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Career Opportunities: Senior Data Engineer - Remote (522026)

Roles & Responsibilities

  • 10+ years’ experience in a manufacturing environment in data engineering or integration engineering
  • Strong expertise with Snowflake and experience extracting and integrating data from SAP and/or NetSuite
  • Proficiency in SQL, Python, Tableau, and ETL/ELT frameworks; solid data warehousing concepts
  • Experience with legacy data sources and flat file processing; familiarity with data governance basics

Requirements:

  • Design, build, and maintain ETL/ELT pipelines to extract data from legacy systems, APIs, databases, and cloud applications
  • Develop and optimize data integration processes between Snowflake, SAP, NetSuite, and other data sources
  • Implement data governance practices including metadata and data lineage; ensure data quality and analytics readiness
  • Collaborate with MDM, business analysts, and technical teams; monitor, troubleshoot, and support legacy modernization efforts

Job description

 

 

 

Job ID:  522026

Exempt

 

Oldcastle Infrastructure™, a CRH company, is the leading provider of utility infrastructure solutions for the water, energy, and communications markets throughout North America. We’re more than just a manufacturer of precast concrete, polymer concrete, or plastic products. We’re a trusted and strategic partner to engineers, contractors, distributors, specifiers, and more. With our network of more than 80 manufacturing facilities and more than 4,000 employees, we’re leading the industry with innovation and a safety-first mindset.

 

Oldcastle Infrastructure - Built For Life from Oldcastle Infrastructure on Vimeo.

 

 

 

Job Summary

 

Seeking a highly skilled Sr. Data Engineer to support the modernization of enterprise data by transforming legacy sources, implementing MDM capabilities, strengthening data quality visibility through Tableau, and optimizing integrations across Snowflake, SAP, NetSuite, and related systems. This role requires a forward-thinking engineer who can bridge legacy environments with modern platforms while driving scalable, governed data ecosystems. This role is ideal for someone who thrives in complex data environments and is experienced working with legacy system extracts, database integrations, and enterprise-scale ETL/ELT pipelines.

 

The Sr. Data Engineer will play a critical role in enabling clean, reliable, and timely data flow across Snowflake, SAP, future MDM tool, and multiple upstream and downstream business systems.

 

Job Location

 

  • This role will work remote based in the US. 

 

Job Responsibilities

 

  • Design, build, and maintain robust ETL/ELT pipelines to extract data from legacy systems, APIs, databases, and cloud applications.
  • Develop and optimize data integration processes between Snowflake, SAP, NetSuite, and other organizational data sources.
  • Implement strategies for large-scale data ingestion, transformation, and delivery.
  • Create and maintain scalable data models in Snowflake.
  • Ensure data quality, completeness, and consistency.
  • Transform complex legacy system extracts into structured, analytics-ready datasets.
  • Reverse-engineer existing data structures to support migration and modernization.
  • Implement data governance practices, including metadata and lineage.
  • Monitor and tune pipeline performance.
  • Collaborate with MDM, business analysts, and technical teams.
  • Troubleshoot integration and pipeline issues.
  • MDM tool selection and technical implementation.

 

Job Requirements

 

Required

  • 10+ years’ experience in a manufacturing environment.
  • Extensive experience in data engineering or integration engineering.
  • Strong expertise with Snowflake.
  • Experience extracting and integrating data from SAP and/or NetSuite.
  • Skilled and experienced in SQL, Python, Snowflake, Tableau, and ETL/ELT frameworks.
  • Familiarity with data warehousing concepts.
  • Experience with legacy data sources and flat file processing.

 

Preferred

  • Experience implementing a Master Data Management tool.
  • Experience with integration tools such as Informatica, SAP Data Services, or Fivetran.
  • Background in transforming legacy system data for migration or modernization.
  • Ability to create Tableau datasets and dashboards focused on data quality insights.
  • Familiarity with enterprise‑grade integration platforms supporting high‑volume, multi‑system connectivity.
  • Knowledge of MDM principles.
  • Background in manufacturing, supply chain, or ERP-focused environments.
  • Exposure to APIs or event-driven architectures.

 

Job Compensation

 

  • Salary range of $150,000 to $160,000/year
  • 15% annual bonus target
  • 401(k) plan​ / group retirement savings program​
  • Short-term and long-term disability benefits​​
  • Life insurance​
  • Health, dental, and vision insurance​
  • Paid time off ​
  • Paid holidays

 

What CRH Offers You

 

  • Highly competitive base pay
  • Comprehensive medical, dental and disability benefits programs
  • Group retirement savings program
  • Health and wellness programs
  • An inclusive culture that values opportunity for growth, development, and internal promotion

 

 

About CRH

 

CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.

 

If you’re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!

 

Oldcastle Infrastructure, a CRH Company, is an Affirmative Action and Equal Opportunity Employer.

 

EOE/Vet/Disability

 

CRH 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, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. 

 

AI tools may be used in certain stages of the employment lifecycle, such as candidate review; however, all final employment decisions will be made by a person.

 

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