What are the responsibilities and job description for the Data Engineer position at LifeLens Technologies Inc.?
LifeLens Technologies, Inc. is a medical device developer located in Ivyland, PA. We are pioneering innovative, next-generation treatment devices for personal health monitoring.
We are seeking to hire a Data Engineer. In this role, you are proficient in designing, building, and maintaining data-intensive systems that collect, transform, and store data. You have a collaborative mindset and a passion for developing new technology. You will work with stakeholders to understand business needs. You will advise and choose the right technology to fulfill business requirements. You are detail-oriented and goal-driven. You are a capable problem solver with excellent organizational skills and superior verbal and written communication skills.
You will have the opportunity to work on cutting-edge technologies designed to revolutionize wearable health care. Your passion and drive will be rewarded with a competitive salary, benefits, and long-term growth opportunities.
This is a full-time, on-site position.
Responsibilities:
- Design data architecture: Select technologies, write code, and develop storage solutions
- Build data pipelines: Connect systems, databases, and data warehouses to enable data flow.
- Development: Create rules to clean, standardize, and transform data
- Security: Implement security controls and access management policies
- Monitor system performance: Implement monitoring tools, troubleshoot issues and optimize performance
- Collaboration: Work with data scientists, analysts, and business teams to understand needs and deliver solutions
- Document best practices: Create technical designs, workflows, and documentation to share knowledge
Required Skills:
- Experience with SQL(Postgres is a plus) and NoSQL databases(Mongodb, Cassandra, InfluxDB, Clickhouse, ElastichSearch etc) required
- Experience with Data pipeline orchestration tools(Kestra, Airflow etc) required
- Experience with Data pipeline design required
- Experience with Kafka, Kubernetes, Python, Java required
- 10 years of experience in Software Development with at least 7 years acting as a Data Engineer or database administrator required
- Experience in IOT ingestion patterns
- Implementation of data pipelines using Kubernetes-ready workloads
- Experience with real-time analytics frameworks like Flink, Spark
- Experience with Clickhouse
- Experience with Kubeflow
Education:
- Bachelor’s degree or 15 years of experience in total preferred
Benefits:
- Health Insurance
- Dental & Vision Insurance
- Paid Time Off
- 401(k)
- Flextime and occasional work-from-home
