121 applicants

Company

Validate Health · 5 hours ago

Data Engineer (Small, fun team 🤓)

United States

Full-time

Remote

Entry, Mid Level

$70K/yr - $140K/yr

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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