💰 $100,000 - $150,000 🌍 United States of America 📅 07/05/2023
Apply##### Job Description :
**Job Summary:**
Our Enterprise Analytics team is searching for data engineers who can
contribute to our mission of expanding access to high quality, cost-effective
health care and equipping our members with information and tools so they can
make the best health care decisions for themselves and their families.
Enterprise Analytics applies data science and machine learning to make
healthcare more cost-effective and to improve outcomes for our members. We
analyze a variety of structured and unstructured data, and apply state-of-the-
art computational methods to add value.
**Responsibilities:**
This position is responsible for ensuring data quality, creation of new data
pipelines, optimization and management of existing data pipelines, ingestion
and curation of data sources for analytical purposes, and transformations of
structured and unstructured data into formats suitable for machine learning
and advanced analytics. As data science products are operationalized, they
will also work on deployment and making sure products are production-ready and
run smoothly. They will work closely with IT on implementation of data
products where traditional application development support is needed.
**Required Skills:**
Bachelor degree and 5 years of work experience in a computer science,
engineering, or related field OR Masters degree and 4 years of work experience
in a computer science, engineering, or related field OR Ph.D. and 2 years of
work experience in a computer science, engineering, or related field
* **SQL and Python**
* **Experience with Git version control**
* **Shell Scripting**
* **Development of clean, readable, and easy to support Python code.**
* **Provide reliable data access patterns for our team’s modeling efforts, and to contribute to tooling used enterprise-wide.**
* **Contributing to code base quality by maintaining these standards with code reviews.**
* **Experience with Docker or similar system for packaging Python.**
* **A track record of independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products.**
Must demonstrate proficiency in at least four and mastery in one of the
following six areas:
* **Data analysis and SQL and relational-style query languages**
* **Data pipelining and ETL**
* **Python coding**
* **Working with semi structured and unstructured data**
* **Distributed computing**
* **Understanding of healthcare.**
#### **Preferred Skills:**
* **Customer-focused.**
* **Interpersonal, verbal and written communication skills.**
* **Experience with Jenkins**
* **Cloud computing frameworks such as AWS, Azure and GCP.**
* **Tools for source code management and continuous integration.**
* **Methods for analytical data preprocessing (including missing value imputation, scaling and feature engineering).**
**#LI-Hybrid**
**We encourage people of all backgrounds and experiences to apply.
Even if you don’t meet every listed qualification, apply anyway - you might
have qualifications we haven’t even thought of yet.**
**Are you being referred to one of our roles? If so, ask your connection at
HCSC about our Employee Referral process!**
# **HCSC Employment Statement:**
HCSC is committed to diversity in the workplace and to providing equal
opportunity and affirmative action to employees and applicants. We are an
Equal Opportunity Employment / Affirmative Action employer dedicated to
workforce diversity and a drug-free and smoke-free workplace. Drug screening
and background investigation are required, as allowed by law. All qualified
applicants will receive consideration for employment without regard to race,
color, religion, sex, sexual orientation, gender identity, national origin,
disability, or protected veteran status.
