Manager, Data Engineering

Cornerstone Building Brands, Inc.; Cary, Northern (NC, KY); Hybrid; USD 145,000 - 165,000; Full time

Benefits offered by this job

Medical, dental and vision benefits (5

401k and PTO

Job summary

Cornerstone Building Brands is seeking a hands-on Data Engineer to own and expand the data infrastructure behind our Siding & Accessories analytics function. You will manage SQL Server, ensure clean data flow from source systems to models and dashboards, and own master/reference data to guarantee reconciled numbers across stakeholders.

You will build ingestion for external market data, validate data, and own end-to-end data pipelines across the commercial domains.

Qualifications

• 7+ years of hands-on SQL Server experience.
• Proficiency with Python for data work.
• Experience managing and maintaining a production database.
• Familiarity with Power BI (or Tableau) and clean data models.
• Experience with cloud data platforms (Snowflake, Azure, AWS).

Responsibilities

• Own and maintain the commercial SQL Server database — tables, views, stored procedures, data integrity, and performance.
• Write, optimize, and troubleshoot SQL queries daily.
• Own the end-to-end data flow: source systems → SQL Server → Power BI.
• Build and maintain ingestion for external market data and join it to internal data.
• Monitor production incidents and data quality issues independently.
• Own data validation and quality assurance processes.
• Manage master and reference data behind commercial reporting.
• Develop crosswalks and mapping tables for data reconciliation.
• Standardize and de-duplicate reference data with clear definitions.
• Handle changes to master/reference data with history in mind.
• Act as data steward for these datasets and definitions.
• Design and expand data pipelines across sales, market, product, customer domains.
• Ingest external market data feeds and ensure lineage.
• Document and reverse-engineer existing transformations for reliability.
• Adopt ETL tools to strengthen pipelines.
• Serve as data expert translating business needs into data requirements.

Skills

SQL Server

JD Edwards

Python

Data pipelines

Data modeling

Data quality

Problem solving

Tools

SSIS

Azure Data Factory

Power BI

Snowflake

Job description

Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and low-rise non-residential buildings in North America. Headquartered in Cary, N.C., we serve residential and commercial customers across the new construction and Repair & Remodel (R&R) markets. Our market-leading portfolio of products spans vinyl windows, vinyl siding, stone veneer, metal roofing, metal wall systems and metal accessories. Cornerstone Building Brands’ broad, multi-channel distribution platform and expansive national footprint includes more than 18,800 team members at manufacturing, distribution and office locations throughout North America. Corporate stewardship and Environmental, Social and Governance (ESG) responsibility are embedded in our culture. We are committed to contributing positively to the communities where we live, work and play. For more information, visit us at http://cornerstonebuildingbrands.com .

Job Description

We're looking for a hands-on data engineer to own, maintain and expand the data infrastructure behind our Siding & Accessories commercial analytics function. This is not a business analyst role that touches data occasionally — it's a technical role that puts you in the database every day, writing queries, building and maintaining pipelines, curating the master and reference data everything joins to, and guaranteeing the integrity of the data that sales, product, customer, and market reporting depend on.

You will own the commercial database from day one. You'll manage the SQL Server environment, keep data flowing cleanly from our source systems into the models and dashboards the business runs on, and build the pipelines that bring together sales, product, customer, and external market data into one trusted commercial dataset. Just as important, you'll own the master and reference data — the customer, product, and territory definitions everything reconciles to — so the numbers tie out no matter who's asking. If you've owned a production database, built and troubleshot data pipelines end to end, and can write SQL in your sleep, this role is for you.

Primary Responsibilities:

