Senior Data Engineer II

Compass; New York (NY); On-site; USD 168,000 - 180,000; Full time

Benefits offered by this job

Incentive programs

Paid vacation/holidays

Medical benefits

401(k)

FSAs

Commuter program

Life and disability insurance

Maven

Carrot

UrbanSitter

Employee Assistance Program

Pet insurance

Job summary

Compass is building a scalable analytics platform to empower data stakeholders across the company. As a Data Engineer, you will design fault-tolerant cloud data solutions, optimize data pipelines, and ensure cost-effective, secure data delivery.

You will mentor junior engineers and collaborate with analysts to align infra with business goals. You will work with Databricks, Spark, Kafka, Airflow, and AWS/GCP/Azure, applying IaC practices and enforcing governance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
• 8+ years of cloud data platform development experience (Databricks, Spark, Kafka, Airflow).
• 8+ years of programming experience in Python, Java, or C#.
• 3+ years using IaC tools like CloudFormation or Terraform.
• Expertise in data governance and automation; strong SQL and cloud platform skills.

Responsibilities

• Design and implement fault-tolerant, scalable cloud data solutions with cost-aware performance.
• Oversee platform health, updates, and feature adoption; drive operational efficiency.
• Implement data security practices and regulatory compliance (e.g., CCPA).
• Stay current with new data engineering technologies and opportunities for improvement.
• Mentor junior and mid-level engineers through code reviews and guidance.
• Collaborate with analysts, engineers, and stakeholders to align data infra with business goals.

Skills

Databricks

Spark

Kafka

Airflow

Python

Java

C#

SQL

Cloud platforms (AWS/GCP/Azure)

Infrastructure as Code

Governance & Compliance

Education

Bachelor’s/Master’s in CS/IT or related field

Job description

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.

Data is the foundation of Compass technologies. Our team is responsible for architecting, building, and maintaining a unified, scalable, and cost-effective analytics platform, including a data lake, data warehouse, data pipelines, and operational tools to support data stakeholders across the company.

As a data engineer, you will be responsible for building, optimizing, and maintaining scalable data pipelines using distributed computing on the cloud. You are a data expert who understands and optimizes data systems from the ground up. You will collaborate with data analysts and scientists to support data initiatives and ensure consistent, optimal data delivery architecture for ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Responsibilities:

• Data Infrastructure Development: Design and implement fault-tolerant, scalable cloud data solutions, ensuring optimal performance, cost, and scalability. Automate infrastructure configuration using Infrastructure as Code (IaC).
• Infrastructure Operations: Oversee platform support, troubleshooting, updates, and feature adoption. Ensure platform health and cost optimization.
• Security & Compliance: Implement best practices for data security and encryption. Maintain regulatory compliance (e.g., CCPA).
• Engineering Excellence: Stay updated with emerging technologies in data engineering, identifying opportunities for improvement and operational efficiency.
• Leadership & Mentorship: Guide junior/mid-level engineers through mentorship and code reviews, fostering professional growth.
• Collaboration: Partner with analysts, engineers, and stakeholders to align data infrastructure with business goals. Contribute to planning and decision-making.

Qualifications:

• Bachelor’s/Master’s in Computer Science, IT, or related field.
• 8+ years in cloud data platform development (e.g., Databricks, Spark, Kafka, Airflow).
• Proficient in Python, Java, or C# with 8+ years of programming experience.
• 3+ years using IaC technologies like AWS CloudFormation or Terraform.
• Expertise in data compliance/governance and process automation.
• Strong skills in SQL and cloud platforms (e.g., AWS Glue, GCP, Azure Data Factory).

Desirable Skills:

• SME in cloud data platforms (e.g., Databricks, AWS Lake Formation).
• Proven ability to enhance service performance and productivity.
• Analytical and problem‑solving skills with strong stakeholder management.
• Experience with machine learning workflows and integration with LLMs.

Compensation:

The base pay range for this position is $168k -$180k annually; however, base pay offered may vary depending on job‑related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.

Perks that You Need to Know About:

• Participation in our incentive programs (which may include eligible cash, equity, or commissions).
• Plus paid vacation, holidays, sick time, parental leave, and recharge leave.
• medical, tele-health, dental and vision benefits.
• 401(k) plan.
• flexible spending accounts (FSAs).
• commuter program.
• life and disability insurance.
• Maven (a support system for new parents).
• Carrot (fertility benefits).
• UrbanSitter (caregiver referral network).
• Employee Assistance Program.
• pet insurance.

Do your best work, be your authentic self.

At Compass, we believe that everyone deserves to find their place in the world — a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.

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