Senior Data Engineer

Cala Sourcing Solutions LLC; Phoenix (AZ); Remote; USD 140,000 - 170,000; Part time

Job summary

Cala Sourcing Solutions LLC is seeking a Senior Data Engineer to design scalable data pipelines for real estate software and advertising products. This remote role collaborates with product, engineering, operations, marketing, sales, and support to translate complex business needs into reliable data solutions.

You will own end-to-end pipeline development, monitor performance, and mentor teammates. Candidates should have a BS in CS, 5+ years building data-intensive apps, and strong

Qualifications

• Bachelor’s degree in CS or related field.
• 5+ years building data-intensive apps.
• Production-quality data pipelines handling billions of rows.
• Advanced Spark, Airflow, and SQL experience.
• Strong Python, Java, or Scala programming skills.
• Experience deploying, monitoring, and troubleshooting data systems.
• Data modeling translating business needs into scalable models.
• Excellent cross-functional communication abilities.

Responsibilities

• Design, build, and maintain scalable data pipelines processing billions of rows from multiple sources.
• Translate business requirements into clear technical specifications and adaptable data models.
• Monitor pipeline performance, reliability, and uptime; troubleshoot issues.
• Automate repeatable processes to improve efficiency.
• Write, test, and optimize high-quality code for performance and readability.
• Collaborate with product, engineering, and other teams to understand data needs.
• Review designs and provide feedback on technical specs and PRs.
• Communicate complex concepts to non-technical stakeholders.
• Provide technical leadership and mentorship to team members.

Skills

Spark

Airflow

SQL

Python

Java

Scala

Data pipelines

Cloud platforms

Databricks

Tableau

Power BI

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Databricks

Job description

Location: Remote – United States
Employment Type: 12-Month Contract
Contract Dates: September 28, 2026–September 27, 2027

Position Overview

We are seeking an experienced Senior Data Engineer to develop scalable data solutions that support innovative software and advertising products within the real estate industry. This role will partner with teams across product, engineering, operations, marketing, sales, and customer support to transform complex business needs into reliable data pipelines and actionable insights.

The ideal candidate has strong technical expertise, excellent business judgment, and a passion for automation, data quality, and engineering best practices.

Key Responsibilities

Design, build, and maintain scalable data pipelines that process billions of rows from multiple sources.

Translate business requirements into clear technical specifications and adaptable data models.

Monitor and troubleshoot pipeline performance, reliability, scalability, and uptime.

Automate repeatable processes to improve team efficiency and operational performance.

Write, test, refactor, and optimize high-quality code for performance, readability, and scalability.

Collaborate with cross-functional partners to understand business processes and data requirements.

Review technical specifications, system designs, and pull requests while providing constructive feedback.

Communicate complex technical concepts clearly to non-technical stakeholders.

Provide technical leadership and mentorship to other team members.

Required Qualifications

Bachelor’s degree or higher in Computer Science or a related field.

At least 5 years of experience building and maintaining data-intensive applications.

Proven experience developing production-quality data pipelines that scale to billions of rows.

Advanced experience with Spark, Airflow, and SQL.

Strong programming skills in Python, Java, or Scala.

Experience with production deployment, monitoring, troubleshooting, and data reliability.

Strong data-modeling experience, including translating business requirements into scalable and adaptable models.

Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Experience with Databricks.

Familiarity with data-visualization tools such as Tableau or Power BI.

Experience supporting business-to-business products or go-to-market initiatives.

Candidates with transferable skills or nontraditional backgrounds are encouraged to apply.