Lead Data Engineer

What We Offer You

• A stable, mission-driven workplace where your impact truly matters
• A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing
• Competitive compensation with a base salary + performance bonus
• Robust benefits package, including:
• Enhanced 401(k) and financial planning support
• Tuition reimbursement and professional development
• Wellness programs, including an onsite gym
• Flexible work hours
• A hybrid work environment (3 days/week onsite)
• Distance-based relocation assistance
• Paid on-call rotation

How you will make an Impact

• Own Data Architecture & Solution Delivery
• Lead the design and implementation of scalable data platforms, including data warehouses, data marts, and ETL/ELT pipelines.
• Establish standards and best practices for data modeling, transformation, and system design.
• Drive Platform Performance & Reliability
• Ensure high availability and performance of data systems through optimization, monitoring, and operational excellence.
• Oversee pipeline reliability, database performance, and production readiness for mission-critical workloads.
• Lead Data Strategy & Integration
• Partner with business and IT stakeholders to align data architecture with organizational goals.
• Drive integration of data systems and ensure consistency, accessibility, and usability of enterprise data.
• Advance Innovation & Technical Leadership
• Evaluate and adopt new tools, frameworks, and emerging technologies.
• Provide mentorship and technical leadership to the data engineering team, fostering continuous improvement and engineering excellence.
• Participate in a 24/7 on-call rotation to support mission-critical analytics in production.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s degree preferred)
• 8+ years of experience in data engineering, business intelligence, or analytics roles
• 5+ years of hands-on experience with SQL and Python, building and maintaining scalable data pipelines
• 5+ years of experience with cloud-based data platforms (AWS preferred: S3, Lambda, Athena, Aurora, Glue, Redshift)
• Strong expertise in relational data modeling, database design, and performance optimization (PostgreSQL preferred)
• Experience mentoring and developing engineers, fostering best practices, code quality, and a culture of continuous improvement.
• Strong communication skills with the ability to translate business requirements into scalable data solutions
• Ability to influence architectural decisions and collaborate cross-functionally with engineering, analytics, and business teams

Preferred Qualifications

• Experience with modern data stack tools such as dbt, Airflow or Dagster, and CI/CD pipelines
• Proven experience designing and implementing enterprise-scale data architectures and data platforms
• Familiarity with infrastructure-as-code (Terraform, CloudFormation) and DevOps best practices
• Experience with data governance, data quality frameworks, and observability tools