Principal Data Engineer

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

This role offers the opportunity to lead the development and evolution of a high-performance, large-scale data ecosystem in a fast-growing fintech environment. You will take ownership of data infrastructure, pipelines, and analytics platforms, ensuring reliable, scalable, and efficient processing of high volumes of data. The position requires deep technical expertise in cloud-based data platforms, ETL/ELT frameworks, and distributed systems, combined with strong collaboration skills to partner across engineering, analytics, and product teams. This role is ideal for a forward-thinking engineer who enjoys architecting robust solutions, evaluating new technologies, and mentoring teams while delivering business-critical insights.

• Accountabilities:
• Own end-to-end design, development, and optimization of data warehousing infrastructure, KPIs, and SLAs.
• Architect, build, and maintain large-scale, high-performance data pipelines to support analytics, product insights, and operational workflows.
• Lead ETL/ELT development using Redshift, DBT, AWS DMS, and other modern data tools.
• Collaborate with cross-functional teams (engineering, analytics, product, finance, risk) to gather requirements and deliver robust, high-quality datasets.
• Evaluate, integrate, and guide the adoption of new technologies to evolve the data ecosystem.
• Optimize warehouse performance through query tuning, data modeling improvements, and cost management.
• Mentor and provide technical guidance to other engineers, fostering best practices in data engineering and architecture.
• Requirements:
• 10+ years of experience in data engineering, building and scaling production-grade systems.
• Expert-level knowledge of AWS Redshift or similar platforms, including performance tuning, table design, and workload management.
• Hands-on experience with ETL/ELT frameworks such as DBT, AWS DMS, or equivalent tools.
• Strong SQL skills and proficiency in at least one programming language (Python, Scala, or Java).
• Experience building and maintaining AWS-based data platforms, including S3, Lambda, Glue, and EMR.
• Proven experience designing scalable, fault-tolerant pipelines processing 100GB–1TB of data per day.
• Deep understanding of data modeling, distributed systems, and data warehouse/lake design patterns.
• Ability to work in a fast-paced, collaborative environment with strong communication and documentation skills.
• Preferred: experience in high-growth, data-intensive fintech, lakehouse architectures (Snowflake, Databricks, Iceberg, Delta Lake), streaming technologies (Kafka, Kinesis, Flink), machine learning pipelines, or infrastructure as code (Terraform, CloudFormation).
• Benefits:
• Competitive salary range of $170,000–$250,000 USD OTE, including base and variable components.
• Unlimited PTO, volunteer hours, and sabbatical opportunities.
• Comprehensive medical, dental, vision, life, STD/LTD insurance.
• 401(k) plan with company match.
• Highly discounted LifeTime gym membership.
• Collaborative, inclusive work environment with motivated, driven team members.
• Opportunity to contribute to a rapidly scaling fintech company and influence the evolution of its data platform.

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 three 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!

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.

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