Senior Data Analyst

4 weeks ago


Tempe, Arizona, United States End Point Full time

About the Company:

Endpoint is a digital title and settlement company that simplifies home closing for all parties involved. Our mission is to empower customers to close every deal with confidence.

We believe that closing on a home is a milestone worth celebrating, and we strive to make this process easy and seamless for everyone.

Founded in 2018, Endpoint develops technology that streamlines home closing for real estate agents, buyers, and sellers, as well as proptech companies and investors.

Backed by First American Financial Corporation, a Fortune 500 company, Endpoint has secured $220 million in funding and operates across the US.

About the Job:

As a Senior Data Analyst at Endpoint, you will play a crucial role in driving our strategic decisions with data-driven insights. You will collaborate closely with Product, Operations, Engineering, Revenue, and Business Development teams to build and maintain data solutions that provide valuable insights and support business recommendations.

Key Responsibilities:

  • Create, build, and manage highly scalable and efficient data pipelines for processing and integrating data from various internal and external sources.
  • Design and maintain data infrastructure to support high-volume data processing, ensuring reliability, scalability, and performance.
  • Collaborate closely with cross-functional teams to understand their data requirements and deliver robust solutions.
  • Conduct data profiling, cleansing, and transformation to ensure data accuracy, integrity, and availability across systems.
  • Identify opportunities to automate data processes and optimize existing pipelines to improve performance and reduce costs.
  • Develop and maintain detailed documentation for data pipelines, data models, and workflows.
  • Contribute to developing internal tools and frameworks that enhance data accessibility and usability across the organization.
  • Support data governance initiatives by ensuring compliance with data quality standards and contributing to data stewardship efforts.
  • Stay abreast of the latest technologies and industry trends, continuously improve data engineering practices within the team, and cultivate a culture of continuous learning and growth.

Requirements:

  • 5+ years of Python expertise, specializing in data engineering tasks like building, optimizing, and automating data pipelines.
  • Proficiency in essential Python libraries and frameworks for data processing.
  • 5+ years of SQL experience, including performance tuning.
  • Extensive experience with AWS, GCP, or Azure, using Python to automate and optimize cloud infrastructure operations.
  • Proven ability to design and maintain scalable, high-performance data pipelines, utilizing tools like Prefect and dbt alongside Python.
  • Ability to work closely with cross-functional teams to translate complex business needs into effective technical solutions.
  • Experience in orchestrating ETL and reverse ETL processes using Python, with experience in tools like Prefect, Airflow, and Dagster.
  • Commitment to ensuring the reliability and scalability of data systems through proactive monitoring, logging, and alerting.
  • Strong understanding of designing efficient data models and managing data warehouses, particularly on platforms like Snowflake, Big Query, and Redshift.

Why work at Endpoint?

You'll join a fast-growing company where you can make an impact. You'll work alongside industry experts and the brightest minds in tech to transform an industry. We foster a vibrant, welcoming, and inclusive company culture. You'll be entrusted with responsibility and autonomy in your day-to-day work. You'll have opportunities to advance your career from within or for internal mobility. Customizable benefits, flexible work options, virtual and in-person team events, and competitive compensation make Endpoint an attractive place to work.

This role pays between $125,000 and $170,000, and your actual base pay will depend on your skills, qualifications, and experience.



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