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Software Development
Big Data Engineer
@H1
[Hiring] Big Data Engineer @H1
Mar 19, 2025 - H1 is hiring a remote Big Data Engineer. 💸 Salary: $100,000 to $120,000 per year, plus stock options. 📍Location: USA.
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Role Description
As a Data Engineer on the H1DN Team, you will play a key role in building scalable data pipelines and enrichment workflows that transform raw client data into accurate, actionable insights. With minimal guidance, you will focus on data ingestion and enrichment, ensuring seamless integration of client data from diverse sources (CSV, Parquet, JSON, APIs) while tackling challenges related to scalability, data quality, and standardization.
- Develop and enhance processes to enrich raw or partially processed data using established business logic, ensuring it is accurate and ready for product use.
- Build and maintain scalable and reliable data pipelines that support the team’s enrichment workflows.
- Integrate enriched data from core platforms (e.g., CT platform) into broader data systems, applying necessary transformations and aligning with business requirements.
- Contribute to code reviews, holding a high bar for quality and aligning with organizational engineering guidelines.
- Follow development workflows, including coding, testing, deployment, and monitoring, to ensure quality and efficiency.
- Work collaboratively with team members and escalate issues appropriately when challenges arise.
- Contribute to the understanding and execution of tasks with a strong focus on accuracy, scalability, and performance.
Qualifications
- Experience developing and optimizing data workflows, applying business logic for data enrichment, and addressing technical challenges with creative solutions.
- Strong knowledge of building and scaling data infrastructure, including integration with core platforms.
- Experience working with data quality challenges and implementing validation mechanisms.
- Self-motivated with the ability to manage tasks and collaborate effectively within a team.
- Ability to align work with broader organizational goals and contribute to strategic initiatives.
- Proactively identifies potential risks and helps implement solutions early in the project lifecycle.
- Eager to learn, grow, and contribute to a collaborative, high-performing engineering team.
Requirements
- 3+ years of experience in data engineering, specializing in building scalable data pipelines and enrichment processes, with a track record of working with large datasets, including ingestion, transformation, and optimization.
- Proficiency in Spark, Python, and SQL for building scalable data processing pipelines.
- Hands-on experience with Kubernetes for container orchestration and deployment.
- Strong background in AWS, including services such as S3, Lambda, ECS, and RDS for data infrastructure.
- Experience with EMR and Databricks to optimize large-scale data workflows.
- Has an understanding of LLM usage in production.
Benefits
- Full suite of health insurance options, in addition to generous paid time off.
- Pre-planned company-wide wellness holidays.
- Retirement options.
- Health & charitable donation stipends.
- Impactful Business Resource Groups.
- Flexible work hours & the opportunity to work from anywhere.
- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe.
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
$100,000 to $120,000 per year, plus stock options
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Mar 19, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
