Data Engineer @ Arkana Laboratories

Data & Analytics (1)

Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most.

This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field.

Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong.

About the position: As the Data Engineer will play a critical role in building and maintaining the technical foundation for our next-generation data platform. This position involves collaborating with our analytics team and backend developers to design, implement, and optimize data pipelines, data warehouse architecture, and integration processes that support analytics excellence. The engineer will work directly with structured and unstructured data sources to enable efficient reporting, analytics, and future machine learning capabilities, with special focus on our upcoming large external dataset integration project.

What you'll do:

Design, build, and maintain robust data pipelines to process structured and unstructured data from multiple sources
Develop and manage comprehensive ETL/ELT workflows across various data systems using Azure-based tools and services
Architect and accelerate the development of our data warehouse, focusing on scalable and efficient designs
Implement data quality controls, validation processes, and lineage tracking to ensure data integrity
Design and optimize data models that enable efficient analytics and reporting capabilities
Develop data hygiene processes and identity resolution services for our upcoming large external dataset integration
Collaborate with analytics team to translate business requirements into technical data specifications
Partner with backend developers to ensure proper data flow between applications and data warehouse
Implement and maintain data security measures and access controls to protect sensitive information
Monitor data system performance and implement alerting mechanisms for critical data processing workflows
Troubleshoot and resolve complex technical issues related to data processing and integration
Develop and maintain technical documentation for data models, integration processes, and data dictionaries
Optimize data processing performance and scalability to handle growing volumes of data
Implement backup, disaster recovery, and data retention policies for critical data systems
Research and evaluate new technologies and tools to improve data processing capabilities and efficiency
Other duties as assigned

You should have:

Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field required; advanced degree preferred

Experience: 2-5+ years of experience in data engineering with strong proficiency in Python and SQL for data processing and analysis

Other Requirements:

Extensive experience with Azure data services (Azure SQL, Azure Synapse Analytics, Azure Data Factory)
Demonstrated success in data warehouse design, implementation, and optimization
Experience with data orchestration and transformation tools such as Azure Data Factory, SSIS, dbt, or similar platforms
Strong knowledge of data modeling techniques and dimensional design principles
Experience with data quality management, master data concepts, and identity resolution
Experience with version control systems (Git) and collaborative software development practices
Experience with large-scale data integration projects preferred
Strong analytical and troubleshooting skills for complex data issues
Ability to work independently while collaborating effectively with cross-functional teams
Knowledge of data governance frameworks and best practices preferred
Experience in healthcare data domains is a plus

Schedule: Monday-Friday 8am-5pm

This is an onsite position at our main office in Little Rock, Arkansas, applicants must live within 1 hour drive of the main office in Little Rock.

What we offer: We know that health is more than doctor visits and life is more than work. We work hard at Arkana but in turn provide competitive salaries and generous benefit offerings.

Specifically, we offer the following benefits to full-time employees:

Competitive salary
Generous paid time off and Paid Holidays
Minimal cost health insurance for you and affordable options for your family
401(k) with immediate eligibility and match
Company-paid life insurance
Company-paid long term disability coverage
Affordable vision and dental plans
Flexible Spending Account or Health Savings Account availability
Wellness plan and complimentary yoga classes
Monthly in-office massages and employer-sponsored lunches

Please see Careers for further information.

Data Engineer

Arkana Laboratories

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