Lead Data Engineer Jobs

Rearc

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and maintaining technical excellence within our data engineering team. Your deep expertise in data architecture, ETL processes, and data modeling will be instrumental in optimizing data workflows for efficiency, scalability, and reliability. You’ll work closely with cross-functional teams to design and implement robust data solutions that align with business objectives and industry best practices. Building strong partnerships with technical teams and stakeholders will be essential as you drive data-driven initiatives and ensure their successful delivery.

Job Responsibility:

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content
Foster a culture of continuous learning and innovation

Requirements:

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

What we offer:

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Additional Information:

Job Posted:
December 11, 2025

Work Type:

Remote work

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Lead Data Engineer