Information Technology Specialist I - Data Engineering Specialization

Position Overview

Salary: $9,888.12 - $14,109.50
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. It also ensures data integrity, security, and regulatory compliance.

Key Responsibilities

• 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.

Required 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. They are responsible for managing complex data pipelines, automating data workflows, and ensuring high-performance data storage and retrieval on cloud platforms, while collaborating closely with data scientists, software engineers, and business stakeholders to deliver data-driven solutions.
• 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 data pipelines and data integration solutions.
• Expertise in programming languages such as Python, Java, or Scala for building data workflows and transformations.
• Extensive experience with relational and non-relational databases (e.g., SQL, NoSQL) and cloud data platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in ETL processes and tools, data modeling, and data architecture best practices.
• Proven experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka).
• Deep understanding of cloud-based data platforms such as AWS, Azure, Google BigQuery, Oracle Cloud Infrastructure, etc.
• Excellent problem-solving skills, with a proactive approach to identifying and resolving data-related issues.
• Successful clearing through the Live Scan process with the County of Los Angeles.

Preferred Qualifications

• Knowledge of JIRA and Smartsheet is a plus.
• Skilled at writing and optimizing Transact-SQL code.
• Experience with data visualization tools like Tableau and PowerBI.