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About Us Perform Properties is a Blackstone Real Estate portfolio company focused on high‑performing retail and office properties with people‑appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, we oversee approximately 30 million square feet of properties across the U.S. Our culture is built on our OneTeam foundation - a shared commitment to collaboration, innovation, and knowledge sharing across roles, teams, and time zones. Guided by this foundation, our OneTeam Core Values define how we show up every day: · Act with Intention · Make It Happen · Raise the Bar · Stay Curious · Win as One Join a team where performance and partnership go hand in hand. Role Summary Our Analytics Engineer turns raw, multi-source data into trusted, well-modelled datasets that the whole business can use. Sitting between Data Engineering and Analytics, this role owns the transformation layer: the models, tests, and documentation that feed reporting, BI, and AI across Investments, Portfolio, Operations and Finance. This is a hands-on, high-leverage role, building the curated, source-of-truth foundation that lets Perform automate reporting, cut the coordination tax between systems, and shorten the time-to-Insight for decision-makers. This role reports to the Vice President, Data & Analytics and is based in the office, 5 days a week. Essential Job Functions Build data transformation layers that deliver clean, unambiguous, stakeholder-ready information to our data warehouse Shift measurement decisions from ad-hoc queries and BI tools to flexible silver and gold data layers Enable recurring, exploratory, and self-service reporting capabilities, driving stakeholders to make faster, better-informed decisions in their daily work Ensure data quality via documented lineage, automated checks, and clear definitions, making our results trustworthy by default Support data governance & stakeholder engagement, encouraging accuracy in interpretation Model the successful use of AI as a capability, leveraging data model outputs via MCPs, and balancing AI tooling efficiencies with domain expertise Qualifications and Technical Competencies 5+ years building data models and pipelines in an analytics engineering, data engineering and/or BI engineering role Advanced proficiency in SQL and DBT (or a comparable transformation and testing framework) Demonstrable success working with modern data warehouses (Databricks, Snowflake, BigQuery, RedShift) Experience with cloud infrastructure (Azure, AWS, or GCP) Experience with cloud-hosted data visualization tooling Working knowledge of dimensional modelling, curated / medallion-layer design, Git and CI/CD for analytics Demonstrable ability to translate business questions into durable data models with agreed metric definitions Strong requirements-gathering and stakeholder-management skills Nice-to-haves Advanced proficiency in Azure Platform as a Service Proficiency in common data engineering tools (Apache Airflow, Azure Data Factory) Advanced proficiency in common visualization tools (Tableau, PowerBI) Bachelor's Degree in Computer Science, Mathematics, Analytics, or relevant tertiary education Benefits & Compensation Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO). Base Salary Range: $135,000 - $185,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience. The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. Closing EEO Statement Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email recruiting@performproperties.com #LI-Onsite
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.