or apply directly on DigiCert's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days DigiCert's roles stay open a median of 32 days
- Reposted
- No
- Salary listed
- No 1% of DigiCert's roles list one
- Ghost-job risk at DigiCert
- high 25 stale, 2 reposted of 68 open
- Hiring momentum
- 112 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from DigiCert's own greenhouse board since 2026-08-03. Full hiring picture for DigiCert.
About this role
As a Senior Data Engineer - Full Stack at DigiCert, you will design and deliver comprehensive data solutions on Databricks, collaborating closely with both business and technical teams. Your role will involve building and maintaining data products, developing reliable data pipelines, and creating APIs and applications that make data actionable. You will also lead technical design reviews and mentor other engineers while ensuring data quality and governance throughout the product lifecycle.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DigiCert as an employer.
What you need
- 5+ years of experience in data engineering, software engineering, or a related role
- Strong proficiency in SQL, Python, and PySpark
- Hands-on experience with Databricks, Apache Spark, Delta Lake, and Unity Catalog
- Experience designing and supporting streaming or near-real-time data pipelines using Kafka or similar technologies
- Strong understanding of event-driven architecture and data consistency
- Experience delivering full-stack solutions including data pipelines and backend services
Nice to have
- Experience building applications with React or another modern frontend framework
- Familiarity with infrastructure as code and containerization
- Experience supporting AI/ML pipelines or generative AI use cases
- Experience with data observability or platform engineering practices
- Working knowledge of JavaScript or TypeScript
What you get
- Generous time off policies
- Top shelf benefits
- Education, wellness and lifestyle support
Worth weighing
- No salary listed
- Role requires strong collaboration with both business and technical teams, which may involve navigating ambiguity
- Focus on end-to-end data solutions may require a broad skill set across multiple domains
Summarised from DigiCert's posting. Read the full original.
Listed by DigiCert on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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