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Closed listing

Highmark Health

Senior Data Engineer

Olympia, WA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Company :

Highmark Inc.

Job Description :

JOB SUMMARY

This role is an integral senior member of a technical team, responsible for supporting the design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for ensuring the reliable movement, transformation, and storage of data across various platforms. The incumbent will work closely with data professionals, analysts, and engineers to build and optimize data pipelines, ensuring data quality and integrity. The ideal candidate is adaptable, solution-oriented, and capable of collaborating across multiple teams to support a broad range of data initiatives. The incumbent and team will be involved in every aspect of the data process, from idea generation, analysis, design, build, and support, using the latest technologies and design patterns.

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

5 years of experience with Python and Spark framework
2 years of experience with Databricks7 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

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

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:

$102,700.00

Pay Range Maximum:

$164,600.00

Base 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.

California Consumer Privacy Act Employees, Contractors, and Applicants Notice (https://dokumfe7mps0i.cloudfront.net/oms/4391/document/2026/1/doclib_458575_QLVK9_1769448333304228022_1769448333396/1769448333396.pdf)

Req ID: J290406

About employer

More about this job

Skills

Adaptability
Data models
Business intelligence
Negotiate with stakeholders
Manage data
Regulatory compliance
Apply information security policies
Perform data analysis
Decision making
Data engineering
Data management
SQL
MySQL
PostgreSQL
MongoDB
Data warehousing
Data warehouse
Snowflake
Amazon Redshift
BigQuery
Python
Apache Spark
Amazon Data Pipeline
Workflow
Apache Airflow
AWS
Microsoft Azure Data Factory
Microsoft Azure
Google Cloud
Analytical skills
Collaboration
Leadership
Computer science
Computer engineering
Sell products
Sales

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