Junior Data Engineer

Greystar Worldwide, LLC; Michigan; On-site; USD 75,000 - 85,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Paid time off

Housing discount on Greystar-managed"

401(k) with company match

Parental leave

Employee assistance program

Sabbatical after 10 years

Job summary

Greystar Worldwide, LLC in Michigan seeks a Junior Data Engineer to support the development, maintenance, and optimization of data solutions enabling business intelligence and analytics. You will collaborate with senior engineers, analysts and stakeholders to build data pipelines and ensure reliable data access.

The ideal candidate has a Master’s degree preferred and 0–3 years of experience, with SQL familiarity and Python/PowerShell scripting, plus a desire to learn cloud-based data

Qualifications

• Master's Degree in Computer Science, Information Systems, Information Technology, Data Analytics, Mathematics, Engineering, or related field preferred.
• 0-3 years of experience in data engineering, software development, data analytics, or related field.
• Basic understanding of database concepts, data structures, and data integration techniques.
• Familiarity with SQL and relational databases.
• Experience with Python, PowerShell, or another scripting language.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively and collaborate within a team.
• Eagerness to learn new technologies and data engineering best practices.

Responsibilities

• Assist in the development, testing, and maintenance of data pipelines and data integration processes.
• Support the collection, transformation, and loading of data from various source systems.
• Perform data profiling and basic source system analysis to identify data quality issues and improvement opportunities.
• Write, maintain, and optimize SQL queries and data transformation logic.
• Help validate data accuracy, completeness, and consistency across systems.
• Participate in troubleshooting and resolving data-related issues and production support requests.
• Assist in creating and maintaining source-to-target mapping documentation and technical specifications.
• Support data warehouse and reporting initiatives through data preparation and validation activities.
• Monitor data processes and report performance or quality concerns to senior team members.
• Contribute to the implementation of Azure-based data solutions and services.
• Follow established DevOps, CI/CD, and data governance practices.
• Collaborate with data engineers, analysts, data scientists, and business stakeholders to support project delivery.
• Document processes, workflows, and technical solutions.
• Continuously develop technical skills and stay informed of emerging data technologies and best practices.
• Perform other duties as assigned

Skills

Analytical thinking

Team collaboration

Problem-solving

Learning mindset

Education

Master's degree in CS/IS/IT/Data Analytics

Tools

Azure

SQL

Python

PowerShell

Git

Azure Data Factory

Azure Synapse

Databricks

Job description

ABOUT GREYSTAR

Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally. Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com.

JOB DESCRIPTION SUMMARY

The Junior Data Engineer supports the development, maintenance, and optimization of data solutions that enable business intelligence, reporting, and analytics across the organization. This role works closely with senior data engineers, architects, analysts, and business stakeholders to help build and support data pipelines, improve data quality, and ensure reliable access to data. The ideal candidate is eager to learn modern cloud-based data technologies and contribute to the organization's data and analytics initiatives.

All work must comply with company policies and procedures, as well as applicable state and federal laws, regulations, and industry standards.

JOB DESCRIPTION

Key Responsibilities:

• Assist in the development, testing, and maintenance of data pipelines and data integration processes.
• Support the collection, transformation, and loading of data from various source systems.
• Perform data profiling and basic source system analysis to identify data quality issues and improvement opportunities.
• Write, maintain, and optimize SQL queries and data transformation logic.
• Help validate data accuracy, completeness, and consistency across systems.
• Participate in troubleshooting and resolving data-related issues and production support requests.
• Assist in creating and maintaining source-to-target mapping documentation and technical specifications.
• Support data warehouse and reporting initiatives through data preparation and validation activities.
• Monitor data processes and report performance or quality concerns to senior team members.
• Contribute to the implementation of Azure-based data solutions and services.
• Follow established DevOps, CI/CD, and data governance practices.
• Collaborate with data engineers, analysts, data scientists, and business stakeholders to support project delivery.
• Document processes, workflows, and technical solutions.
• Continuously develop technical skills and stay informed of emerging data technologies and best practices.
• Perform other duties as assigned

Basic Qualifications:

• Masters Degree in Computer Science, Information Systems, Information Technology, Data Analytics, Mathematics, Engineering, or a related field preferred.
• 0-3 years of experience in data engineering, software development, data analytics, or a related technical field.
• Basic understanding of database concepts, data structures, and data integration techniques.
• Familiarity with SQL and relational databases.
• Experience with Python, PowerShell, or another scripting language.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively and collaborate within a team environment.
• Eagerness to learn new technologies and data engineering best practices.

Preferred Qualifications:

• Exposure to cloud platforms such as Microsoft Azure.
• Familiarity with ETL/ELT concepts and data pipeline development.
• Basic knowledge of data warehousing concepts and dimensional modeling.
• Experience with Git or other version control tools.
• Exposure to DevOps and CI/CD methodologies.
• Experience with reporting or visualization tools such as Power BI.
• Internship, co-op, academic project, or professional experience involving data management or analytics.

Specialized Skills:

• SQL query development and data analysis.
• Basic Python or PowerShell scripting.
• Understanding of data quality and data validation techniques.
• Familiarity with Azure Data Factory, Azure Synapse Analytics, Databricks, or similar technologies is a plus.
• Knowledge of data governance and security best practices.
• Strong organizational skills and attention to detail.
• Ability to manage multiple priorities in a fast-paced environment

The salary range for this position is $75,000–85,000K USD Annually

Additional Compensation

Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location.

• Corporate Positions:Inaddition to the base salary, this role may be eligible to participateina quarterly or annual bonus program based onindividual and company performance.
• Onsite Property Positions:Inaddition to the base salary, this role may be eligible to participatein weekly, monthly, and/or quarterly bonus programs.

Robust Benefits Offered*

• Competitive Medical, Dental, Vision, and Disability & Lifeinsurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.
• Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.
• For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
• 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
• 401(k) with Company Match up to 6% of pay after 6 months of service.
• Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
• Employee Assistance Program.
• Critical Illness, Accident, HospitalIndemnity, PetInsurance and Legal Plans.
• Charitable giving program and benefits.

*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listedinformation above due to Collective Bargaining Agreements and/or local governing authority.

Greystar will consider for employment qualified applicants with arrest and conviction records.

Greystar is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law.