Pennsylvania, United States
JOB SUMMARY
***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***
As a Lead 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
Lead the design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems
Oversee development and maintain data models, databases, and data warehouses to support business intelligence and analytics needs
Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs
Mentor other associate, intermediate, and senior data engineers as needed
Collaborate with other Data Leaders to ensure consistency of data solutions across systems and platforms
Monitor work against the production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly
Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations.
Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed
Other duties as assigned or requested.
EXPERIENCE
Required
7 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems
7 years of experience in a data engineering, ETL development, or data management role.
7 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).
7 years of experience in with data warehouse solutions and concepts (e.g., Snowflake, Redshift, BigQuery)
Preferred
SKILLS
Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment
Adaptability: Advanced ability to take on diverse tasks and projects, adapting to the evolving needs of the organization
Analytical Thinking: Advanced analytical skills with a focus on detail and accuracy
Interest and ability to learn other data development technologies/languages as needed
Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed
Advanced track record in designing and implementing large-scale data sources
Advanced sense of ownership, urgency, and drive
Demonstrated passion for user experience and improving usability
Team Collaboration: A team player who can work effectively in cross-functional environments
Experience and willingness to mentor junior data engineers and help develop their skills and leadership
EDUCATION
Required
Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field
Preferred
Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field
LICENSES or CERTIFICATIONS
Required
None
Preferred
None
Language (Other than English):
None
Travel Requirement:
0% - 25%
PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS
Position Type
Office- or Remote-based
Teaches / trains others
Occasionally
Travel 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
No
Lifting: up to 10 pounds
Constantly
Lifting: 10 to 25 pounds
Occasionally
Lifting: 25 to 50 pounds
Rarely
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 job 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:
$118,400.00Pay Range Maximum:
$196,800.00Base 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.
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For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.org
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