Staff Data Warehouse Engineer (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Warehouse Engineer in United States.

We are seeking a highly skilled Staff Data Warehouse Engineer to design, develop, and maintain robust data solutions that support critical business operations. In this role, you will collaborate with cross-functional teams including analytics, product, marketing, and data science to ensure scalable, secure, and high-quality data practices. You will take ownership of the data ecosystem, translating complex business requirements into actionable technical solutions. This position offers the opportunity to guide architectural standards, mentor team members, and drive innovation in a fast-paced, growth-oriented environment. Your work will have a direct impact on data-driven decision-making and operational excellence across the organization.

Accountabilities

• Design, implement, and maintain scalable data warehouse architectures that evolve with business needs.
• Ensure data quality, governance, and security across all platforms.
• Collaborate with business and technical stakeholders to translate requirements into actionable data solutions.
• Define repeatable processes and policies that support efficient and consistent data operations.
• Mentor and guide team members to foster a culture of continuous improvement.
• Drive the adoption of new tools, techniques, and approaches to enhance the data ecosystem.
• Take ownership of high-impact business needs, providing technical guidance and leadership.
• Lead R&D initiatives to explore and implement new capabilities in the data stack.

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or related field (or equivalent experience).
• 5+ years of experience in Data Engineering or combined Software + Data Engineering roles.
• 3+ years of experience in financial services or SaaS environments.
• Strong expertise in SQL (multiple dialects preferred) and Python.
• Deep understanding of ETL/ELT patterns, data ingestion methods, and orchestration frameworks.
• Advanced knowledge of both normalized database design and warehouse modeling.
• Proven track record of integrating data into business operations from the ground up.
• Strong problem-solving skills with experience delivering end-to-end data solutions.
• Experience in software engineering, DevOps, or enterprise data systems is a plus.
• Leadership experience, including mentoring or team-building activities.

• Competitive salary with potential bonus and equity participation.
• Comprehensive health, dental, and vision coverage fully paid for employees.
• Flexible Spending Account (FSA) and Health Savings Account (HSA) options.
• Life, long-term, and short-term disability insurance.
• Employee Assistance Program (EAP) and wellness initiatives.
• Paid time off, holidays, and flexible wellness days.
• Employee Stock Purchase Program with discounts.
• Professional development opportunities and a collaborative work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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