Information Technology Specialist I - Data Engineering Specialization

Salary Range: $9,888.12 - $14,109.50

SUMMARY

The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making and optimize resource use across the Los Angeles County Department of Health Services (DHS).

The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery.

The unit also ensures data integrity, security, and regulatory compliance.

ESSENTIAL FUNCTIONS


* Design, develop, and optimize scalable data pipelines and workflows for efficient data processing and storage.


* Lead the integration of diverse data sources, ensuring seamless data flow across systems and platforms.


* Collaborate with cross-functional teams to understand business requirements and deliver high-quality, reliable data solutions.


* Mentor junior data engineers, ensuring adherence to best practices, coding standards, and technical excellence.


* Implement automation strategies to streamline data workflows and improve performance, reliability, and scalability.


* Ensure compliance with data governance, privacy, and security regulations while maintaining data integrity.


* Experience with data visualization tools and their integration with data engineering solutions (e.g., Tableau, Power BI).


* Experience with machine learning concepts and their application in data engineering.

JOB QUALIFICATIONS

The ideal candidate for the Information Technology Specialist I – Data Engineering Specialization should possess 7+ years of advanced technical expertise in cloud infrastructure, data engineering, and distributed computing, with a focus on building scalable and reliable data architectures.

The Information Technology Specialist I – Data Engineering Specialization is responsible for managing complex data pipelines, automating data workflows, and ensuring high-performance data storage and retrieval on cloud platforms.

The role involves close collaboration with data scientists, software engineers, and business stakeholders to deliver data-driven solutions that align with organizational goals.

They should have experience leading data-driven initiatives, developing strategies, and managing cross-functional teams to deliver actionable insights that support enterprise goals.

The candidate should be proficient in advanced analytics tools and technologies, with a deep understanding of data governance, security, and compliance.

Strong leadership, communication, and problem-solving skills are essential to drive collaboration across departments, influence decision-making, and ensure alignment with organizational priorities.

Education/Experience


* Bachelor's degree or higher from an accredited institution in Computer Science, Information Technology/Systems or a closely related quantitative field.


* 7+ years of hands-on experience in data engineering, with a proven track record of designing and implementing...