Data Engineer II

Position Overview

Do you have a passion for leveraging data to help solve interesting business problems? At Kiewit, we believe analytics can help to create an exceptional experience for our most valued resource – our people. Kiewit Data Services’ technical team is seeking a Mid-Level Data Engineer.

At Kiewit, the scale of our operations is huge. Our construction and engineering projects span across the United States, Canada and Mexico, improving and connecting communities with every initiative.  We depend on our high-performing operations support professionals — they’re the glue that holds multiple areas of the business together and the catalysts that make things happen. We hire only the most driven people and we offer them diverse career opportunities, strong leadership and mentorship, rewarding, collaborative work, and responsibility they won’t find just anywhere. We’re always pushing new limits. You can too. 

District Overview

Kiewit Technology Group builds solutions to enable and support our company's expansive operations. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team utilizes systems and tools that manage every part of Kiewit's business and the project lifecycle to improve planning and day-to-day execution in the field. We give our people real-time data to make faster, smarter decisions. 

Location

This is a remote opportunity.

Responsibilities

Deliver data engineering solutions that are efficient and scalable and meet the needs of our various stake holders.
Translate requirements into effective and impactful solutions that enable information sharing across the enterprise.
Design and develop using Python, SQL, Azure Platform, Azure Functions and Rest APIs. 
Effectively use code repositories, work with IT to get any new required infrastructure setup. Get a deep understanding of Kiewit’s data platform.
Ability to take on technical tasks and research on making processes more efficient.
Stay current with new technologies and platforms.
Participate in code reviews.

Qualifications

Bachelor’s Degree in Computer Science, Software Engineering or similar discipline. 
4-7 years of successful data engineering experience is required.
4-7 years of demonstrated experience using Python, Azure Platform, Azure Functions and Rest API Services.
4-7 years writing ANSI SQL on Microsoft SQL server (both on prem and azure)
Experience with Azure Data Factory and Informatica are preferred 
Strong track record of successfully executing complex projects and/or projects involving multiple disciplines.
Experience collaborating with senior managers to understand drivers of success and departmental goals.
Strong customer management skills; ability to manage more than one client.
Strong analytical, problem-solving, and communication skills (oral and written)
Proven ability to self-direct work efforts and lead others
Strong interpersonal, written, and verbal communication skills
Team player with the ability to work independently to meet deadlines, goals and objectives
Strong organization, time management, and attention to detail