Data Engineer (Small, fun team 🤓) @ Validate Health | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
External
0
Data Engineer (Small, fun team 🤓) jobs in United States
64 applicants
company-logo

Validate Health · 4 hours ago

Data Engineer (Small, fun team 🤓)

ftfMaximize your interview chances
ConsultingHealth Care
badNo H1Bnote

Insider Connection @Validate Health

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Build complex data transformations and statistical models using Python, SQL, SAS.
Ingest, transform, clean and augment internal and external data assets.
Automate data pipelines to process patient-level and aggregated public health data.
Leverage an ever evolving range of cloud services, data science libraries and database platforms, such as AWS (EC2, RDS, S3, Lambda, Redshift, Athena, Glue), Databricks/Spark, PostgreSQL, SparkSQL, Python, Pandas, PySpark, Apache Airflow, and DST.
Continuously learn by investigating new technologies and mentor other team members.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLAWSSpark / DatabricksETL/ELTApache AirFlowLinux shell scriptingGitHub / GitDockerMS in Computer ScienceData ScienceStatisticsMathematics

Required

BS or MS in Computer Science, Data Science, Statistics or Mathematics
Hands on experience or non-academic projects with the following:
SQL: Writing complex data transformation queries, stored procedures, and optimizing for performance on large scale data
Spark / Databricks: Writing performant code, parallelizing processing, and automating data pipelines in Databricks or other Spark environments
Python: Leveraging a broad range of Python data science libraries to build and deploy statistical and machine learning models
AWS: Implementing solutions using AWS data oriented services: S3, RDS, Redshift, Glue, EMR, Lambda, EC2/EBS (Alternatively, extensive experience with Azure or GCP)
ETL/ELT: Implementing data processing methodologies used by ETL/ELT tools such as DBT and SSIS
Apache AirFlow and other job orchestration tools
Linux shell scripting
GitHub / Git branch management best practices
Docker configuration, environment management, CI/CD, automated deployment

Benefits

Fully remote team with an environment and company culture that's optimized to provide a fulfilling work experience and career growth opportunities to every team member, regardless the location
Daily whiteboard sessions
Weekly "deep thought" days
Opportunity for continuous personal growth and development through research projects and agile experimentation mindset towards product development
Quarterly personal educational goals and budget
Quarterly individual performance bonus (~10% at start, ~20% after 4 years)
Quarterly company offsite retreats and virtual town halls
Quarterly anonymous leadership feedback and evaluations
Profit sharing bonus (~5%)
Health coverage and 401K
Generous Vacation Policy

Company

Validate Health

twittertwittertwitter
company-logo
Validate Health is a volume-based fee-for-service models to value based care.

Funding

Current Stage
Early Stage

Leadership Team

leader-logo
Andrew M. Webster
Co-Founder & CEO
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot