
51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Cloud
Rearc is a boutique, engineering-driven services firm specializing in cloud, data, and generative AI solutions. They are known for their innovation and engineering delivery excellence, empowering small teams to achieve significant results and foster creativity. Rearc offers services such as GenAI quickstart, secure data collaboration, data platform foundation, and cloud platform engineering. Their services are comprehensive and adaptable to meet the specific needs of their clients. Rearc has expertise in building foundational data platform capabilities, cloud governance, and the use of AWS products.
🕒 April 1
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
🤖 Artificial Intelligence
Artificial Intelligence • Cloud
Rearc is a boutique, engineering-driven services firm specializing in cloud, data, and generative AI solutions. They are known for their innovation and engineering delivery excellence, empowering small teams to achieve significant results and foster creativity. Rearc offers services such as GenAI quickstart, secure data collaboration, data platform foundation, and cloud platform engineering. Their services are comprehensive and adaptable to meet the specific needs of their clients. Rearc has expertise in building foundational data platform capabilities, cloud governance, and the use of AWS products.
• Establish and maintain technical excellence within the data engineering team • Design and implement robust data solutions aligning with business objectives • Drive data-driven initiatives and ensure successful delivery • Lead by example, combining strong technical execution with mentorship • Engage with stakeholders to understand data needs and technical constraints • Implement with a DataOps mindset, building reliable and efficient data pipelines • Mentor and develop data engineers, contributing to knowledge sharing and thought leadership
• 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 • Proficiency with modern data engineering frameworks, including Databricks, Spark, and lakehouse technologies
• 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
Apply Now🕒 March 31
AWS Data Engineer (Senior) developing data pipelines and data solutions using AWS technologies at Mactores, a leader in modern data platform solutions.
Airflow
Amazon Redshift
AWS
PySpark
SQL
🕒 March 31
1 - 10
Data Engineer designing and implementing data architecture for precision oncology. Collaborating with various teams to manage diverse biological data pipelines in an early-stage startup environment.
AWS
ETL
Linux
Postgres
Python
🕒 March 31
Senior Technical Product Manager focused on designing scalable solutions for healthcare technology at Aledade. Collaborating with business and technical teams to enhance clinical data integration and insights.
🕒 March 31
Data Architect Lead developing data architecture solutions for investment management. Collaborating with development teams to implement global investment data platforms.
🕒 March 31
Data Engineer managing data pipelines for Angenex's machine learning platform, optimizing data flow for cross-functional teams.
🇺🇸 United States – Remote
💰 $30M Series A on 2022-06
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
Amazon Redshift
AWS
BigQuery
Docker
EC2
ETL
MongoDB
MySQL
NoSQL
Oracle
Postgres
Python
RDBMS
SQL