Lead Data Engineer Job Cedar Rapids area,Iowa USA,IT/Tech

Overview

The Lead Data Engineer is responsible for the design, architecture and support of systems, services and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.

Responsibilities

Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment:
Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data.
Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
Assist the selection and integration of data related tools, frameworks and applications required to expand platform capabilities.
Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.

Qualifications

Bachelor’s degree in computer science, math, engineering, or relevant technical field
Five years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
Four years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on-premises and cloud environments
Three years of experience architecting, building and administering large-scale distributed applications
Three years of experience with Linux operations and development, including basic commands and shell scripting
Three years of experience executing Dev Ops methodologies and continuous integration/continuous delivery
Demonstrated skills in delivery of high-quality technical project solutions
Expertise in SQL for data profiling, analysis, and extraction
Familiarity with data science techniques and frameworks
Creative thinker with strong analytical skills
Results oriented with a strong customer focus
Ability to work in a team environment
Strong technical communication skills
Ability to prioritize work to meet tight deadlines
Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables

Preferred Qualifications

Master’s degree in a technical field (e.g. computer science, math, engineering)
Understanding of big data and real time streaming analytics processing architecture and ecosystems
Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code
Experience with advanced analytics and machine learning concepts and technology implementations
Experience with data analysis and using data visualization tools to describe data
Relevant technology or platform certification (AWS, Microsoft, etc.)
Experience with Snowflake

Working Conditions

Hybrid-Office Environment (Tuesdays, Wednesdays, Thursdays)
Occasional Travel