P2 - Data Engineer 2

About The Role

As a Data Engineer 2, you will utilize AI, automation, and domain expertise to develop enterprise data solutions that drive strategic business value. You'll translate business needs into technical requirements while demonstrating strategic awareness of how data engineering supports organizational objectives.

Working with intermediate to advanced technical skills, you'll solve medium to high complexity data problems and collaborate with senior engineers on strategy execution. This role focuses on building production-ready data pipelines, expanding CI/CD capabilities, and delivering solutions that impact scrum team deliverables while communicating effectively with cross-functional stakeholders.

Responsibilities:

Advanced Data Pipeline Development

Design and implement complete ETL/ELT workflows using intermediate to advanced techniques
Build and modify CI/CD pipelines for data processing workflows
Develop native data ingestion capabilities from various sources (APIs, databases, file systems)
Implement data validation, error handling, and monitoring in production pipelines

AI & Automation Integration

Incorporate AI and automation patterns into data engineering solutions
Develop solutions that leverage automation for improved efficiency and scalability
Apply intermediate Python techniques including decorators, generators, and design patterns
Build reusable components and frameworks for team use

Cross-functional Collaboration

Translate business requirements into technical data engineering solutions
Collaborate with product managers, analysts, and other stakeholders on data needs
Participate actively in scrum/agile development processes
Provide technical expertise to support strategic decision-making

Data Architecture & Design

Apply data modeling principles and data warehousing concepts
Design database schemas and data integration patterns
Work with cloud services (Azure/AWS/GCP) for scalable data solutions
Optimize data storage and retrieval for performance and cost

Qualifications

Experience & Education

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
2-5 years of experience in data engineering, data development, or related technical field
Proven experience building ETL/data pipelines in production environments
Experience with agile development methodologies and cross-functional teams

Technical Skills & Competencies

Programming: Intermediate Python skills including decorators, generators, object-oriented programming
SQL: Solid SQL proficiency with query optimization and performance tuning experience
Data Engineering: Experience with data orchestration platforms (Airflow, Azure Data Factory, SSIS, or similar)
Big Data: Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks
Cloud Platforms: Hands-on experience with Azure, AWS, or GCP data services (Databricks, Azure Functions, Delta Lake, etc.)
Data APIs & Semantic Layer: Familiarity with semantic layer tools (CubeJS or similar) for data access and analytics
CI/CD: Understanding of continuous integration/deployment for data pipelines
Design Patterns: Knowledge of software design patterns and their application in data engineering
AI/Automation: Basic understanding of AI/automation tools and their integration into data workflows

Core Competencies Assessment

Technical Skills (40%): Built ETL/data pipelines, production experience, CI/CD knowledge, AI/automation awareness
Problem-Solving (25%): Production pipeline experience, architecture basics, scalability awareness
Communication (20%): Agile team experience, stakeholder communication, cross-functional work
Learning & Growth (15%): AI/automation project exposure, learning track record, business understanding

What we can do for you:

You'll join a dynamic team where you'll work on cutting-edge data engineering projects that incorporate AI and automation technologies. We provide opportunities to expand your technical skills while gaining valuable experience in enterprise-scale data solutions and cross-functional collaboration.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.

Join us to advance your data engineering career while contributing to innovative solutions that leverage AI and automation to transform real estate data processing and analytics.

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