About this role
Who we are
DigiCert is a global leader in intelligent trust, helping organizations protect the digital interactions people rely on every day. From websites and cloud services to connected devices and critical systems, we make sure digital experiences are secure, private, and authentic.
Our AI-powered DigiCert ONE platform brings together certificates, DNS, and lifecycle management to help organizations stay ahead of risk as technology and threats evolve. Trusted by more than 100,000 organizations—including 90% of the Fortune 500—DigiCert helps businesses operate with confidence today while preparing for what’s next, including a quantum-safe future.
Principal Data Engineer (DigiCert, Inc., Lehi, UT)
Architect and contribute to the design of distributed data processing systems, focusing on modularity, reusability, and fault tolerance. Collaborate on design reviews and provide input into architectural decisions to help evolve the data platform and support new analytics and machine learning (ML) use cases. Develop framework-level components for data quality, observability, and recovery, enabling self-service capabilities across teams. Standardize and implement patterns for incremental data processing, ensuring consistency, idempotency, and scalability. Design and implement schema evolution strategies, metadata-driven processing, and lineage tracking to support auditability and regulatory requirements. Optimize data storage formats, partitioning strategies, and compute resource utilization for cost-effective performance at scale. Contribute to the technical roadmap by evaluating new technologies and proposing architectural improvements aligned with long-term platform goals. Collaborate with product, compliance, and platform teams to design reusable data interfaces and contract-driven ingestion frameworks. Salary: $147,000 - $185,000 per year.
LOCATION: DigiCert, Inc.
2801 North Thanksgiving Way
Suite 500
Lehi, UT 84043
MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Statistics, Informatics, Information Systems, Mechanical Engineering, Computer Engineering, or a related field, plus 5 years of professional experience as a Data Engineer, Data Platform Engineer, Machine Learning Engineer, or any occupation/position/job title working in in hybrid deployments.
Must also have the following special skills: 4 years of professional experience designing, building and optimizing large scale data pipelines; 4 years of professional experience utilizing big data tools including Spark, Kafka, PySpark, and Databricks; 4 years of professional experience utilizing pipeline and workflow management tools including Airflow, and working with stream-processing systems including Spark-streaming; 4 years of professional experience working with object-oriented and object function scripting languages including Python and continuous integration and continuous delivery (CI/CD) including Jenkins; 4 years of professional experience building monitoring dashboards including; Grafana; 4 years of professional experience performing change data capture (CDC) streaming for NoSQL databases; 4 years of professional experience performing root cause analysis and processes to answer business questions and identify opportunities for improvement; and 4 years of professional experience with message queuing, stream processing, and high scalable data stores.
CONTACT: Submit resume online at: https://www.digicert.com/careers; or via email to kayley.king@digicert.com. Must specify job code (ABDA).
LINK TO EMPLOYEE REFERRAL PROGRAM:
This position is eligible for incentives under the Employee Referral Program.
DigiCert offers a competitive benefits package for all of our full-time employees.
DigiCert is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, DigiCert prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified person with disabilities, and protected veterans are strongly encouraged to apply.