Senior Data Engineer
Confirmed live in the last 24 hours
RVO Health

1,001-5,000 employees

Comprehensive health & wellbeing platform providing information, doctor
Company Overview
RVO Health stands out as a leading health and wellbeing platform in the US, serving nearly 100 million people monthly with medically-backed information and services, including doctor discovery, prescription savings, and virtual coaching programs. Their extensive portfolio, including Healthline Group and Healthgrades, offers a comprehensive suite of resources, from condition-based communities to an ecommerce store for health products, making healthcare more navigable and affordable. Backed by Red Ventures and Optum, RVO Health's commitment to accuracy and accessibility in health support sets a high industry standard.
Energy
Social Impact
Financial Services
Real Estate
Education
Consumer Goods

Company Stage

N/A

Total Funding

N/A

Founded

2022

Headquarters

Charlotte, North Carolina

Growth & Insights
Headcount

6 month growth

4%

1 year growth

18%

2 year growth

27%
Locations
Minneapolis, MN, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Python
Airflow
Git
Apache Spark
AWS
Snowflake
CategoriesNew
Data Engineering
Data Analysis
Data & Analytics
Requirements
  • 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
  • 4+ years of experience in the big data space
  • Experience in translating requirements into technical data solutions on a large scale.
  • 1+ years of experience working on AWS (Kinesis / S3 / RedShift / DMS / Athena ).
  • Able to research and troubleshoot potential issues presented by stakeholders within the data ecosystem.
  • Experience with GitHub and CI/CD processes.
  • Experience with Compute technologies like EMR and Databricks
  • Experience working job orchestration (eg., Airflow / Databricks Workflows)
  • Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc..
  • Strong analytical and interpersonal skills.
  • Passionate, highly motivated, and able to learn quickly.
  • Able to work through ambiguity in a fast-paced, dynamically changing business environment.
  • Ability to manage multiple tasks at the same time with minimal supervision.
Responsibilities
  • Provide technology ownership for data solutions for projects that the team has been tasked with.
  • Work with a cross-functional team of business analysts, architects, engineers, data analysts, and data scientists to form both business and technical requirements.
  • Design and build data pipelines from various data sources to a target data warehouse using batch data load strategies using leading cloud technologies.
  • Conceptualizing and generating infrastructure that allows data to be accessed and analyzed.
  • Documenting database designs that include data models, metadata, ETL specifications and process flows for business data project integrations.
  • Perform periodic code reviews and test plans to ensure data quality and integrity.
  • Provide input into strategies as they drive the team forward with delivery of value and technical acumen.
  • Execute proof of concepts, where appropriate, to help improve our technical processes.