Masco
Data Engineer
US - Michigan - Livonia · Full-time
Sponsorship not specified$76k-$120kDetected 4 hours ago
PythonScalaSQLDatabricksAzureCloud PlatformsCI/CDDevOpsAPI DevelopmentRESTMachine LearningSparkData AnalysisData EngineeringData VisualizationMLOpsIncident ResponseUnityResearch
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26Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
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About the role
- The engineer contributes across the full pipeline lifecycle - ingestion, data quality, transformation, and enrichment - including the pipeline-side execution of the enterprise attribution crosswalk.
- Depending on assignment, the Data Engineer may focus more heavily on ingestion or on quality and pipeline development, but the role covers all aspects.
- Skills & Competencies - Detail-oriented and thorough.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related field
- Experience delivering production pipelines and supporting them in an operational setting.
Nice to have
- Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.
- Experience with Databricks Unity Catalog, data lineage, and observability tools.
- Familiarity with ML/AI integration ( MLflow, Azure ML) and DataOps / MLOps practices.
- Experience with Microsoft Tabular models and the DAX language.
- Experience with at least one data analysis tool such as Power BI, Tableau, etc.
- The Company makes employment decisions only based on merit.
- The Company is committed to complying with all applicable laws providing equal employment opportunities.
- This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Skills
- Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services).
- Strong working knowledge of the medallion architecture (bronze / silver / gold) for structuring Lakehouse solutions.
- Familiarity with Microsoft Fabric and how it fits alongside Databricks in a modern enterprise data platform.
- Strong proficiency in Python (or Scala) for data engineering.
- Experience with RESTful API development for data acquisition and ingestion from retailer and third-party sources.
- Working knowledge of distributed processing (Apache Spark) and Lakehouse principles - ACID storage, schema enforcement, versioning.
- Solid understanding of CI/CD, DevOps, and automation for data workflows.
- Strong understanding of Kimball dimensional modeling, including snapshot/transactional fact tables and conforming dimensions.
- Understanding of data governance, security, and compliance as they apply to data engineering.
- Skills & Competencies
- Detail-oriented and thorough. Considers all aspects of a data problem, including how the small pieces relate to the larger picture.
- Highly self-motivated and self-directed. Operates with minimal oversight on complex, hands-on data work.
Compensation
- Hiring Range: $76,400.00 - $120,010.00 USD
Company info
- Hiring Range: $76,400.00 - $120,010.00 USD
- Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
- Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position.
- It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law.
- E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.
- E-Verify Participation Poster: English & Spanish
- E-verify Right to Work Poster: English, Spanish
This listing is sourced directly from Masco's careers page and normalized into a canonical job model.