Senior Data Engineer, VEDA Data Solutions

Salary not provided

SQL

AWS

TypeScript

JavaScript

Python

Airflow

Spark

NumPy

Pandas

RDS

DynamoDB

Mid and Senior level

Remote from US

More information about location

Helping healthcare payers and networks lower costs

Job no longer available

Helping healthcare payers and networks lower costs

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsSaaSMedTech

Job no longer available

Salary not provided

SQL

AWS

TypeScript

JavaScript

Python

Airflow

Spark

NumPy

Pandas

RDS

DynamoDB

Mid and Senior level

Remote from US

More information about location

101-200 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechAnalyticsSaaSMedTech

Company mission

To accelerate patients’ ability to access the care they need, reduce financial loss in the healthcare system, and create efficiencies that drive healthcare innovation.

Job

Company

Role

Who you are

You are Self-motivated, driven to continue learning
You are proficient in shipping production Python and SQL code
You have contributed to hiring, interviewing and training peer and junior engineers
You recognize what it takes to add value as a member of high-performing engineering teams. You can identify key success factors, inspire a culture of learning and knowledge sharing, and proactively intervene when goals are not met
You have a background in product development, and a love for wrangling data and delivering solutions to business problems on a fast-paced team
You have the most fun when you get to share ideas and solve complex problems by applying excellent organizational skills and collaborative values
You’re comfortable working throughout the Software Development Lifecycle: refining requirements, designing solutions, testing changes, and delivering in collaboration with Engineering Management, Product, and Customer-facing teams
6+ years of experience shipping production python code
6+ years of professional experience working in a developer role (devops or similar) that heavily involves high-frequency, customer-related development
Database design and data modeling experience including performance optimization
Experience working in report development tools like tableau, powerBI
Experience working in a variety of data stores (sql and no-sql) and file formats
Writing automated tests
Using infrastructure as code, CICD pipelines, containerization technologies
Supporting, designing, building, and maintaining high volume/high frequency data pipelines for large scale, complex data sets
Working with event-driven and/or microservice ecosystems
Maintaining, expanding and evolving legacy code and frameworks

Desirable

Designing applications that make use of AWS services including Lambda, S3, Glue, RDS, DynamoDB, ECS, EMR, Data Lake Formation
ETL and orchestration engines including Spark, airflow, Informatica
Building production applications with Javascript or Typescript
Python data science libraries like Pandas, NumPy, Matplotlib; familiarity with these is appreciated but the focus of this work is backend, not data science/model development
Working in highly regulated industries like finance, health care or defense

What the job involves

This Data Engineer will report to the Technical Engineering Manager for the Quantym team. You will be a trusted contributor to the design of our data pipeline and application architecture, keeping security, cost, & performance in mind
You will work within a cross-disciplinary team of data engineers, front end designers, data scientists, and cloud architects throughout all stages of development - from brainstorming to coding to ongoing support
As a Data Engineer on the team, you will help move our software development practices forward by guiding others on design and best practices
You'll mentor other engineers, conduct code reviews, and help write technical requirements across product-driven teams

Our take

Since the No Surprises Act went into effect in January 2022, efficient healthcare data processing and sharing is more essential than ever. However, data is often manually inputted from spreadsheets into various platforms and technology systems, leaving a higher margin for errors and costing up to $1 trillion in annual administrative costs.

Veda Data automates these complex data processes, using purpose-built AI and machine learning tools, effectively cutting down superfluous administrative costs and wasted time across the healthcare industry.

Despite going up against providers such as IBM, UnitedHealth Group/Optum, and Cerner, Veda has established itself as one of the top market providers, supporting some of the country’s largest health insurance companies.

Veda's Oak HC/FT-led funding has allowed it to expand its go-to-market capabilities and customer service teams. The company has taken significant steps toward growth as it works to streamline healthcare administration processes.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

1% employee growth in 12 months

Glassdoor (3)

Company

Funding (last 2 of 5 rounds)

Jul 2021

$45m

SERIES B

Jan 2020

$5m

SERIES A

Total funding: $52.2m

Company benefits

100% Paid Health Insurance
Remote Work Environment
Generous PTO
401(k) Matching
Stock Options
Professional Development

Company HQ

Madison, WI

Leadership

Meghan Gaffney

(CEO & Co-Founder)

Has worked for numerous political fundraising firms, most notably MGB Development (Principal), The Dover Group (Director of Political Operations), and Holden for Governor. Was the Finance Director for both the Nevada State Democratic Party, Democratic Congressional Campaign Commits (West Region), Hackett for Congress, and Nancy Farmer for US Senate (Deputy).

Dr. Bob Linder

(CTO & Co-Founder)

Worked as a Senior Data Scientist at Earthling Interactive. Received their PhD in Physics at Rutgers University, where they also worked as a Graduate Research Assistant. Received their BS in Mathematics & Physics from the University of Wisconsin-Madison, where they worked as a Research Assistant, and did their Postdoc Research in Astrophysics and Machine Learning.

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