Data Engineer

Unlock Health

. Develop, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python .

Posted 10/23/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing data pipelines using Snowflake, Google BigQuery, SQL, and Python, while ensuring data quality and reliability through effective validation and monitoring practices. Collaborates with cross-functional teams to deliver analytics-ready datasets and improve processing efficiency.

Highest-signal resume keywords

Data EngineeringSQL DevelopmentSnowflakeGoogle BigQueryPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSQLPythonData ModelingETL/ELTData Quality PracticesAutomationData TransformationAPI IntegrationTroubleshooting

Soft Skills

Analytical SkillsCommunicationProblem-SolvingCollaboration

Tools & Technologies

SnowflakeGoogle BigQueryDbtFivetranSupermetricsAWSGoogle CloudChatGPTClaude

Industry Keywords

Data EngineeringAnalytics EngineeringData IntegrationCloud ServicesData Quality

Tech Stack

Tools & technologies

AWSBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Develop, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python
Ingest and transform data from APIs, databases, cloud storage, marketing platforms, and third-party sources
Build reusable data models and transformation workflows using SQL, dbt, and established engineering practices
Implement data validation, quality checks, monitoring, and troubleshooting for reliable delivery
Automate manual processes and improve pipeline performance, scalability, and maintainability
Use Fivetran, Supermetrics, and cloud services for data integration when appropriate
Use ChatGPT, Claude, or similar AI tools for development, debugging, testing, and documentation, validating outputs for accuracy and security
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets
Deliver reliable, automated, and well-documented data pipelines
Improve data quality, processing efficiency, and platform reliability
Build reusable solutions that reduce manual maintenance
Collaborate effectively with technical and business teams

Requirements

What you’ll need

Applicants must reside in the United States
Must be legally authorized to work in the United States
2+ years of hands-on experience in data engineering, analytics engineering, or a related technical role
Strong SQL skills and experience developing and supporting production data pipelines
Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms
Working knowledge of Python for data processing, automation, and API integrations
Familiarity with dbt or similar data transformation frameworks
Experience with AWS and/or Google Cloud environments
Understanding of data modeling, ETL/ELT, Git, and data quality practices
Strong analytical, troubleshooting, communication, and problem-solving skills
Bachelor’s degree in a related field or equivalent practical experience

Benefits

Comp & perks

Health, dental, and vision benefit packages
Company-paid life insurance
Company-paid short-term disability insurance
Company-paid long-term disability insurance
FSA/HSA options
401(k) with company match
Flexible paid time off
Paid parental leave
Hybrid and remote schedules
Employee assistance program
Referral programs