SemanticBits is looking for a talented Data Engineer who is eager to apply computer science, software engineering, databases, and distributed/parallel processing frameworks to prepare big data for the use of data analysts and data scientists. If you have experience with Spark and Python and want your work to contribute to systems that collect healthcare data used by hundreds of thousands of daily users, we want to (virtually) meet you!

You will work on projects that support the Centers for Medicare and Medicaid Services (CMS) as we develop a next-generation analytics and reporting system that directly impacts healthcare quality. You will use Spark to build data processing pipelines that derive information from large sets of government data. You will be the go-to on your team for Spark, the Spark Engine, and the Spark Dataframe API. We are a collaborative company, so we want you to use your knowledge of Spark to teach others, inform design decisions, and debug runtime problems.

Tools and Technologies:

Python
Postgres
Redshift
Apache NiFi
Airflow
Express
AWS EMR
Looker
Mongo
Use of BI tools & AWS resources

Responsibilities:

Write unit and integration tests for all data processing code
Work with DevOps engineers on CI, CD, and IaC
Read specs and translate them into code and design documents
Perform code reviews and develop processes for improving code quality

Qualifications:

Experience with Agile methodology, using test-driven development.
Excellent command of written and spoken English
Candidate must reside in the United States
Bachelor's degree required, strong preference for Computer Science field of study
Flexible and willing to accept a change in priorities as necessary

Preferred Qualifications:

Experience working in the healthcare industry with PHI/PII
Federal Government contracting work experience
Prior experience working remotely full-time

Summary
Company name: SemanticBits
Remote job title: Senior Data Engineer (Python) - Remote at SemanticBits () (allows remote)
Job tags: spark, python, machine learning