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Senior Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Mace
Part Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
  • Engineering
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 180000 USD Yearly USD 150000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities and societies across the globe. To learn more about our purpose, culture, and priorities, visit our strategy site.

Within our business we harness our unique combination of leading-edge practical expertise and project delivery to unlock the potential in every project.

Our Values

These values shape the way we consult, and define the people we want to join us on our journey. They are:

  • Safety First - Going Home Safe And Well
  • Client Focus - Deliver On Our Promise
  • Integrity - Always Do The Right Thing
  • Create Opportunity - For Our People To Excel
You’ll Be Responsible For
  • Designing and delivering scalable data products in the data Lakehouse, working alongside the data product owner and software engineering partners.
  • Defining and aligning business definitions, KPIs, and metric logic across stakeholders.
  • Building and optimizing reliable ELT/ETL pipelines for structured and unstructured data.
  • Ingesting and modeling sensor and utilization data to generate data-driven insights and build reusable analytics assets that influence global design standards.
  • Partnering with the BIM team to understand model data, and extract cost, design, sustainability, and quality assurance insights from models.
  • Operationalizing pipelines to parse and transform BIM data and metadata for analytics.
  • Delivering production-grade dashboards and models integrated with PMO workflows and controls.
  • Help to design, build, and operationalize an ML model to predict project cost. Defining features, training and validation strategies, and MLOps processes (versioning, deployment, monitoring, model governance).
You’ll Need To Have
  • Strong data engineering experience using Python and SQL, delivering production-grade pipelines and data products.
  • Expertise in data modelling and pipeline design for Lakehouse/warehouse environments.
  • Strong technical communication skills: able to clarify ambiguous requirements and translate them into actionable designs.
  • Proven stakeholder engagement and the ability to drive complex cross-functional projects end-to-end.
  • High attention to detail.

Please Note: The estimated salary for this position is $150K-$180k. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills and qualifications.

Mace is an inclusive employer and welcomes interest from a diverse range of candidates. Even if you feel you do not fulfil all the criteria, please apply as you may still be the best candidate for this role or another role within our organization.

We are also open to discussing part time, flexible, and hybrid working options if suitable within the role.

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Position Requirements
10+ Years work experience
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