Data Engineer
Data Engineer
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$ 150000 - 170000
1 Vacancy
Job Description
The California Emerging Infections Program (CEIP) is a program administered by Heluna Health. It is one of twelve EIP sites nationwide which serve as a national resource for surveillance prevention and control of emerging infectious diseases. CEIP functions under a cooperative agreement with the Centers for Disease Control and Prevention (CDC) and is a collaborative effort involving the California Department of Public Health (CDPH) the University of California Berkeley School of Public Health and several local health departments.
Under general direction from the CEIP Data Modernization Initiative (DMI) Manager the Data Engineer functions independently and will use a high degree of technical expertise to design build and maintain data infrastructure for CEIP. This position involves the development and implementation of CEIPs data modernization initiative including information systems and data management practices applied to clinical information. Works closely with CEIP CDPH and CDC deliver a transition plan and architecture needed for migrating portions of CEIPs onpremises data infrastructure to a cloudbased platform and performs duties related to managing that cloudbased data infrastructure. The Data Engineer will collaborate with data content experts analysts informatics specialists IT staff and other organization staff to design and implement proposed solutions and architectures that meet the needs of CEIP. This position requires strong programming (SQL R Python and/or SAS) and informatics knowledge to support database design and data quality assurance and quality improvement projects.
The applicant must submit a resume and cover letter for consideration.
The salary for this role is $150000 $170000 based on experience.
Employment is provided by Heluna Health.
ESSENTIAL FUNCTIONS
- Learn and assess cloudbased data lake and data warehouse infrastructure and functionalities.
- Create and program data pipelines between current CEIP CDPH CDC and other systems and the new infrastructure.
- Collaborate with informatics specialists and other IT staff to understand data needs and requirements and ensure that the proposed data infrastructure supports the organizations security and privacy standards.
- Partner with CDPH and CDC to outline a comprehensive transition plan that meets the needs of all teams without sacrificing necessary functionality.
- Develop the foundational framework for establishing an organizationwide data lake to optimize data pipelines infrastructure and workflows for performance and scalability.
- Identify specific deliverables and expectations for the transition by set scheduled dates and timelines.
- Knowledge of industry trends best practices and emerging technologies in data engineering and incorporating the trends into the organizations data infrastructure.
- Provide technical guidance to other staff.
- Communicate effectively with partners at all levels of the organization to gather requirements provide updates and present findings.
- Prepare presentations communications materials technical documentation training demonstrations and other related materials
JOB QUALIFICATIONS
Education/Experience
- Masters Degree MPH or equivalent similar degree or experience and at least three years of relevant professional experience OR a bachelors degree in computer science Information Technology Data Science or a related field and five years of relevant professional experience.
- Proficiency in programming languages commonly used in data engineering such as Python Java Scala SQL or R. Candidate should be able to implement data automations within existing frameworks as opposed to writing one off scripts.
- Experience with Cloud Services such as Azure or AWS.
- Strong understanding of and experience with cloudbased warehouses/data lakes including Snowflake and Databricks.
- Experience regarding engineering best practices such as source control automated testing continuous integration and deployment and quality checks.
- Expertise in data modeling ETL (Extract Transform Load) processes and data integration techniques.
- Familiarity with agile development methodologies software design patterns and best practices.
Certificates/Licenses/Clearances
- SnoPro Advanced: Data Engineer or SnoPro Advanced: Architect certification preferred.
Other Skills Knowledge and Abilities
- Proficiency with REDCap preferred.
- Excellent verbal and written communication skills including the ability to convey technical concepts to nontechnical partners effectively.
- Flexibility to adapt to evolving project requirements and priorities.
- Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners.
- Proficiency in Microsoft Office.
- Detail oriented with proven ability to effectively manage time see projects through to completion organize competing priorities and effectively address complex urgent issues as they arise.
- Demonstrated proficiency relating to logical data design data warehouse design data integration and data modeling.
- Knowledge of applicable laws statues and policies regarding health information including security privacy and management of confidential data.
- Experience working in local or state public health departments preferred.
PHYSICAL DEMANDS
Stand: Frequently
Walk: Frequently
Sit: Frequently
Handling / Fingering: Occasionally
Reach Outward: Occasionally
Reach Above Shoulder: Occasionally
Climb Crawl Kneel Bend: Occasionally
Lift / Carry: Occasionally Up to 10 lbs
Push/Pull: Occasionally Up to 10 lbs
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
In Office RemoteHybrid (Project based in Oakland CA USA)
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.
Employment Type
Full-Time
