Data Engineer

Staritas• Remote, US,

18d•$120,000 - $130,000•Remote

About The Position

Staritas is seeking a highly motivated Data Engineer to join its growing Technology team. The role designs, builds, and optimizes scalable data solutions supporting healthcare technology platforms and business operations. The Data Engineer works closely with Software Engineering, Product, Analytics, and business stakeholders to ensure data is accurate, secure, accessible, and able to support informed decision-making. The position offers the opportunity to solve complex technical challenges, build modern data architectures, and enable analytics and reporting capabilities. The role operates primarily in a fully remote work environment. It requires remaining stationary for extended periods while working at a desk or workstation, operating standard office equipment, and occasionally moving through a workspace to access files, equipment, and materials. Written and verbal communication is essential. Travel of up to 10% may be required based on business needs. Employees are expected to attend several company gatherings each year, which may last up to one week, with ample notice.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Mathematics, or a related field.
3–5 years of experience in data engineering, data integration, database development, or a related discipline.
Experience designing, developing, and supporting ETL/ELT processes and data pipelines.
Hands-on experience with relational and non-relational databases.
Experience supporting enterprise reporting, analytics, or business intelligence solutions.
Experience working in Agile development environments.
Advanced SQL and database development knowledge.
Experience with ETL/ELT tools, workflow automation, and data orchestration platforms.
Experience with technologies such as Microsoft SQL Server, PostgreSQL, MySQL, Snowflake, Databricks, or similar solutions.
Proficiency in Python, SQL, or other programming languages used for data engineering.
Knowledge of data warehousing, dimensional modeling, and modern data architecture principles.
Understanding of APIs, system integrations, and file-based data exchange methods.
Experience with business intelligence and reporting tools such as Power BI, Tableau, or similar platforms.
Understanding of data security, privacy, and access management practices.
Proficiency with Microsoft 365 applications, including Excel, Word, PowerPoint, and Outlook.
Ability to remain stationary for extended periods while working at a desk or workstation, operate standard office equipment, and occasionally move throughout a workspace.
Effective written and verbal communication skills.

Nice To Haves

Experience within healthcare technology, healthcare analytics, healthcare data, or other regulated industries.
Experience with cloud-based data platforms in Azure, AWS, or Google Cloud.
Experience supporting large-scale data warehousing and analytics environments.
Knowledge of data governance, master data management, and data quality frameworks.
Relevant cloud, data engineering, or database certifications.

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
Build and support data integrations across internal and external systems.
Develop and maintain data warehouses, data marts, and data models to support reporting and analytics.
Ensure the quality, integrity, consistency, and availability of enterprise data assets.
Monitor, troubleshoot, and optimize data pipeline performance and reliability.
Collaborate with software engineers to integrate data solutions into applications and products.
Partner with business and analytics teams to translate data requirements into technical solutions.
Implement data validation, monitoring, and quality assurance processes.
Support data governance, security, privacy, and regulatory compliance initiatives.
Create and maintain technical documentation, data dictionaries, and data flow diagrams.
Evaluate and recommend improvements to data architecture, tools, and processes.
Perform other duties as assigned.