Integrity is Everything I We Take the Long View I We believe People Matter I We Stand for Excellence I We Love our Jobs I We InnovateJob title:Department:Location:Terms:

Full Time – Hybrid work model (subject to Berkadia policy changes)

Split Shift (3:00pm to 12:00am)

Working HoursReports ToThe Opportunity

As a member of the Data Pipeline team you will be at the Center of building our platform that enables us to redefine the Commercial Real Estate industry. We are building a data pipeline that merges with the tested design of data warehousing and the latest big data technologies. You will own features and modules end to end — designing basic solutions, delivering high-quality maintainable code, and securing core data elements.

In this role, individual will be required to work on one or multiple aspects of Innovation verticals with the following key responsibilities –

Essential Duties (Primary Responsibilities) include the following:

Conduct data research of companies in the commercial real estate industry
Research new knowledge and collaborate on solutions for assigned projects; share learnings with the team and peers
Implement and release data applications in AWS using big data technologies for owned features and modules
Provide valuable input and support during design and planning; help teammates ensure design specifications are met
Deliver high-quality, easy-to-maintain code; debug and resolve issues within the feature or module area of responsibility
Identify feature and module dependencies, critical paths, and risks; propose mitigation plans
Mentor co-workers within areas of expertise; present knowledge informally to peers
Other duties as assigned

Your QualificationEducation:

Any bachelor’s degree (Computer Science, Engineering, Information Systems, or a closely related technology field; or equivalent practical experience)
Preferably Post Graduate degree including MBA/PGDBM

Qualifications:

Qualifications to perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the experience required:

Bachelor’s degree or higher
2–5+ years of professional experience in data engineering or a closely related field.
2–4 years of hands‑on Apache Spark experience (PySpark preferred)
Proven experience building and maintaining ETL/ELT pipelines using tools/frameworks such as PostgreSQL, Docker, Apache Airflow, AWS Step Functions, or similar.
Working knowledge of scalable languages such as Python, Scala, or R for data processing and algorithm implementation

Integrity is Everything I We Take the Long View I We believe People Matter I We Stand for Excellence I We Love our Jobs I We InnovateJob title:Department:Location:Terms:

Full Time – Hybrid work model (subject to Berkadia policy changes)

Split Shift (3:00pm to 12:00am)

Working HoursReports ToThe Opportunity

In this role, individual will be required to work on one or multiple aspects of Innovation verticals with the following key responsibilities –

Essential Duties (Primary Responsibilities) include the following:

Conduct data research of companies in the commercial real estate industry
Research new knowledge and collaborate on solutions for assigned projects; share learnings with the team and peers
Implement and release data applications in AWS using big data technologies for owned features and modules
Provide valuable input and support during design and planning; help teammates ensure design specifications are met
Deliver high-quality, easy-to-maintain code; debug and resolve issues within the feature or module area of responsibility
Identify feature and module dependencies, critical paths, and risks; propose mitigation plans
Mentor co-workers within areas of expertise; present knowledge informally to peers
Other duties as assigned

Your QualificationEducation:

Any bachelor’s degree (Computer Science, Engineering, Information Systems, or a closely related technology field; or equivalent practical experience)
Preferably Post Graduate degree including MBA/PGDBM

Qualifications:

Qualifications to perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the experience required:

Bachelor’s degree or higher
2–5+ years of professional experience in data engineering or a closely related field.
2–4 years of hands‑on Apache Spark experience (PySpark preferred)
Proven experience building and maintaining ETL/ELT pipelines using tools/frameworks such as PostgreSQL, Docker, Apache Airflow, AWS Step Functions, or similar.
Working knowledge of scalable languages such as Python, Scala, or R for data processing and algorithm implementation

Data Engineer

Skills

Must have

Nice to have

Full description

Integrity is Everything I We Take the Long View I We believe People Matter I We Stand for Excellence I We Love our Jobs I We InnovateJob title:Department:Location:Terms:

Working HoursReports ToThe Opportunity

Your QualificationEducation:

Qualifications:

Data Engineer

Skills

Must have

Nice to have

Full description

Integrity is Everything I We Take the Long View I We believe People Matter I We Stand for Excellence I We Love our Jobs I We InnovateJob title:Department:Location:Terms:

Working HoursReports ToThe Opportunity

Your QualificationEducation:

Qualifications:

While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add, or remove duties and to assign other duties, as necessary.