Data Engineer

Evio

Data Engineer designing and maintaining AWS cloud-native data systems at Evio. Collaborating with product and analytics teams to streamline data processes.

Posted 5/7/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $130,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudETLPostgresPythonSQL

About the role

Key responsibilities & impact

Design and administer data systems: Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow.
Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing.
Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models.
Assemble large, complex data sets that meet functional business requirements.
Stay current with AWS services and recommend suitable tools for specific data engineering tasks.
Develop and support the internal applications using Python, SQL, and Stored Procedures.
Build reliable data processes: Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms.
Automate manual processes and to optimize data delivery and reduce operational friction.
Optimize data pipeline performance: Monitor and tune data pipelines and data storage for performance, cost, and reliability.
Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times.
Lead and collaborate company-wide: Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment.
Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems.
Protect and govern data responsibly: Implement and enforce data security measures and maintain data governance standards and access controls to protect sensitive data.
Ensure compliance with health care data regulations and industry best practices.

Requirements

What you’ll need

Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field.
10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience.
Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow).
Strong Python and SQL experience, including advanced query design and database optimization.
Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required.
Ability to develop subject-matter expertise and partner thoughtfully with business teams.
Trusted partner: reliable to deliver accurate work in a timely manner.
A passion for working with a team to improve how data drives meaningful outcomes.

Benefits

Comp & perks

Great Health Insurance
401K Match
Time Off
Parental Leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringETL processesdata modelingdata architecturePythonSQLstored proceduresdata ingestiondata transformationdatabase optimization

Soft Skills

collaborationtechnical guidancementorshipcommunicationproblem-solvingreliabilitytimelinessteamworksubject-matter expertiseinnovation