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Data Engineer

Job in Birmingham, Jefferson County, Alabama, 35275, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
  • Engineering
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

1 week ago
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Salary: $100,000 - $140,000 per year

Program Architect

We exist to make better buildings faster. We are part of a larger framework - Design Manufacture Construct (DMC) - that guides building design so that construction can leverage manufacturing productivity. We're made up of smart architects, engineers, manufacturers, programmers, and other generalists that are united by the notion that to make great things intelligently is a worthy pursuit.

We are seeking a talented and energetic Architect to join our design group.

Job description:

As a Program Architect, you will work with project teams in a dynamic, rapid‑growth work environment with bright and talented engineers, architects, designers, builders, crafters, and manufacturers to improve and deploy a prototype building program and to build an alternative to the traditional construction industry. From desk to factory floor to job sites and client meetings, you will be challenged to develop your skills in a new field, taking a critical role in project delivery via the DMC methodology.

Benefits

We offer the full spectrum of comprehensive benefits including health, dental, and vision insurance. We also offer flexible spending accounts, paid time off, short‑term disability, long‑term disability, life insurance, and a 401(k) plan.

Data Analyst – Estimating Department Overview

The Data Analyst within the Estimating Department plays a critical role in transforming raw data into actionable insights that enhance cost modeling, forecasting, and strategic decision‑making. This position supports the development and continuous improvement of cost estimation systems, leveraging data analytics, automation, and AI to improve accuracy, efficiency, and cross‑departmental collaboration. The ideal candidate blends technical expertise in analytics with a strong understanding of construction, manufacturing, and cost estimating workflows.

Key Responsibilities
  • Develop and maintain comprehensive cost databases, integrating Bills of Materials, historical cost benchmarks, and market pricing data across multiple U.S. regions.
  • Support the creation of ground‑up and comparative cost models through advanced data analysis and visualization techniques.
  • Leverage AI, machine learning, and statistical modeling to identify trends, enhance estimate accuracy, and optimize value engineering processes.
  • Partner with Estimating, Design, Manufacturing, Construction, Supply Chain, and Finance teams to integrate cost, schedule, and risk data into enterprise platforms.
  • Design and automate data pipelines (ETL/ELT) to streamline cost reporting, performance tracking, and KPI dashboards.
  • Prepare and analyze conceptual, schematic, and GMP estimate data to support preconstruction and client engagement activities.
  • Develop and communicate risk analyses, pricing strategies, and value‑driven insights to support leadership decision‑making.
  • Continuously improve data integrity, estimation accuracy, and reporting capabilities through feedback loops and predictive analytics.
Skills & Abilities Core Competencies
  • Advanced proficiency in Excel and BI tools for data visualization and analytics.
  • Strong understanding of cost modeling, estimating methodologies, and financial principles.
  • Ability to interpret CAD, Revit, and Solid Works outputs to extract data for analytical use.
  • Experience working with manufacturing or industrial data; familiarity with mechanical/electrical systems a plus.
  • Strong collaboration and communication skills to translate complex data into meaningful insights for technical and non‑technical stakeholders.
Technical Excellence (Preferred But Valuable)
  • Programming & Data:
    Python, SQL, and data modeling; experience with distributed computing (Spark, Ray).
  • Analytics & AI:
    Statistical modeling, predictive analytics, machine learning, and retrieval‑augmented generation (RAG).
  • Data Engineering: ETL/ELT processes, schema evolution, data validation, and integration with enterprise…
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