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Equity Residential

REIT owning and managing urban apartments

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeChicago, IL, USA

About the Job

Requirements

  • At least 6 years of relevant experience in data engineering or a related field.
  • A bachelor's degree in Computer Science, Software/Computer Engineering, Mathematics, or a related discipline is required; a master's degree or higher is preferred.
  • Advanced proficiency in Python and SQL, or expert-level proficiency in alternative general programming languages.
  • Extensive experience with data orchestration tools such as Prefect or Airflow.
  • Strong experience with data transformation and modeling tools such as dbt and data warehouse technologies such as Snowflake and BigQuery, or data processing frameworks such as Apache Spark.
  • Extensive experience with version control systems and continuous integration and continuous delivery (CI/CD) tools.
  • Hands-on experience with a major cloud platform is required; Azure is preferred.
  • Ability to mentor and guide junior team members.
  • Problem-solving skills for complex data engineering challenges.
  • Ability to communicate effectively with cross-functional teams.
  • Project management abilities for overseeing multiple data projects.
  • Ability to hear and speak well enough to converse by phone and in person and to communicate detailed written or verbal instructions.
  • Ability to see well enough to use a computer effectively and read written communications.
  • Ability to lift, push, pull, or carry up to 15 pounds; climbing stairs may be required depending on the property structure. Reasonable accommodation will be provided as required by law.

Responsibilities

  • Lead the design, architecture, and implementation of complex data pipelines and storage solutions.
  • Mentor teammates and peers by providing technical guidance and expertise.
  • Evaluate and recommend data technologies and tools to improve efficiency.
  • Collaborate with data scientists to optimize and scale machine learning workflows.
  • Implement advanced data transformations and aggregation processes.
  • Drive data engineering best practices and standards across the team.
  • Participate in cross-functional project planning and execution.
  • Manage and optimize cloud resources and costs related to data processing.
  • Lead efforts to improve data quality, lineage, and metadata management.
  • Collaborate with business stakeholders to understand and prioritize data needs for strategic initiatives.

Desired Qualifications

  • A master's degree or higher.
  • Experience with Azure.

About the Company

Equity Residential

REIT owning and managing urban apartments

Equity Residential owns, develops, and manages multifamily apartment buildings in urban and high-density suburban markets across the United States, targeting affluent renters. It earns revenue by owning properties, leasing apartments, and engaging in equity joint ventures and pre-sale transactions; it also uses an UPREIT structure to offer tax-deferred exits for exiting property owners. The company differentiates itself through its focus on high-demand urban/dense markets, an in-house property management network, and flexible capital-structure arrangements. Its goal is to provide stable cash flow and long-term value appreciation for investors by owning and efficiently operating high-quality rental properties in prime markets.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Chicago, IL
Founded
1967

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