🚀 What is 8020REI?

8020REI is a pioneering B2B data and SaaS platform that empowers professional real estate investors to generate consistent leads from Cold Calls, SMS, and Direct Mail without spending more. We leverage AI, machine learning, and advanced analytics to identify homeowners likely to sell at a discount, plus a proven strategy to maximize our client's ROI. As part of our network, we also operate alongside three sister companies: DMForce, 8020Recruit, and 8020CRM, each contributing specialized services to the real estate sector.

🌟 Core Values at 8020REI:

• Lead with Innovation: We constantly seek innovative solutions to improve our services and operations.
• We’ve Got Your Back: Our dedication to surpassing expectations ensures we deliver outstanding support and forge lasting partnerships.
• Our Word is Our Bond: We maintain a foundation of integrity, fulfilling promises and upholding transparency.
• We are Limitless: Our culture encourages continuous personal and professional growth, empowering each team member to excel.
• Bring Your A-Game: We believe in prioritizing wellness and family, enabling our team to perform at their best for our clients and each other.

👀 Job Summary:

We are seeking a Senior Data Engineer to lead the development and maintenance of our data infrastructure. This role is critical to ensuring data reliability, scalability, and accuracy across our systems. As a Senior Data Engineer, you will design and implement robust ETL processes, develop data pipelines, and manage data warehouses that power advanced analytics and machine learning models. You will also collaborate with cross-functional teams to ensure seamless data integration and alignment with business goals.

This is a senior-level position that requires technical expertise, strategic thinking, and the ability to collaborate with technical and non-technical stakeholders.

👨‍💻 👩‍💻 Essential Duties and Responsibilities:

Data Infrastructure Development:

• Design and implement scalable ETL processes to transform raw data into structured formats.
  
• Build and manage data warehouses to consolidate and organize data from multiple sources.
  
• Develop and optimize data pipelines, defining clear workflows, technologies, and steps for processing and moving data.

Data Quality Assurance:

• Execute comprehensive tests on ETL processes to ensure error-free and reliable data generation.
  
• Continuously monitor and maintain ETL processes to prevent data inconsistencies.
  
• Validate data outputs for accuracy, consistency, and alignment with business needs.
  

Big Data Integration:

• Leverage AWS services such as EMR, Glue, Lambda, S3, Athena, and Step Functions to manage large-scale data systems.
  
• Implement big data solutions that enable real-time analytics and machine learning capabilities.
  

Cross-Functional Collaboration:

• Work closely with Data Scientists, Analysts, and other stakeholders to support data-driven decision-making.
  
• Provide clear documentation and guidance for data processes and workflows.
  

Leadership and Mentorship:

• Guide and mentor junior team members in data engineering best practices.
  
• Contribute to the overall data strategy by proposing innovative solutions and optimizations.

📝 Qualifications:

Educational Background:

• Bachelor’s degree in Computer Science, Systems Engineering, or a related field.
• Master’s degree is a plus.

Experience:

• Minimum 4+ years of experience in a similar role, working with large-scale data systems.
• Proven experience developing, maintaining, and optimizing data pipelines and ETL processes.
• Proven Leadership experience.
  

Technical Expertise:

• Strong knowledge of AWS architectures and services (EMR, Glue, Lambda, S3, Athena, Step Functions, IAM, API Gateway).
• Proficiency in programming languages such as Python, PySpark, and SQL.
• Experience with data pipeline and workflow management tools like Apache Airflow.
• Familiarity with MongoDB and Node.js is a plus.

Soft Skills:

• Strong problem-solving skills with the ability to make informed decisions under pressure.
• Excellent communication skills to work effectively across teams and explain complex concepts clearly.

Language Proficiency:

• Advanced English proficiency (C1 or higher) is required.
• Spanish proficiency is an asset.
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⚡️ Desirable Skills:

• Experience with agile methodologies such as SCRUM.

• Business acumen to align technical solutions with organizational goals.

• A fast learner with a commitment to continuous improvement.

Why Join Us?

At 8020REI, you’ll play a key role in shaping the future of data analytics for the real estate investment industry. As a Senior Data Engineer, you’ll have the opportunity to lead data initiatives, work with cutting-edge technologies, and collaborate with a dynamic team passionate about innovation and results.

📝 What We Offer:

• Competitive Base Compensation
• Profit Share Bonus
• Flex PTO (up to 25 days per year)
• Home Office Upgrade Bonus
• HMO Bonus
• Full-time Remote Work
• Opportunity for growth and team-building potential
• Ongoing support and budget to develop new skills

Join us at 8020REI and contribute directly to revolutionizing the real estate investment landscape!