Highmark Health
Senior Analytic Data Engineer – Cloud Data Products & Analytic Enablement
JOB SUMMARY
As an Senior Analytic Data Engineer – Cloud Data Products & Analytic Enablement, you will be instrumental in transforming diverse data sources into actionable intelligence, empowering critical business decisions across our organization and within our application ecosystem.
This pivotal role demands a strong foundation in data engineering principles, combined with a keen focus on analytical engineering to unlock the full potential of our data assets.
You will leverage your deep expertise in Google Cloud Platform (GCP) technologies, including Managed Airflow (Cloud Composer), BigQuery, Cloud Run Functions, DataFlow, DataProc, and DataPlex, to design, build, and optimize scalable data pipelines.
Your work will encompass the entire data lifecycle from ingestion and processing to modeling and orchestration, ensuring the highest standards of data quality, performance, and governance.
A core aspect of this role involves translating complex engineered data into readily consumable, business-ready insights. You will achieve this by developing curated datasets and robust analytical assets.
Success in this position requires exceptional proficiency in SQL and Python, coupled with the ability to strategically partner with diverse stakeholders, translating intricate business requirements into impactful, scalable data products.
ESSENTIAL RESPONSIBILITIES
- Working closely with IT, architect and engineer solutions that provide views for the Analytic Data Warehouse. This would include the working with the proper teams, assisting with the design, building out the design, and providing upkeep for the solution.
- Assemble, test, process, and maintain the Analytic Discovery Platform for the analytics organizations. This will include working to maintain pipelines with key analytic platforms throughout the organization.
- Work with alternative analytic data systems to incorporate them into the operational data flow for the Analytics Teams. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by analytic teams.
- Independently lead functional efforts for assigned projects with limited supervision. This includes the guidance and education of Intermediate contributors within this team. Meet individually with customers for specific projects and attend with Intermediates for support.
- Other duties as assigned.
EDUCATION
Required
- Bachelor's Degree in Computer Systems Analysis, Data Processing, Healthcare Informatics, Management Information Systems, or related field
Substitutions
- None
Preferred
- Master's Degree in Management Information Systems
EXPERIENCE
Required
- 3 - 5 years of Data Analytics experience
Preferred
- 7+ years of experience in designing, developing, and meticulously implementing robust data solutions, encompassing sophisticated structuring and transformation of data from diverse, complex source systems.
- 7+ years of experience in producing high-quality, efficient, and maintainable data-related code that underpins critical stakeholder applications.
- 7+ years of experience working across a multitude of technology systems, consistently designing innovative solutions or developing impactful data solutions specifically within the complex healthcare or insurance industry.
- 7+ years of experience in strategically translating intricate business requirements, design mockups, prototypes, and user stories into precise technical designs and highly impactful, scalable data solutions.
- 7+ years of experience with both SQL and Python, utilizing these languages for sophisticated data manipulation, advanced analytical insights, and the development of resilient data pipelines.
- 5+ years of experience leveraging core GCP data services, including BigQuery, DataFlow, Cloud Composer (Managed Airflow), DataProc, and Cloud Run, optimizing their use for cloud-native data architectures.
- 5+ years of experience with traditional on-premise database systems, including Oracle, Teradata, and DB2, bridging legacy and modern data landscapes.
- 5+ years of experience operating within Unix/Linux environments, including scripting and system-level data operations.
- Possesses proven, hands-on experience with dbt (data build tool) for advanced data transformation and the development of sophisticated analytical data models.
- Experienced with cutting-edge data virtualization tools such as Starburst (Trino) or other composable data platforms, enabling unified access to distributed data assets.
- Skilled in leveraging advanced data quality engines (e.g., Monte Carlo, Soda) to ensure proactive data observability, integrity, and reliability across the data landscape.
- Familiar with sophisticated data catalog systems (e.g., Atlan, Collibra) for comprehensive metadata management, discovery, and robust data governance.
- Holds practical experience with Lakehouse technologies and modern open table formats (e.g., Apache Iceberg, Delta Lake), contributing to scalable and flexible data architectures.
LICENSES OR CERTIFICATIONS
Required
- None
Preferred
- Google Professional Cloud Data Engineer
SKILLS
- Microsoft Office
- SAS
Language Requirement (other than English)
None
Travel Requirement
0% - 25%
PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS
Position Type
Office-Based
Teaches / trains others regularly
Occasionally
Travel regularly from the office to various work sites or from site-to-site
Rarely
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
Yes
Lifting: up to 10 pounds
Occasionally
Lifting: 10 to 25 pounds
Rarely
Lifting: 25 to 50 pounds
Never
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.
Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Pay Range Minimum:
$94,200.00Pay Range Maximum:
$151,000.00Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at [email protected]
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