Sr. Data Engineer (Remote - US)

This data engineering role involves designing, building, and optimizing scalable data pipelines within large-scale, distributed cloud platforms. The role requires both technical excellence and strategic insight, enabling data-driven decision-making across the organization. Collaboration with cross-functional teams and mentorship are crucial aspects of this position.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• 5+ years of experience in data engineering, software engineering, or similar technical roles.
• Experience designing and implementing scalable data architectures, including pipelines for stream and batch processing.
• Proficiency in data modeling, data warehouses, and data lakehouses.
• Hands-on experience with AWS (Glue, Kinesis, Lambda), cloud-based big data technologies.
• Experience building ELT pipelines using dbt and Snowflake.
• Advanced SQL skills (Postgres, Snowflake) and intermediate to advanced Python programming skills.
• Familiarity with software development lifecycle, data orchestration tools (Airflow), and infrastructure-as-code (Terraform).
• Knowledge of analytics tools such as Tableau or Power BI.

Benefits

• Competitive base salary
• Equity participation
• Career growth opportunities
• Comprehensive healthcare and wellness plans
• Retirement/pension contributions
• Learning and development support
• Home office setup allowance
• Optional benefits (pet insurance, legal assistance, identity theft protection)