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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Aegon Asset Management - **Location:** Cedar Rapids, IA, United States - **Experience:** Expert - **Salary:** $107,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Big Data, Cloud Computing, Continuous Delivery, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Profiling, Data Visualization, Data Warehousing, Linux, DevOps, Python (Programming Language), Machine Learning, Metadata, Node.Js, Reference Data, Scala (Programming Language), Shell Script, Software Engineering, SQL Databases, Data Streaming, Enterprise Data Management, Snowflake, Information Technology, Data Analytics, Data Management, Data Delivery, Data Pipelines, Programming Languages - **Published:** July 18, 2026 - **Apply:** https://www.juju.com/job/00000000gh9dpg ## About the Role + 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 DevOps 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.) + Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js) + Experience with Snowflake, + Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child. ## Description 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., + 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. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Stop using Node.js like in 2020! 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