JOB SUMMARY
***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***
As a Senior Data Engineer, you will design and operate real‑time and analytical data pipelines that power enterprise reporting and decision‑making, including security and operational telemetry data. You will be responsible for ingesting, modeling, and optimizing high‑volume streaming and batch data in Azure Data Explorer (ADX), enabling fast, reliable analytics at scale.
This role blends deep data engineering with analytics enablement. You will structure and transform data using modern cloud and streaming technologies ( Kafka, Cribl, Azure Data Factory), applying medallion architecture principles to ensure data quality, performance, and governance across the full data lifecycle.
A core responsibility is translating engineered data into business‑ready insights by developing curated datasets, analytics, and Power BI (and Tableau) dashboards used by internal teams and leadership. Success in this role requires strong proficiency in KQL, SQL, and Python, experience optimizing ADX for analytical workloads, and the ability to partner with stakeholders—including security and risk teams—to turn business questions into scalable, high‑impact data products.
ESSENTIAL RESPONSIBILITIES
Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems
Develop 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
Monitor work against 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.
Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking
Mentor other associate and intermediate data engineers as needed
Perform data analysis and provide insights to support decision-making across various departments
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
5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems
5 years of experience in a data engineering, ETL development, or data management role.
5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).
5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)
Preferred
7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory).
7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities
7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare
7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services
7 years of experience in data governance, data quality, and data security best practices
7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable
SKILLS
Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment
Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization
Analytical Thinking: Strong 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
Strong track record in designing and implementing large-scale data sources
Strong 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:
$102,700.00Pay Range Maximum:
$164,600.00Base 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.
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