Description
Position: Principal Data Engineer | Direct Hire Permanent
Location: Remote
Salary: $225,000 - 300,000 base plus bonus potential
*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***
Build the data foundation that powers analytics, AI, and enterprise decision-making.
We're hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you'll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.
What You'll Own
Design and build a modern data platform across ingestion, transformation, storage, and consumption
Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)
Establish data architecture standards, modeling practices, and engineering frameworks
Create secure, multi-tenant data environments with strong governance and access controls
Build data models and serving layers for reporting, self-service analytics, and AI workloads
Evaluate and implement cloud data technologies for performance, cost, and scalability
Partner with engineering and business leaders to align data strategy with company priorities
Guide vendors and external partners while enforcing internal data standards and quality
What You Bring
10+ years of experience in data engineering, including large-scale architecture ownership
Strong programming skills in Python and experience with tools like Spark, Kafka, or similar
Expertise building batch and streaming pipelines in cloud environments (AWS preferred)
Deep knowledge of data modeling for both transactional and analytical systems
Hands-on experience with Snowflake, Redshift, or modern data platforms
Strong understanding of data governance, privacy, and secure data design
Experience with ETL frameworks, testing, and CI/CD-driven data workflows
Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders
Why This Role
Architect and build a next-generation data platform from foundational level
Direct impact on analytics, product insights, and AI capabilities
High ownership, visibility, and influence across engineering and leadership
Opportunity to define standards, tooling, and long-term data strategy
If you're a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
Requirements
Apache Spark, Python, Apache Hadoop, Apache Kafka, ETL - Extract Transform Load, Data Architecture, Snowflake, Data Governance, Data Privacy, Strategic Recommendations, Strategic Roadmaps
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 01500-0013466977
- Posted 28 days ago
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