Data Engineer, Consultant

Posted 6 Hours Ago
28 Locations
In-Office or Remote
Senior level
Industrial • Automation
The Role
Lead design and delivery of scalable, secure cloud data pipelines and data products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0, dimensional), embed data quality/security/observability, optimize performance and cost, drive CI/CD/IaC/DataOps practices, mentor engineers, and support AI/ML-ready datasets within an agile DevSecOps pod.
Summary Generated by Built In

Your Role 

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Consultant will report to the Sr Manager, Data Solutions / Manager. This role serves as a senior individual contributor and technical leader, responsible for driving end‑to‑end delivery of complex data engineering solutions across cloud data platforms. The DE‑C partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, and production‑ready data products.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Responsibilities

Your Work 

In this role, you will: 

  • Lead the design and implementation of complex, data pipelines and data products from development through production

  • Translate solution designs and business requirements into detailed technical architecture and implementation plans

  • Architect and build scalable, secure, and highly available data solutions across enterprise data platforms

  • Apply advanced data modeling techniques (Data Vault 2.0, dimensional, and domain‑oriented models) to support analytics and reporting needs

  • Embed data quality, testing, security, and observability by design across data pipelines

  • Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization

  • Identify and implement optimization opportunities related to performance, reliability, and cloud cost management

  • Influence and evolve data engineering standards, patterns, and frameworks used by delivery teams

  • Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews

  • Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners

  • Support integration of AI/ML‑ready datasets by ensuring data is well‑modeled, reliable, and governed

  • Communicate complex technical concepts clearly to both technical and non‑technical stakeholders

Qualifications

Your Knowledge and Experience 

  • Requires a bachelor's degree or equivalent experience.

  • Requires a minimum of 7 years of data engineering experience.

  • Advanced hands‑on expertise in SQL, including automation and pipeline optimization

  • Strong experience with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory

  • Extensive experience with modern data platforms including Snowflake, Databricks, and orchestration tools such as Airflow or Tidal

  • Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing

  • Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices

  • Strong understanding of security, privacy, and compliance requirements in regulated environments

  • Experience working with largescale, distributed data platforms and parallel processing architecture

  • Excellent communication and stakeholder engagement skills

  • Proven ability to lead technically without formal people management responsibility

  • Preferred: Healthcare industry experience, including exposure to Epic or similar ecosystems

 

 

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About the Team

About Stellarus and the Ascendiun Family of Companies

Stellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.    
 
Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company. 

Stellarus’ vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus’ objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California’s vision by using innovation to improve quality, affordability, and experience for members.   

To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.

Our Values: 

At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings.

    Our Workplace Model: 

    We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:

    • For most teams, this means coming into the office two days per week.

    • Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.

    • For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.

    The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.

        Physical Requirements:

        Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.

        Please click here for further physical requirement detail. 

        Equal Employment Opportunity:

        External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.

        Skills Required

        • Bachelor's degree or equivalent experience
        • Minimum 7 years of data engineering experience
        • Advanced hands-on expertise in SQL, automation and pipeline optimization
        • Strong experience with cloud platforms and services (Azure preferred), including ADLS, Synapse, Data Factory
        • Extensive experience with modern data platforms: Snowflake, Databricks, and orchestration tools such as Airflow or Tidal
        • Advanced data modeling techniques (Data Vault 2.0, dimensional, domain-oriented models)
        • Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices
        • Deep understanding of data architecture, integration patterns, data quality, and data warehousing
        • Experience with security, privacy, and compliance in regulated environments
        • Experience working with large-scale, distributed data platforms and parallel processing architectures
        • Proven ability to lead technically without formal people management responsibility
        • Excellent communication and stakeholder engagement skills
        • Healthcare industry experience, including exposure to Epic or similar ecosystems
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        The Company
        136 Employees
        Year Founded: 2000

        What We Do

        BSC Industries is an independent distributor of bearings, power transmission products, and electrical and automation products. Headquartered in Canton, MA, the company serves OEM and MRO companies in various markets both nationally and internationally by delivering world-class products and engineered solutions, including industrial automation and motion control products.

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