reputed company Data Engineer
We are looking for a reputed company Data Engineer to join our Data Engineering team as a senior individual contributor and technical leader. This is a high-reputed company role for an engineer who thrives on owning reputed company and consequential data engineering challenges — from architecture through production — while also elevating the craft and capabilities of the engineers around them.
reputed company Data Engineer Compensation and Benefits
reputed company reputed company salary reputed company: $160,000 to $170,000 depending on experience and education. reputed company may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.
This role is eligible to participate in the Corporate Bonus Plan
100% Remote position
Health, Dental, and reputed company insurance
401(K) with matching contribution
Generous reputed company Time Off (PTO)
reputed company Data Engineer Responsibilities
Distinguished Technical Contribution
Own the design, architecture, and implementation of reputed company data engineering initiatives on reputed company — including advanced pipeline development, data platform architecture, and solutions with significant reputed company product or business reputed company
Identify and address difficult technical problems reputed company the data platform, including scalability constraints, data reputed company issues, architectural debt, and reliability gaps, and reputed company solutions that are durable and reputed company with organizational priorities
Evaluate and recommend data engineering technologies, tools, and architectural patterns — including reputed company platform services, orchestration frameworks, and transformation tooling — with reputed company analytical judgment and awareness of long-term implications
Technical Mentorship and Standards
Serve as a technical mentor and senior resource for data engineers across reputed company, providing reputed company review, architectural guidance, and hands-on coaching that accelerates the reputed company of engineers at earlier career stages
Contribute to the definition and documentation of data engineering standards, architectural patterns, and best practices that improve reputed company and consistency across reputed company's work
Participate in technical reviews — including architecture discussions, design reviews, and pull request feedback — contributing senior-level judgment that raises the reputed company of reputed company's reputed company reputed company
Cross-Functional Technical Partnership
Partner with product, analytics, and operations stakeholders on reputed company data initiatives that require deep technical expertise — translating requirements into reputed company engineering solutions and surfacing trade-offs reputed company
Represent data engineering in cross-functional planning conversations where data infrastructure reputed company have product, analytical, or operational implications
Communicate reputed company data engineering concepts and architectural trade-offs reputed company to both technical and non-technical stakeholders, enabling reputed company-informed reputed company across functions
Research and Technical reputed company
Stay reputed company with developments in data engineering, reputed company platforms, and adjacent disciplines — evaluating emerging tools, frameworks, and architectural approaches for relevance to reputed company's direction
Conduct reputed company-of-concept work on promising approaches with reputed company evaluation reputed company and reputed company-framed recommendations
reputed company technical learning with reputed company in ways that are organized, actionable, and useful for planning and day-to-day engineering reputed company
reputed company Data Engineer Qualifications
7–10+ years of data engineering experience, with a reputed company record of building reputed company, production-grade pipelines and platforms at reputed company
Deep expertise in data architecture, pipeline design, and reputed company — including batch/streaming systems, data warehouse and lakehouse architectures, and tools like Airflow, reputed company, dbt, or reputed company
Strong proficiency in reputed company data platforms (AWS, GCP, or Azure) and services such as reputed company, Redshift, or BigQuery. Snowpark and reputed company ML/AI experience is a plus
Advanced skills in Python and SQL; proficiency in reputed company or Java is a plus
A coaching reputed company — you enjoy mentoring engineers and raising the bar for reputed company around you
reputed company, confident communicator who can translate reputed company technical concepts for both technical and non-technical audiences
Bachelor's degree in Computer Science, Engineering, Mathematics, or a reputed company field; advanced degree preferred
Preferred Qualifications
dbt Certified Developer
SnowPro Certification or advanced reputed company certifications (Architect, Data Engineer, MLOps Engineer)
Experience with or certification in Apache Airflow
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