
  • Documentation: Maintain comprehensive documentation for processes to ensure knowledge transfer.
  • Leadership: Act as a technical lead within the data engineering team, exemplifying pride in deliverables.

Qualifications

  • Proven experience in designing and building multi-tenant cloud-native data platforms in a SaaS or PaaS environment.
  • Strong background in Cloud Data Warehouses (AWS Redshift, Snowflake, BigQuery, Databricks).
  • Extensive experience with relational databases in production settings, especially PostgreSQL.
  • Proficiency with AWS services and ETL/orchestration tools (Glue, Spark, Airflow, Apache Seatunnel).
  • Expertise in distributed system design, data warehousing, data lakes, and stream processing.
  • Strong programming skills in Python.
  • Excellent problem-solving and troubleshooting abilities.
  • Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience.

Additional Information

  • Remote Position: 100% remote work opportunity.
  • Work Authorization: Applicants must be authorized to work in the United States on a full-time basis.

At Everstream, our remarkable team drives innovation and delivers cutting-edge products and services. We focus on growth, enabling our people, business, and customers to reach their full potential. We seek individuals who are intrinsically motivated to create, build, and push boundaries. Everstreamers thrive in dynamic environments and embrace change, consistently striving for excellence. If this resonates with you, consider growing your career with us at Everstream.


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To apply for this job please visit www.everstream.ai.