Remote Aws Data Engineer Jobs in Denver, PA (NOW HIRING)

Primary location: Lancaster, Pennsylvania 
Relocation offered: No 
Employment status: Full-Time 
Travel: <10% 
Non-compete: No 

The estimated base salary range for this role is $125,000 to $145,000 per year.  
Individual pay is based upon location, skills and expertise, experience and other relevant factors

What does it mean to work at Armstrong?

It means being immersed in a supportive culture that recognizes you as a key player in Armstrong's future. We are a large company with a local feel, where you will get to know and collaborate with leadership and your colleagues across the company.

By joining us, you'll have the opportunity to make the most of your potential. Alongside a competitive remuneration package, you will receive:

• A benefits package including: medical, dental, prescription drug, life insurance, 401k match, long-term disability coverage, vacation and sick time, product discount programs and many more.
  
• Personal development to grow your career with us based on your strengths and interests.
  
• A casual work environment where we have a recognition program for our team, and service awards. You will also be able to make the most of our fitness center and lunchtime cafe. 
  
• A working culture that balances individual achievement with teamwork and collaboration. We draw on each other's strengths and allow for different work styles to build engagement and satisfaction to deliver results. 
  

Armstrong is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that enable advanced analytics, AI, and data-driven decision-making across the organization. The ideal candidate has strong technical skills, experience working with modern data platforms, and a passion for solving complex data challenges.

What You'll Do

• Design and Develop Data Pipelines: Build and optimize data pipelines for batch and real-time data ingestion, transformation, and delivery. Use LLMs to automate routine tasks such as generating boilerplate code, writing documentation, and creating ETL workflows from natural language descriptions.
• Data Modeling and Data Lakehouse Development: Design and implement efficient, scalable data models to support analytics, reporting, and machine learning initiatives.
• Data Architecture and Harmonization:  Design and build scalable data architecture - bringing in and marrying data from disparate systems including structured, semi-structured, and unstructured data ensuring quality data. Use the semantic understanding of LLMs to identify and correct errors in unstructured data.
• ETL/ELT Development: Develop robust ETL/ELT workflows using modern tools (e.g., dbt, Airflow, Databricks, Glue).
• Data Integration: Ingest and integrate data from multiple internal and external sources (APIs, databases, cloud services).
• Cloud Data Infrastructure: Manage and optimize data environments on platforms such as AWS, Azure, or GCP (e.g., Databricks, Snowflake, etc).
• Data Quality & Governance: Implement data validation, quality standards, governance frameworks, lineage, and monitoring processes to ensure accuracy and reliability. Apply LLMs to analyze log files and data patterns to identify potential issues, detect anomalies, and perform root cause analysis.
• Collaboration: Partner with data scientists, analysts, and business stakeholders to deliver reliable, well-structured datasets.
• Automation & Optimization: Continuously improve data workflows for scalability, cost efficiency, and performance. 

What will make you successful 

• Technical Skills:
• Proficiency in SQL and at least one programming language (Python, Scala, or Java).
• Experience with data lakehouse technologies (Databricks, Snowflake).
• Familiarity with data pipeline/orchestration tools
• Knowledge of cloud services (AWS, Azure, GCP).
• Experience with CI/CD, version control (Git), and infrastructure-as-code is a plus.
• Experience with SAP BW, Datasphere, Business Data Cloud
• Experience supporting machine learning or advanced analytics pipelines.
• Experience with LLMs and Prompt Engineering.

• Soft Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).
• 5+ years of experience as a Data Engineer or similar role.

What will make you stand out

• Certification in technical discipline (SAP, Databricks, AI) is preferred.

Why should you join Armstrong World Industries?

Armstrong World Industries (AWI) is an Americas leader in the design and manufacture of innovative interior and exterior architectural applications including ceilings, specialty walls and exterior metal solutions. With approximately $1.4 billion in revenue, AWI has about 3,700 employees and a manufacturing network of 21 facilities in North America.

At home, at work, in healthcare facilities, classrooms, stores, or restaurants, we offer interior solutions that help to enhance comfort, save time, improve building efficiency and overall performance, and create beautiful spaces.

For more than 160 years, we have built our business on trust and integrity. It set us apart then, and it sets us apart now, along with our ability to collaborate with and innovate for the people we're here to serve - our customers, our shareholders, our communities and our employees.

We are committed to developing new and sustainable architectural solutions, with design and performance possibilities that make a positive difference in spaces where we live, work, learn, heal and play. It's an exciting, rewarding business to be in, and we're committed to continue to grow and prosper for the benefit of all of our stakeholders. We hope you join us.

Our Sustainability Ambition

"Bringing our Purpose to Life" - lead a transformation in the design and building of spaces fit for today and tomorrow.
We are committed to:

• Engaging a diverse, purpose-driven workforce;
• Transforming buildings from structures that shelter into structures that serve and preserve the health and well-being of people and planet;
• Pursuing sustainable, innovative solutions for spaces where we live, work, learn heal and play;
• Being a catalyst for change with all of our stakeholders; and
• Making a positive difference in the environments and communities we impact.

About the location (Lancaster PA)

Lancaster, PA. A great central location in South Central Pennsylvania, Lancaster is ideally situated for easy access to major metropolitan cities such as Philadelphia, Baltimore, Washington DC, and New York City. Lancaster offers a vibrant arts and entertainment community with wonderful historic sites, B&Bs, museums, great shopping, entertainment venues and restaurants.

Armstrong is committed to engaging a diverse, purpose-driven workforce.  As part of our dedication to diversity, AWI is committed to Equal Employment Opportunity and all qualified applicants receive consideration for employment without regard for race, sex, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at by email at AWI talent acquisition and let us know the nature of your request and your contact information. Requests for accommodation will be evaluated on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Come and build your future with us and apply today!