Company : Black & Veatch Corporation

Req Id : 116883

Opportunity Type : Staff

Relocation eligible : No

Full time/Part time : Full-Time

Project Only Hire : No

Visa Sponsorship Available: No

The Opportunity

The Digital & Data team represents an internal effort to digitally transform and fundamentally revolutionize every corner of Black and Veatch. Our goal is to accelerate Black and Veatch's technology and propel our company into the next century of digital & data capabilities and success. Our team will be the embedded catalyst functioning as thought leaders within each one of our business units helping to provide technological guidance to provide strategic and impactful initiatives.

Our team is a unique mix of top tier Data Scientists, Engineers, Developers, Strategists, and positively disruptive technology enthusiasts.

We are looking for an experienced, talented, and motivated Senior Data Engineer with significant experience in Agile Methodology, ETL, Data Automation, Job Monitoring, Data Infrastructure, & Data Architecture. We would like you to be a key member of a strategic, skilled, results-oriented team of technology professionals. The role involves broad responsibility for maintaining, building, and enhancing Data Engineering and the Data Development Lifecycle for different areas of Black and Veatch. Duties include monitoring, optimization, automation, data maintenance, and support. The Senior Data Engineer should be an experienced technologist experienced in working with large and small volumes of data with hands-on data development and a deep understanding of the Data lifecycle.

Key Responsibilities

• Work closely with development teams to integrate their projects into production.
• Be an Agile champion - work closely with other internal teams to proliferate Agile ideals.
• Dive deep into the Data Infrastructure and ETL to troubleshoot as needed.
• Build engineering automation and productivity tools to streamline and scale applications in the production environment.
• Troubleshoot and resolve issues related to data development, deployment and operations.
• BS degree in Computer Science, Mathematics, Statistics, Economics, or other Quantitative or Technology field.
• Be proficient with SQL(Oracle, Microsoft, Postgres, etc...)
• Experience developing ETL solutions using Python(or other scripting language)
• Familiarity with code management using Git or similar technology
• Understand the Data Lifecyle
• Demonstrated knowledge of one of these cloud platforms (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

• Be accurate and deliver quality. Have a "roll up your sleeves and dive in" attitude.
• Excellent, collaborative team player with communication skills to match.
• Adaptable and flexible in meeting demands. You are relentless and passionate to get the job done.
• Proactive - you take responsibility and own the solution within a collaborative team environment.
• Work well under pressure and thrive in a demanding environment. Excellence is an expectation.
• Demonstrated proactivity in capitalizing on opportunities and resolving issues.
• Intellectually curious - prepared to challenge and be challenged.
• Constantly strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry.
• Server and Network troubleshooting.

Minimum Qualifications

• Bachelors degree in computer science or related field OR equivalent work experience
• In addition to the education requirements, ten years related experience.
• All applicants must be able to complete pre-employment onboarding requirements (if selected) which may include any/all of the following: criminal/civil background check, drug screen, and motor vehicle records search, in compliance with any applicable laws and regulations.

Work Environment/Physical Demands

Hybrid or flexible work options may be offered after the first 90 days of employment based upon manager discretion, job performance and work assignments.

Salary Plan

ITS: Information Technology Service

Job Grade

017