Senior Data Engineer (Remote)

Jobgether

71d • $145,000 - $220,000

About The Position

We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize robust data pipelines that power enterprise analytics and executive reporting. In this role, you will build scalable, high-performance datasets that drive key business insights and support decision-making across multiple domains. You will collaborate with business stakeholders, data analysts, and engineering teams to ensure data accuracy, reliability, and consistency. The ideal candidate thrives in a fast-paced environment, excels at solving complex technical challenges, and takes pride in delivering clean, maintainable, and efficient data solutions. This fully remote role offers the flexibility to work across time zones while contributing to strategic data initiatives at a global scale.

Requirements

• Bachelor’s degree in a STEM field.
• 12+ years of experience in data engineering or analytics engineering, with at least 4 years supporting Marketing, Sales, or Finance functions.
• Expert-level SQL skills and experience building large, performant datasets for BI tools such as Tableau.
• Deep familiarity with modern cloud data warehouses (Snowflake, BigQuery, Redshift).
• Proficiency in Python for scripting, automation, or lightweight data transformations.
• Hands-on experience with dbt and scalable analytics codebases.
• Strong understanding of business tools like Salesforce, Marketo, and People.ai.
• Exceptional communication skills, capable of explaining technical solutions to both technical and non-technical stakeholders.
• Ability to work independently in ambiguous environments and deliver high-quality results under tight deadlines.
• Experience optimizing data pipelines and monitoring data quality for executive reporting.

Responsibilities

• Design and build scalable, high-performance data models and SQL-based pipelines for enterprise analytics and reporting.
• Develop modular and well-documented dbt models to standardize business logic across datasets.
• Optimize large datasets in cloud-based warehouses such as Snowflake, focusing on performance, efficiency, and usability.
• Implement automated validation processes to ensure data quality, accuracy, and integrity.
• Collaborate with business stakeholders and data analysts to translate reporting requirements into reliable, intuitive datasets.
• Translate business goals into technical implementations, ensuring consistent metrics and KPI definitions across reporting layers.
• Monitor and fine-tune data workflows, SQL queries, and cloud resources to enhance performance and optimize costs.

Benefits

• Fully remote and flexible work environment.
• Competitive salary range: $145,000 – $220,000 per year, with bonuses and equity grants.
• Comprehensive health, wellness, and retirement benefits, including 401(k).
• Paid time off and generous vacation policies.
• Professional development opportunities for career growth.
• Inclusive, mission-driven culture that values diversity and belonging.
• Employee networks, volunteer opportunities, and a vibrant global community.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees