Information Technology Specialist I - Data Engineering Specialization at Public Health Foundation Enterprises, In in Los Angeles, California

Job Description:

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 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 (Extract, Transform, Load) 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.

Certificates/Licenses/Clearances

• Successful clearing through the Live Scan and health clearance processes with the County of Los Angeles.

Other Skills, Knowledge, and Abilities

• 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

PHYSICAL DEMANDS

Stand: Not applicable

Walk: Not applicable

Sit: Frequently

Handling / Fingering: Constantly

Reach Outward: Constantly

Reach Above Shoulder: Not applicable

Climb, Crawl, Kneel, Bend: Not applicable

Lift / Carry: Occasionally - Not applicable

Push/Pull: Occasionally - Not applicable

See: Constantly

Taste/ Smell: Not Applicable

Not Applicable = Not required for essential functions

Occasionally = (0 - 2 hrs/day)

Frequently = (2 - 5 hrs/day)

Constantly = (5+ hrs/day)

WORK ENVIRONMENT

Hybrid

EEOC STATEMENT

It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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