Analytics Data Engineer supporting IHIE's data roadmap by designing pipelines and optimizing datasets. Requires collaboration with teams to enhance healthcare data analytics in Indiana.
Responsibilities
Collaborate with cross-functional teams to understand business requirements and recommend data solutions that address key challenges and opportunities.
Design, develop, and optimize PL/SQL packages, procedures, functions, and bulk-processing routines.
Utilize advanced analytics techniques and tools to analyze large datasets, identify trends, patterns, and correlations, and derive actionable insights.
Identify data quality issues related to clinical transactions, terminology mappings, and source system variations and collaborate with cross-functional teams to remediate.
Develop interactive dashboards, visualizations, and reports to communicate findings and insights effectively to stakeholders at all levels of the organization.
Directly engage or oversee data projects with customers or partners, including data onboarding, data exports, reports, dashboards, and visualizations.
Provide data expertise and guidance, as needed, for new business development opportunities.
Maintain a strong understanding of IHIE’s data flows, clinical data structures, and product ecosystem.
Requirements
Bachelor’s or advanced degree in computer science, engineering, analytics, or a related field
Proven experience (5+ years) working with Oracle 12c/19c (or newer) in a production environment (for the mid-level/II data engineer)
Advanced-level SQL and PL/SQL, including: Packages, procedures, triggers, functions, collections, bulk operations, Error handing and logging frameworks
Proven experience (8+ years) working with Oracle 12c/19c (or newer) in a production environment (for the senior-level/III data engineer)
Expert-level SQL and PL/SQL, including: Packages, procedures, triggers, functions, collections, bulk operations, Error handing and logging frameworks
Experience designing data models and staging structures for high-volume, heterogeneous healthcare data
Experience (3+ years) working with healthcare data is required
Demonstrated experience with visualization tools (Tableau or similar) and reporting tools
Excellent analytical, problem-solving, and critical-thinking skills, with a keen attention to detail and a commitment to delivering high-quality results
Strong communication and collaboration skills, with the ability to effectively communicate technical concepts and insights to both technical and non-technical stakeholders
Self-motivated, proactive, and adaptable, with a passion for learning and staying abreast of the latest developments in data analytics and technology
Familiarity with HL7, C-CDA, FHIR, USCDI, and other healthcare formats and standards
Familiarity with clinical terminologies and ontologies like LOINC, ICD-10-CM/PCS, SNOMED-CT, RxNorm, etc.
Preferred: Ability to read a variety of programming languages (Java, JavaScript, Python, etc.)
Preferred: Experience with EDI/claims data (837/835)
Preferred: Experience with IHIE data flows, INPC, CareWeb, or other HIE-related systems
Preferred: Experience supporting customer-facing data products
Benefits
medical/dental/vision
401(k) matching
20 days PTO your first year plus 9 company paid holidays
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