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Sr Data Engineer - Remote

Salary

$89k - $176k

Min Experience

4 years

Location

remote, san antonio, tx

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Opportunities at WellMed, part of the Optum family of businesses. We believe all patients are entitled to the highest level of medical care. Here, you will join a team who shares your passion for helping people achieve better health. With opportunities for physicians, clinical staff and non-patient-facing roles, you can make a difference with us as you discover the meaning behind Caring. Connecting. Growing together. We want to achieve more in our mission of health care, and so we have to be really smart about the business of health care. At Optum, we're changing the landscape of our industry. You will put your Data Engineering skills to work as you empower business partners and team members improve healthcare delivery. You will be part of newly formed team in our Dublin office that is focused on developing a new, cutting-edge big-data analytic platform and that will support data pipelines that ultimately improve health outcomes for our members. You will be responsible for the integration of multiple complex data sources into our data platform with a mix of different platforms (i.e. Kubernetes, Hadoop) and various data applications (i.e. Spark, Hive, HBase, Airflow, etc.). You will also work closely with the Data Science and Business Intelligence teams to develop a new, cutting-edge big-data analytic platform and that will support advanced solutions to improve health outcomes for our members. You'll be in the driver's seat on vital projects that have strategic importance to our mission of helping people live healthier lives. Yes, we share a mission that inspires. And we need your organizational talents and business discipline to help fuel that mission. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Design and build data pipelines (mostly in Spark) to process terabytes of data Orchestrate in Airflow the data tasks to run on Kubernetes/Hadoop for the ingestion, processing, and cleaning of data Design and build best in class processes to clean and standardize data Troubleshoot production issues in our Elastic Environment Tuning and optimizing data processes Modelling of big volume datasets to maximize performance for our Business Intelligence and Data Science teams

About the company

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Skills

data engineering
apache hadoop
modeling
business intelligence
data science
computer science
agile
scrum
writing
sql
extract
transform
load