Data Engineer V
Role details
Job location
Tech stack
Job description
- Architect, build, and maintain highly scalable data pipelines, ETL/ELT workflows, and analytical data models that support business intelligence, analytics, and AI/ML initiatives.
- Lead the design and implementation of the data platform infrastructure, including data lakes, data warehouses, and real-time streaming systems.
- Partner with Product, Engineering, and Data Science teams to define data models and ensure high-quality, reliable data delivery across the organization.
- Define and enforce data and software engineering best practices, including version control, data quality standards, documentation, and testing frameworks.
- Mentor and coach junior and mid-level data engineers, fostering a culture of technical excellence and continuous growth.
- Evaluate, adopt, and champion new data technologies and frameworks to drive platform modernization and efficiency.
- Collaborate with senior leadership to define the long-term data strategy and roadmap aligned with company objectives.
- Lead complex, cross-functional data initiatives from scoping through delivery, ensuring stakeholder alignment and on-time execution.
- Optimize data infrastructure for performance, cost efficiency, and reliability at scale.
- Ensure data security, compliance, and governance across the data platform, including adherence to HIPAA and other applicable regulations.
Requirements
- 12+ years of experience in data engineering, with demonstrated progression to senior or staff-level responsibilities.
- Expert-level proficiency in SQL and at least one programming language (Python, Scala, or Java).
- Deep experience designing and building data pipelines using tools such as Apache Spark, Airflow, dbt, or equivalent.
- Proven ability to design and implement cloud-based data platforms (AWS, Azure, or GCP), including data lake and warehouse solutions (Databricks, Snowflake, Redshift, BigQuery, or similar).
- Strong understanding of data modeling, schema design, and database performance optimization for large-scale datasets.
- Experience with real-time and streaming data architectures (Kafka, Kinesis, or equivalent).
- Demonstrated ability to lead technical projects and influence architectural decisions across teams and functions.
- Experience with data governance, data quality frameworks, and compliance requirements; familiarity with HIPAA is strongly preferred.
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
Benefits & conditions
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Medical, dental and vision insurance
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Health Savings Account
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Flexible Spending Accounts
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Telehealth
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401(k) and 401(k) match
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Life and AD&D insurance
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Short-Term and Long-Term Disability
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FTO or Vacation
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Sick Time
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Employee Well-Being program
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11 paid holidays
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Volunteer Time Off
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Employee Referral program
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Additional perk and voluntary benefit programs Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. This position is also eligible for variable pay as part of the total compensation package. ** PLANET DDS CORE IDEOLOGY** : To encourage measurable progress toward our vision and make the best decisions on behalf of employees and customers, we adopted a set of common values:
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Collaborative - Working independently and across teams, we create scalable solutions to enable company growth
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Empathetic - We are educated on the experience of our customers and feel vested in their success
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Accountable - We feel ownership for the quality of our work and take pride in the positive outcomes
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Trustworthy - We operate with integrity and honest, making promises we know that we can keep
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Ambitious - We are driven by our ability to make a long-term, positive impact on the lives of dental market leaders Planet DDS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.