Posted 21 days ago

Job summary

• Job post source

  This job is directly from Blue Shield of California

• Job overview

  The Senior Data Engineer role at Blue Shield of California focuses on designing and deploying scalable data warehouse and BI solutions to enhance healthcare data analytics and business intelligence.

• Responsibilities and impact

  The candidate will design and maintain data pipelines, optimize data workloads, automate data integration tasks, enforce data quality standards, troubleshoot issues, support data governance, and collaborate in an agile environment to modernize data infrastructure.

• Compensation and benefits

  The role offers flexibility for remote work and includes a comprehensive benefits package with health coverage, retirement plans, paid time off, and opportunities for ongoing training and development.

• Experience and skills

  Candidates need a bachelor's degree or equivalent experience, at least 5 years in data engineering, proficiency in SQL and cloud data platforms, knowledge of data modeling and management tools, and experience with Agile and DevOps methodologies; healthcare experience is preferred.

• Career development

  The company encourages professional growth and development through ongoing training and opportunities to work on innovative data projects in healthcare.

• Work environment and culture

  Blue Shield of California promotes a diverse, inclusive work environment focused on innovation, integrity, and collaboration to improve healthcare experiences.

• Company information

  Blue Shield of California is a leading not-for-profit health plan provider dedicated to transforming healthcare with a focus on accessibility, affordability, and personalized service.

• Team overview

  The Senior Data Engineer will join the Data Engineering Development team, collaborating with solution leads, data modelers, analysts, and business partners to drive data innovation.

• Job location and travel

  The position offers remote work flexibility, supporting candidates seeking meaningful impact through data innovation in healthcare.

• Application process

  Candidates should apply through the company's careers portal where applications are reviewed on a rolling basis; early submissions are encouraged.

• Unique job features

  This role involves working at the forefront of data innovation in healthcare, utilizing advanced tools and methodologies to modernize data infrastructure and improve data quality and automation.

Company overview

Hirenza is a job portal and recruitment platform operated by Hirenza Private Limited, providing services that connect job seekers with employers across various industries. The company generates revenue by facilitating job postings, recruitment solutions, and possibly offering premium placement or hiring services to businesses. With an online presence at hirenza.com and active recruitment for roles such as sales representatives and data entry positions, Hirenza positions itself as a comprehensive employment marketplace. The company is registered in India and has received reviews on platforms like AmbitionBox, indicating engagement with both employers and job candidates. Its business model and operations are focused on streamlining the hiring process and supporting workforce needs for organizations.

How to land this job

• Position your resume to highlight your experience designing and developing scalable data pipelines, focusing on cloud platforms like Snowflake and tools such as Informatica PowerCenter and DBT Cloud, as these are central to Hirenza's data engineering role.

• Emphasize your skills in data modeling, particularly Data Vault 2.0, and your familiarity with Agile and DevOps methodologies, which are key for modernizing data infrastructure and improving pipeline automation at Hirenza.

• Apply through multiple channels including Hirenza’s corporate careers portal and LinkedIn to maximize your visibility and chances of being noticed for the Senior Data Engineer position.

• Connect with current data engineering team members or managers at Hirenza on LinkedIn, using ice breakers like commenting on recent data innovation projects they shared or expressing your enthusiasm for their work in healthcare data transformation.

• Optimize your resume for ATS by incorporating keywords such as 'data pipelines,' 'cloud data platforms,' 'SQL and PL/SQL,' 'data governance,' 'DevOps,' and 'data quality standards' to ensure it passes automated screenings effectively.

• Jennie Johnson’s Power Apply feature can automate your tailored applications, identify multiple relevant application sites, and suggest LinkedIn contacts to network with, freeing you to focus on interview prep and skill enhancement.