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Principal Engineer Data Engineering - US Remote
Lensa
Cincinnati (OH)
Remote
USD 151,000 - 273,000
Full time
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Job summary
Join a forward-thinking company as a Principal Engineer, where you'll lead the design and implementation of robust data infrastructures. This role is pivotal in enhancing data capabilities, ensuring data quality, and mentoring a team of engineers. Collaborate with data scientists and software engineers to drive innovation in data analytics and insights. With a focus on continuous improvement and a culture that values empowerment and growth, this position offers an exciting opportunity to shape the future of data at a leading real estate firm. Embrace the chance to make a significant impact in a dynamic environment.
Qualifications
- 10+ years of experience in data engineering and data pipelines.
- Strong understanding of data security and compliance regulations.
Responsibilities
- Design and implement data infrastructure and pipelines.
- Lead and mentor data engineers, ensuring technical excellence.
Skills
Education
Tools
Job description
1 day ago Be among the first 25 applicants
Lensa is the leading career site for job seekers at every stage of their career. Our client, Anywhere Real Estate, is seeking professionals. Apply via Lensa today!
Anywhere is at the forefront of driving the digital transformation and building best-in-class products that help our agents and brokers sell more homes, make more money, and work more efficiently.
Data & Analytics (DNA) is Anywhere's data arm. We create innovative analytics, data science, and robust data foundation capabilities to generate data-driven insights that serve the heart of Anywhere Advisor and Anywhere Brand business. Together with our business counterparts in the real estate business, we work daily to deliver differentiating insights (AI & BI) for Strategy and AA & AB Operations.
We're seeking a Principal Engineer to join our Data Platform Team. In this critical position, you'll be responsible for designing, implementing, and managing the data infrastructure. You will work closely with data scientists, software engineers, and other stakeholders to ensure the Data Platform's availability, usability, and integrity.
Data Infrastructure Design And Implementation
- Evaluate, select, and implement new tools and frameworks to expand our data platform capabilities.
- Design, build, and maintain robust, scalable, and reliable data pipelines and ETL processes.
- Develop and maintain data infrastructure and platforms using various technologies (e.g., AWS, Snowflake Cloud Platforms, databases, Kafka streaming platforms).
- Ensure data quality, consistency, and integrity across the organization.
- Architect and optimize Data Ingestion and Snowflake ETLs.
- Production Support and enhancements to the observability of the Data Platform.
- Lead and mentor data engineers, providing guidance and support to junior engineers.
- Foster a culture of technical excellence and continuous learning.
- Collaborate with other teams (e.g., data scientists, software engineers, and product managers) to ensure data solutions meet business needs.
- Implement and maintain data security measures to protect sensitive data.
- Ensure compliance with data protection regulations and industry standards.
- Identify and solve complex data-related problems.
- Stay abreast of industry trends and emerging technologies and identify opportunities to enhance data capabilities.
- Proactively address performance, scale, complexity, and security considerations.
Technical Expertise:
- 10+ years’ experience with a strong understanding of data engineering principles and technologies.
- 10+ years’ experience with data pipelines, ETL processes, and data warehousing.
- 5+ years’ experience building data pipelines using Kafka, Kafka Connect, Airflow, and Snowflake.
- 5+ years’ experience with Snowflake Data Platform.
- 5+ years’ experience with AWS Data Services such as DMS, EMR, Glue, Athena, S3, CloudWatch, Lambda, or IAM.
- 5+ years’ experience with Data Quality, Data Reconciliation
- 5+ years’ experience managing production data platforms.
- 5+ years’ experience building observability (Monitoring & Alerting) using tools such as Data Dog and M.
- Proficiency in programming languages (e.g., Java, Python, SQL).
- Knowledge of data governance, data modeling, and security best practices.
- Proficiency in CI/CD, IAC, and Agile Development.
- Strong leadership and mentoring skills.
- Excellent communication and collaboration skills.
- Ability to explain complex technical concepts to both technical and non-technical audiences.
- Ability to identify and solve complex problems.
- Strong analytical skills to identify data quality issues and performance bottlenecks.
At Anywhere, we are empowering everyone’s next move – your career included. What differentiates us is our scale, expertise, network, and unique business model that positions us as a trusted advisor throughout every stage of the real estate transaction. We pursue talent – strategic thinkers who are eager to always find a better way, relentlessly focus on talent, obsess about growth, and achieve exceptional results. We value our people-first culture, which thrives on empowerment, innovation, and cross-company collaboration as we keep moving the world forward, together. Read more about our company culture and values in our annual Impact Report (https://anywhere.re/wp-content/uploads/2025/03/2024-Impact-Report.pdf) .
We are proud of our award-winning culture and are consistently recognized as an employer of choice by various organizations including:
- Great Place to Work
- Forbes World's Best Employers
- Newsweek World's Most Trustworthy Companies
- Ethisphere World's Most Ethical Companies
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionEngineering and Information Technology
- IndustriesIT Services and IT Consulting
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