Principal Data Engineer

Ideal candidate attributes:

• Have agency: feel empowered to influence outcomes rather than being passive.
• Open‑minded, curious, and resourceful.
• Passionate about staying current with modern technologies.
• Solve problems systematically and transparently.
• Share ideas, solicit and integrate feedback, design and solve collaboratively.
• Take a software engineering approach and demonstrate automation and security mindsets.

• Understand user needs and solve problems related to database and schema design, ETL pipelines, APIs, and microservice design.
• Design, engineer, and operate robust, secure, and maintainable data architectures, pipelines, and services.
• Collaborate with data stewards, database administrators, platform engineers, developers, and site‑reliability engineers to develop and launch solutions for data ingestion, validation, quality control, integration, storage, management, and delivery.
• Transform business objectives into technical designs, applications, and solutions while working independently with clients.
• Participate in and contribute to the design of agile teams and ceremonies.
• Stay current on technology trends by learning and evaluating modern technologies.
• Advise business clients on technical capabilities as a data service provider or expert.
• Participate in code reviews and contribute to continuous improvements of the team’s Dev Ops processes.
• Provide mentorship to junior team members and strategic input to senior management across business and technology units.
• Demonstrate self‑motivation and a strong drive for learning and self‑improvement within an engineering‑focused delivery team.

• Bachelor’s degree in a technical field or equivalent practical experience.
• Deep expertise in designing and implementing all stages of the data lifecycle using Snowflake as the core platform.
• 10+ years of experience with ETL/ELT pipelines, data governance, data quality controls, data version control, metadata management, and reporting analytics using cloud data technologies.
• Experience with messaging and streaming platforms such as Kafka, RabbitMQ, or cloud‑based messaging technologies.
• Experience with Python or an equivalent dynamic language.
• Experience with C#, Java, Type Script, or an equivalent static language.
• Experience with relational and non‑relational databases and related schema design and development.
• Working knowledge of observability and Dev Ops concepts, tools, and continuous delivery pipelines.
• Deep understanding of cybersecurity best practices and a demonstrated ability to integrate them into development activities.
• Interest and ability to learn other coding languages as needed.
• Advanced degree in a technical field or equivalent engineering experience (preferred).
• Experience with agile/scrum methodologies.
• Testing competencies with Test‑Driven Development and Behavior‑Driven Development.
• Experience with any of the following:
  Redis, PostgreSQL, MongoDB, SQL Server, DBT, Five Tran, Num Py, Sci Py, Pandas, Airflow, Kafka, AWS, serverless/microservice architecture.

Dimensional offers a variety of programs to support you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.

It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to ... (complete statement omitted for brevity).