Data Engineer

Overview

The Tyndale Company is seeking a skilled Data Engineer to join our growing AI organization. This role will play a critical part in our mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, and business stakeholders to build and maintain robust data pipelines, ensuring our data architecture supports the full lifecycle of AI initiatives. This is an exciting opportunity to shape the data foundation of our AI and Machine Learning efforts, driving impactful insights and innovations.

HYBRID / REMOTE : Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate office location in Pipersville, PA (Bucks County).

The Tyndale Company is a private, 9x Top Workplace winner in PA and 4x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector – including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We're a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We're the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.

Please note : we are not partnering with outside agencies.

Responsibilities

• Data Pipeline Development : Design, build, and optimize data pipelines to support AI and ML projects. Enable real-time and batch data processing to meet diverse business needs.
• Data Integration and Management : Integrate data from various sources, including our ERP, SaaS platforms, and external APIs, to provide a unified data view for AI applications.
• Data Quality Assurance : Implement processes to ensure data quality, consistency, and accuracy across systems, working closely with data governance standards.
• Collaboration with Data Science and AI Teams : Partner with data scientists to understand data requirements for model development, deployment, and monitoring.
• Performance Optimization : Monitor and improve data pipeline performance, optimizing ETL processes, storage, and query performance as needed.
• Documentation and Best Practices : Develop and maintain documentation for data workflows and adhere to best practices for data engineering, including version control and testing.
• Data Visualization : Create data visualizations using PowerBI.

Qualifications

Benefits :

Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.

Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.

Competitive salary, 401(k) with matching, and bonus opportunities.

Training / certification / tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.

Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.

Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com / careers.

E.O.E

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