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.
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.
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.
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.
