or apply directly on H1's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 79 days H1's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- Yes 63% of H1's roles list one
- Ghost-job risk at H1
- high 17 stale, 0 reposted of 19 open
- Hiring momentum
- 35 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from H1's own lever board since 2026-08-04. Full hiring picture for H1.
About this role
As a Staff Data Engineer on the Data Lake team at H1, you will be responsible for shaping the architecture and scalability of the core data platform. Your role involves building and optimizing distributed ETL/ELT pipelines, ensuring data quality, and mentoring a team of engineers. You will also collaborate with various teams to enhance data delivery and support production operations.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
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 H1 as an employer.
What you need
- 8+ years of experience in data engineering, software engineering, or related fields
- Strong proficiency in Python (PySpark), Java, Scala, or similar programming languages
- Advanced SQL expertise, including performance tuning and optimization across large datasets
- Deep experience with Apache Spark and cloud-native big data platforms, preferably within AWS environments
- Experience designing and scaling modern cloud-native data lake architectures and large-scale ingestion frameworks
- Experience with orchestration and workflow management tools such as Argo, Airflow, or similar technologies
Nice to have
- Experience with large-scale data cleaning, parsing, normalization, and validation workflows
- Experience working with healthcare, life sciences, publication, or large-scale entity-resolution datasets
- Exposure to ML/AI-driven data enrichment, parsing, or validation workflows
- Experience using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development while maintaining quality
What you get
- Full suite of health insurance options
- Generous paid time off
- Pre-planned company-wide wellness holidays
- Retirement options
- Health & charitable donation stipends
- Impactful Business Resource Groups
Worth weighing
- No remote work mentioned, but flexibility is noted
- Role involves significant technical leadership responsibilities
- In-person final interview required, which may involve travel
Summarised from H1's posting. Read the full original.
Listed by H1 on their lever job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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