PIIM Data Engineer, Cardinal

United States Digital Space LLC; Reynoldsburg (OH); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Employee referral bonus

Relocation assistance

Job summary

The PIIM Data Engineer role at United States Digital Space LLC supports a data-centric delivery model by designing, building, and maintaining the project's analytics data environment. You will develop scalable data pipelines, integrate data across systems, and create trusted datasets for reporting, automation, and AI capabilities.

This position requires strong SQL, data modeling, Python coding, and experience with data lakes, Power BI, and cloud platforms; collaboration with multiple teams is

Qualifications

• Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience.
• Strong SQL and data modeling experience in relational databases; ETL/ELT development; data pipeline construction.
• Experience with Python for data transformation; knowledge of data lake architectures; Power BI reporting experience.

Responsibilities

• Develop and maintain scalable data pipelines and workflows to ingest, transform, and provision data into the project analytics data lake.
• Collaborate with teams to onboard data sources, implement data governance, and optimize data models and performance.
• Support reporting platforms with performant datasets for Power BI and analytics tools; enable AI/ML data support.

Skills

SQL

Data modeling

ETL/ELT

Python

Power BI

Azure Databricks

Delta Lake

APIs & Data exchange

Data governance

Education

Bachelor's degree or international equivalent

Tools

Power BI

Azure Databricks

Delta Lake

Job description

• Relocation Authorized: National - Accompanied • Grade: 25 • Position to be Panel Interviewed? Yes • Telework Type: Full-Time Office/Project • Work Location: New Albany, OH • Employee Referral Amount: $2,500.00

Extraordinary teams building inspiring projects

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.

Core to the company is our Vision, Values and Commitments . They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report .

Project Overview

the company Manufacturing and Technology (M&T) is an exciting and growing business that serves the increasing demand of EPC services for customers in the semiconductor (manufacturing facilities and supply chain); data center, electric vehicle (batteries, charging infrastructure, and production); and life sciences markets.M&T strives to exceed our customer objectives through utilizing our agility, innovative technologies, and world class talent. M&T will solve the industries toughest challenges, building both our company and the world for the future.Headquartered in the U.S. with employees in various states, M&T also has colleagues in the United Kingdom, India, and other locations while we actively pursue exciting opportunities in other parts of the world. We are looking for talented people to join our team that are passionate about making a difference and contributing to historical projects that will have a lasting impact on society.

Job Summary

The PIIM Data Engineer supports the company's data-centric delivery model by designing, building, and maintaining the project's analytics data environment. This role is responsible for developing scalable data pipelines, integrating data across project systems, and creating trusted datasets that enable reporting, analytics, automation, and emerging AI capabilities. The position serves as a key technical resource supporting project execution through data-driven solutions and advanced analytics. #LI-SM2

Major Responsibilities

• Develop and maintain scalable data pipelines and workflows to ingest, transform, and provision data from multiple project systems into the project analytics data lake. • Manage data ingestion and exchange across tools, ensuring reliable, timely, and accurate movement of data between systems. • Serve as the project subject matter expert for the analytics data lake environment, including data architecture, access patterns, performance optimization, and advanced analytics support. • Collaborate with project teams and system owners to define data requirements, onboard new data sources, and support system integrations. • Build and maintain ETL/ELT processes and optimize SQL data models. • Develop curated datasets to support reporting, dashboards, analytics, and downstream applications. • Ensure data quality, consistency, and completeness across project systems. • Support reporting platforms by delivering performant datasets for Power BI and other analytics tools. • Support the development and deployment of AI, machine learning, and agent-based solutions by preparing data and operationalizing outputs into project workflows. • Enable automation and data-driven solutions that improve project execution, productivity, and decision making. • Support governance, security, and lifecycle management of project data assets. • Partner with PIIM, IS&T, Automation, Engineering, Construction, Quality, and Project Controls teams to improve data accessibility and integration.

Education and Experience Requirements

• Requires bachelor's degree (or international equivalent) and 5-8 years of relevant experience or 9-12 years of relevant work experience

Required Knowledge and Skills

Technical Knowledge

• Strong SQL and data modeling experience in relational databases.• Experience designing, building, and maintaining ETL/ELT solutions.• Experience developing and supporting data pipelines and workflows.• Programming experience in Python for data transformation, preparation, and pipeline development.• Understanding of data lake architectures and modern analytics platforms.• Experience with Power BI datasets, reporting architectures, and analytics solutions.• Knowledge of data quality management, validation, and governance principles.• Experience integrating data across multiple systems using APIs and data exchange frameworks.• Familiarity with cloud data platforms such as Azure Databricks and Delta Lake.• Understanding of AI/ML concepts and how data pipelines support advanced analytics solutions.

Functional Skills

• Ability to translate business and project requirements into scalable data solutions.• Strong analytical and problem-solving abilities.• Excellent stakeholder engagement and requirements-gathering skills.• Ability to communicate technical concepts to non-technical audiences.• Experience supporting cross-functional project teams.• Strong attention to detail and data accuracy.• Ability to prioritize work in a fast-paced project environment.• Continuous improvement mindset with a focus on automation and innovation.

Total Rewards/Benefits

For decades, the company has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, the company has the benefits to build a legacy of sustainable growth. Learn more at the company Total Rewards

Diverse teams build the extraordinary

As a global company, the company has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.

the company's internal staffing policy includes the minimum time that you need to be in your current position before applying to a new position. Please refer to the applicable policy manual and ensure you meet the minimum requirements.

Per Policy 203-Internal Staffing, the Functional Manager of all internal the company employees that are selected to proceed with an interview as part of the company's internal recruitment process will receive a notification including the position title and corresponding Functional Lead.