TG Software Engineer 4

Kiewit Corporation • Papillion, NE

266d

About The Position

Kiewit Technology Group (KTG) is looking for a Lead Data Engineer to join our team and collaboratively define and drive data solutions for the enterprise. As a Lead Data Engineer you will lead the technology direction in Kiewit's efforts to deliver data and reporting solutions aligned to project, departmental, and divisional needs. A successful candidate must excel in technical leadership, have a high attention to detail, time management skills, and a proven track record of leading teams in the successful adoption of technology in the Data & Analytics domain. Additionally, the Lead Data Engineer needs to be a capable communicator, adept at managing multiple responsibilities and able to work collaboratively with business partners at all levels of the organization.

Requirements

• Bachelor's and/or master's degree in computer science, information systems, or equivalent combination of education and relevant industry experience.
• 5+ years in Snowflake and related ELT/ETL tooling (Informatica, DBT, etc.).
• Experience with Azure Cloud Architecture, Snowflake Architecture, Azure Data Lake, Spark, Databricks, Azure Data Factory.
• Background in programming/scripting languages such as SQL, Python.
• Expertise in Snowflake cost measurement, performance tuning, and workload optimization.
• Expertise in data management and data security fundamentals.
• Working knowledge of various data pipeline design patterns, refactoring, testing, CI/CD, etc.
• Working knowledge of Data Visualization tools (eg Tableau, PowerBI, Sigma) preferred.
• Exceptional attention to detail and time management skills.
• Consistently demonstrates the ability to successfully negotiate conflict.
• Consistently demonstrates critical thinking and problem-solving capabilities.

Responsibilities

• Design, implement, and deploy scalable data platforms in cloud and on-prem targets.
• Establish, implement and document software engineering patterns, tooling patterns and data patterns.
• Provide thought leadership and guidance for data engineering practices.
• Design and Development of data pipelines using Informatica, Snowflake, Azure Data Factory, Azure Data Lake.
• Drive and execute the technical workstream of data initiatives.
• Creation of process and procedures for the technical delivery of data solutions (security, ingestion, curation, orchestration, etc.).
• Act as domain expert for Snowflake in a collaborative environment to implement data management best practices and application of various data warehousing concepts.
• Communicate different solution and technology options and articulate the short/long-term impact to department leaders for each proposed solution.

Benefits

• Top-tier medical, dental and vision plans covering eligible employees and dependents.
• Voluntary wellness and employee assistance programs.
• Life insurance.
• Disability.
• Retirement plans with matching.
• Generous paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Construction of Buildings
• Education Level: Bachelor's degree