• Own and maintain the commercial SQL Server database — tables, views, stored procedures, data integrity, and performance.
• Write, optimize, and troubleshoot SQL queries daily. This is hands-on work, not oversight.
• Own the end-to-end data flow: source systems (JDE and others) → SQL Server commercial database → Power BI. Ensure data moves correctly, transformations are accurate, and outputs are validated before they reach stakeholders.
• Build and maintain ingestion for external, third-party market data (industry, competitive, and share sources) and join it cleanly to internal sales, product, and customer data — reconciling keys, grain, and definitions across sources.
• Monitor and respond to production incidents independently — pipeline failures, file failures, data quality issues. You triage, engage the right teams, and communicate status. You don't wait for someone to tell you what to do.
• Own the data validation and quality assurance process. If data goes out wrong, it's on you to catch it first.
• Own the master and reference data behind commercial reporting — customer, product, and sales-hierarchy / territory (e.g., TSM / RSM) masters — so every downstream model joins to one consistent, trusted set of definitions.
• Build and maintain the crosswalks and mapping tables that reconcile codes and hierarchies across source systems, and between internal data and external market data.
• Standardize, de-duplicate, and validate reference data, and enforce clear definitions and naming so the same entity means the same thing everywhere it's used.
• Manage changes to master and reference data with an eye to history — version or effective-date changes so a mapping update doesn't silently rewrite prior reporting.
• Act as data steward for these datasets: document what they are, who owns them, and how they refresh, and be the point of contact when a definition or hierarchy is in question.
• Design, build, and expand data pipelines across the four commercial domains — sales, market, product, and customer — as reporting and analytics needs grow.
• Stand up and operationalize ingestion for external market data feeds (APIs, purchased datasets, scheduled files), including refresh cadence, error handling, and lineage.
• Document and reverse-engineer existing transformation logic, and improve the architecture for reliability, performance, and maintainability.
• Evaluate and adopt ETL / integration tooling where it strengthens the pipeline, and reduce brittle or undocumented dependencies over time.
• Serve as the data expert for the Commercial Analytics team — translate business needs into data requirements and explain data outputs in business terms.
• Partner with the Director of Customer Data & Analytics and business stakeholders to ensure the data infrastructure supports commercial operations and decisions.
• Coordinate with source-system owners and IT partners to secure reliable, well-understood data feeds.

Qualifications

• 7+ years of hands-on SQL Server experience.
• Hands-on experience with JD Edwards (JDE).
• Proficiency with Python for data work.
• Experience managing and maintaining a production database.
• Strong understanding of data flow and integration between systems.
• Experience integrating data from multiple sources.
• Experience owning master or reference data.
• Experience with data validation and quality assurance.
• Independent problem-solving and operational ownership.
• Experience leading or contributing to a data platform build or migration.
• Experience with ETL tools or integration platforms (SSIS, Azure Data Factory, Boomi, Informatica, or similar).
• Experience ingesting external / third-party data (industry, market, competitive, or share data) via APIs, purchased datasets, or scheduled files.
• Familiarity with Power BI (or Tableau) and an understanding of what downstream reporting needs from a clean data model.
• Exposure to master data management (MDM) or data governance practices — stewardship, reference-data versioning, or maintaining a canonical set of business definitions.
• Experience with cloud data platforms (Snowflake, Azure, AWS).
• Experience in manufacturing, building products, or B2B distribution industries.
• Familiarity with R or other analytics/scripting languages beyond Python.

Additional Information

The US base salary range for this full-time position is $145,000 - $165,000 + bonus + medical, dental, vision benefits starting day 1 + 401k and PTO. Our salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. (Full-time is defined as regularly working 30+ hours per week.)

All your information will be kept confidential according to EEO guidelines.

#Fortify

Why work for Cornerstone Building Brands?

Our teams are at the heart of our purpose to positively contribute to the communities where we live, work and play. Full-time team members receive medical, dental and vision benefits starting day 1. Other benefits include PTO, paid holidays, FSA, life insurance, LTD, STD, 401k, EAP, discount programs, tuition reimbursement, training, and professional development.

*Full-time is defined as regularly working 30+ hours per week. **Union programs may vary depending on the collective bargaining agreement.

Cornerstone Building Brands is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, or status as a protected veteran. You can find the Equal Employment Opportunity Poster here . You can also view Your Right to Work Poster here along with This Organizations Participation in E-Verify Poster here .If you'd like to view a copy of the company's affirmative action planfor protected veterans or individuals with disabilities or policy statement, please contact Human Resources at 281-897-7788 or [e-mail]. If you have a disability and you believe that you need a reasonable accommodation in order to search for a job opening or to submit an online application, please contact Human Resources at 281-897-7788 or [e-mail]. This email is used exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails received for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.

All your information will be kept confidential according to EEO guidelines.

Must be at least 18 years of age to apply.

Note to External Recruiters

Cornerstone Building Brands does not accept unsolicited resumes and will not pay fees for any candidate submissions that were not expressly authorized.

Notice of Recruitment Fraud

We have been made aware of multiple scams whereby unauthorized individuals are using Cornerstone Building Brand's name and logo to solicit potential job-seekers for employment. In some cases, job-seekers are being contacted directly, both by phone and e-mail. In other instances, these unauthorized individuals are placing advertisements for fake positions with both legitimate websites and fabricated ones. These individuals are typically promising high-paying jobs with the requirement that the job-seeker send money to pay for things such as visa applications or processing fees. Please be advised that Cornerstone Building Brands will never ask potential job-seekers for any sort of advance payment or bank account information as part of the recruiting or hiring process.

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