Jobgether is looking for a Principal Data Engineer to lead the design, development, and optimization of scalable data systems that power our advanced analytics and AI initiatives. You will architect both batch and real-time data pipelines, collaborate closely with product and AI teams, and influence the overall data strategy.
What You'll Do
- Design, implement, and evolve distributed, cloud-based data infrastructure for batch and real-time workloads.
- Build and maintain scalable data pipelines supporting analytics and AI/ML applications.
- Integrate with third-party e-commerce platforms to expand and enrich the data ecosystem.
- Ensure data reliability, availability, and quality through automated monitoring and auditing.
- Collaborate with engineering, AI, and product teams to deliver data solutions that meet business-critical needs.
- Mentor and support data engineers, promoting coding standards, best practices, and professional growth.
- Drive innovation by identifying opportunities for improved data processing and architecture.
What We're Looking For
- 10+ years of experience in software development and data engineering with ownership of production-grade systems.
- Deep expertise in PySpark and scaling Spark in production environments (Databricks, EMR, etc.).
- Strong knowledge of distributed computing and modern data modeling for scalable systems.
- Proficiency in Python and implementation of software engineering best practices.
- Hands-on experience with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases.
- Excellent problem-solving skills and ability to communicate effectively across teams.
- Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
- Experience mentoring and influencing cross-functional teams.
Nice to Have
- Familiarity with MLOps pipelines and integrating ML models into data workflows.
- Previous experience in early-stage, high-growth environments.
Technical Stack
- PySpark, Databricks, EMR
- Python
- PostgreSQL, MySQL, MongoDB, DynamoDB, Cassandra
Benefits & Compensation
- Compensation range: $235,000–$285,000 depending on experience and skills.
- Flexible remote work within the United States.
- Generous paid time off and holidays.
- Comprehensive medical, dental, and vision coverage options.
- 401(k) plan and employer match.
- Professional development support, coaching, and mentorship opportunities.
- Employee assistance programs for work-life balance and wellness.
Work Mode
This is a remote position open to candidates anywhere within the United States.
Jobgether is an equal opportunity employer.
