This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Engineer - Data Infrastructure in United States.
This role offers the opportunity to lead the design, development, and optimization of a high-performance, large-scale data infrastructure that powers analytics, operational workflows, and business insights. You will take ownership of the data ecosystem, improving reliability, scalability, and efficiency while partnering with cross-functional teams across engineering, analytics, product, and finance. The ideal candidate thrives in a fast-paced, high-growth environment, is passionate about building robust data pipelines, and continuously seeks to innovate with modern tooling and cloud technologies. You will influence the evolution of the company’s data stack, mentor peers, and help the organization leverage data effectively for strategic decisions. This position is critical for shaping a scalable data architecture that supports both current operations and future growth.
Accountabilities:
Take end-to-end ownership of data warehousing infrastructure, ensuring KPIs and SLAs are met.
Design, build, and optimize large-scale, high-performance data pipelines for analytics, product insights, and operational workflows.
Architect and evolve the data ecosystem, improving reliability, scalability, and efficiency.
Lead ETL/ELT development using modern tools such as Redshift, DBT, AWS DMS, and related cloud technologies.
Partner with cross-functional teams to translate requirements into robust, high-quality datasets.
Evaluate, integrate, and guide adoption of new technologies to improve the data stack and platform performance.
Optimize query performance, data modeling, and warehouse efficiency while managing costs.
Requirements:
12+ years of experience in data engineering with a proven track record of building and scaling production-grade systems.
Deep expertise with AWS Redshift or equivalent, including performance tuning, table design, and workload management.
Hands-on experience with ETL/ELT frameworks, such as DBT, AWS DMS, or similar tools.
Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
Experience building and maintaining AWS-based data platforms, including S3, Lambda, Glue, or EMR.
Familiarity with orchestration tools such as Airflow, Dagster, or Prefect for large-scale data processing.
Knowledge of data modeling, distributed systems, and modern warehouse/lake design patterns.
Strong collaboration, communication, and documentation skills for fast-paced, cross-functional environments.
Preferred: experience in fintech or regulated environments, streaming technologies (Kafka, Kinesis), lakehouse architectures (Snowflake, Databricks), ML pipelines, infrastructure as code (Terraform, CloudFormation), and large-scale platform migrations.
Benefits:
Competitive salary: $200,000 – $300,000 USD per year (negotiable).
Flexible, fully remote work environment.
Unlimited PTO, volunteer hours, and sabbatical options.
Comprehensive health, life, short-term and long-term disability, dental, and vision insurance.
401(k) plan with company match.
Opportunities for career growth and mentorship in a high-impact, innovative environment.
Supportive, collaborative, and unique company culture with diverse interests and teams.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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