Senior Data Engineer – Cloud Data Pipelines for Biotech

Zifo; Raleigh (NC); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Vacation

Medical insurance

Dental insurance

Vision insurance

401k with company matching

Life insurance

Flexible spending accounts

Job summary

Zifo is seeking motivated data engineers to join the Scientific Data Foundation team in North America, focusing on building scalable data pipelines, deploying cloud-based data infrastructure, and enabling data-driven decisions for pharma/biotech clients.

You will develop analytics/visualization capabilities, work with tools like Snowflake, Databricks, Kafka, and BI viz platforms, and help shape Zifo US Data Science offerings while collaborating with clients and partners.

Qualifications

• Bachelor's or Master's degree in data engineering / computer science or related field
• Experience with scientific informatics solutions OR background in biological science, chemistry, health sciences OR an experience working in the life or health science industry
• Minimum 5+ years of experience in cloud computing platforms like AWS, Azure, and Google Cloud Platform (GCP) for deploying and managing data infrastructure in the cloud.
• Experience in data focused solutions such as Snowflake, Databricks, Kafka, Cloudera, Knime, Airflow, etc.
• Experience with AI/ML & data science libraries like Scikit-Learn, TensorFlow, PyTorch, HuggingFace, etc. for preparing data for downstream AI/ML applications
• Familiarity with data visualization solution like Tableau, Power Bi and D3.js
• Data engineering related certification from cloud platform like Azure/AWS/Cloudera
• Customer centricity to deliver at the highest standards and elevate customer experience.

Responsibilities

• Identify and analyze business needs to determine data related requirements,
• Clean, transform, and organize big data for analysis,
• Conduct data analysis to identify trends, patterns, and insights
• Develop data visualization tools to communicate insights
• Provide consulting inputs for guidelines, design ideas, standards, & best practices
• Help stakeholders to estimate, plan, and prioritize data engineering efforts
• Build relationship with clients, internal and partners' leadership team, and
• Help grow and develop Zifo US Data Science business function.

Skills

Python

Spark

Java

Scala

SQL

NoSQL

MongoDB

Cassandra

HBase

YAML

JSON

AI/ML concepts

Cloud architecture

Tableau

Power BI

D3.js

Tableau/Power BI/D3.js

Education

Bachelor's or Master's degree in data engineering / computer science

Science/health sciences background

Tools

Snowflake

Databricks

Kafka

Cloudera

Knime

Airflow

Scikit-Learn

TensorFlow

PyTorch

HuggingFace

Job description

Zifo is seeking motivated data engineers to join the Scientific Data Foundation team in North America, focusing on building scalable data pipelines, deploying cloud-based data infrastructure, and enabling data-driven decisions for pharma/biotech clients.

You will develop analytics/visualization capabilities, work with tools like Snowflake, Databricks, Kafka, and BI viz platforms, and help shape Zifo US Data Science offerings while collaborating with clients and partners.