Data Engineer III
About The Position
A Data Engineer III leads the design and development of complex, scalable data solutions that support strategic business goals. They ensure data quality, reliability, and security through robust architecture, error handling, and compliance practices. This role builds and maintains efficient data pipelines using tools like SQL, Python, Azure Synapse, Snowflake, DBT, and fivetran, enabling timely and accurate data delivery. They mentor team members, promote engineering best practices, and collaborate across functions to improve processes and unlock business value. Additionally, they proactively identify risks, drive automation and performance improvements, and provide technical leadership in high-ambiguity environments. Drives technical direction for a team. Delivers large, complex features across multiple systems and influences team standards. Has a minimum of 5 years of experience in a Data Engineer role. Lead design and development of significant projects (multi-team dependencies). Set and enforce quality, security, and reliability standards. Mentor others and conduct architecture reviews. Drive automation, observability, and DevOps improvements. Identify scaling, performance, and cost optimization opportunities. Designs components that integrate across domains (e.g., API, data, infra). Operate effectively with high ambiguity and business context. Deep expertise in one or more technical areas. Strong architectural thinking; anticipates downstream impacts. Balances engineering ideals with business priorities. Proactively identifies and unblocks team or project risks. Identify and proactively explore new technologies and showcases them Develop team expertise in multiple business domains, and is the initial point of contact for the business stakeholders Help define and evolve data governance frameworks. Lead initiatives around data lineage, privacy, and compliance (e.g., GDPR, HIPAA). Partner with legal, security, and business teams to align governance with enterprise strategy. Drive adoption of governance tools and practices across teams.
Requirements
- Minimum of 5 years of experience in a Data Engineer role.
Nice To Haves
- SQL
- Python
- Azure Synapse
- Snowflake
- DBT
- fivetran
Responsibilities
- Lead design and development of significant projects (multi-team dependencies).
- Set and enforce quality, security, and reliability standards.
- Mentor others and conduct architecture reviews.
- Drive automation, observability, and DevOps improvements.
- Identify scaling, performance, and cost optimization opportunities.
- Designs components that integrate across domains (e.g., API, data, infra).
- Operate effectively with high ambiguity and business context.
- Deep expertise in one or more technical areas.
- Strong architectural thinking; anticipates downstream impacts.
- Balances engineering ideals with business priorities.
- Proactively identifies and unblocks team or project risks.
- Identify and proactively explore new technologies and showcases them
- Develop team expertise in multiple business domains, and is the initial point of contact for the business stakeholders
- Help define and evolve data governance frameworks.
- Lead initiatives around data lineage, privacy, and compliance (e.g., GDPR, HIPAA).
- Partner with legal, security, and business teams to align governance with enterprise strategy.
- Drive adoption of governance tools and practices across teams.
Benefits
- medical
- dental
- vision
- 401K match
- wellness program
- onsite health clinic
- workout facility
- bring your dog to work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
