Data Engineer III

IGH ICW GROUP HOLDINGS, INC.

Norfork, Arkansas, United States

Norfork, Arkansas, United States

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About

Purpose of the Job The Data Engineer III will design, develop, and implement data pipelines, data integration and data storage solutions such as data warehouses, data lakes, relational and non‑relational databases. The role will partner closely with IT Managers, Enterprise Business Intelligence, Data Governance, and Data Science teams to solve business‑significant data problems, enabling data‑driven decision-making, automation and optimization. Responsibilities Build data solutions that ensure data integrity and information usability for enterprise‑wide digital solutions and decision making. Lead the design and build of scalable data pipelines and solutions (batch and/or streaming) using traditional and cloud platforms (AWS or similar). Analyze complex data elements and systems, and develop conceptual, logical and physical data models, as well as verify and implement ETL/ELT mappings and transformation logic. Design, support and peer‑review data models and schemas for new and existing data sources for the data warehouse. Conduct unit, integration and system tests on data sources to validate data against source systems, continuously optimizing performance to improve query speed and reduce cost. Build infrastructure required for optimal extraction, transformation and loading of data from a wide variety of sources using big data technologies and tools. Lead data initiatives to ensure pipelines are reliable, efficient, testable and maintainable. Stay current with the data landscape, proactively leading analysis to detect data deficiencies, gaps and opportunities. Improve engineering team processes via data architecture, engineering, test and operational excellence best practices. Collaborate on data strategy components such as Master Data Management (MDM) and data virtualization. Partner with BI and Data Science teams to implement data streams and work closely with Enterprise Architecture, Technology and Project teams to maintain governance requirements. Contribute to data governance and data quality best practices, including design reviews, unit testing, code reviews, and continuous integration and deployment. Collaborate with data architects to ensure outputs of physical models meet required needs. Evaluate and conduct proof of concept on new technologies for fit in next‑generation data platforms. Collaborate with Enterprise Architecture to drive tooling and standards that improve productivity and quality of output for data engineers across the company. Supervisory Responsibilities No supervisory responsibilities; the role may mentor and/or train other team members and act as a resource for the team. Education and Experience Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or a related technical field (or equivalent combination of education and experience). Minimum 6 years of experience in a data integration (Cloud/Traditional) engineering role. Experience with data practices (security, data management and governance) preferred. Experience in operations research, machine learning or optimization a plus. Insurance experience a plus. Certifications, Licenses, Registrations Data architecture or data engineering related certification strongly desired. AWS Cloud Practitioner or more advanced AWS certification preferred. DAMA certifications preferred. Knowledge and Skills Expertise with database and data warehouse design using MS‑SQL, PostgreSQL and related technologies. Knowledge of designing DB schemas for read and write performance. Working knowledge of API or stream‑based data extraction processes. Experience performing root‑cause analysis on internal and external data and processes. Background in data modeling and performance tuning in relational and NoSQL databases. Experience with AWS technologies such as Redshift, S3, EC2, Glue, EMR, Kinesis, Lambda, DynamoDB. Experience with modern data architectures and platforms like Snowflake, Databricks. Experience with Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend and related tools. Knowledge of data movement tools – SSIS, Profisee, Alteryx, Informatica. Experience with multiple data management domains such as data modeling, integration, warehousing, data quality, security and governance. Strong analytical, time management, verbal and written communication skills. Self‑starter mentality, able to work with minimal supervision, organized, detail oriented and capable of managing multiple tasks under tight deadlines. Physical Requirements This job operates in a professional office environment. The employee is required to talk or hear regularly, sit, stand, walk, and bend during working hours. Manual and finger dexterity and eye‑hand coordination are required. The employee may lift and carry relatively light materials and will be required to work additional hours as needed. Work Environment The position operates in an office environment and involves frequent use of a computer, telephone, copier and other standard office equipment. EEO Statement ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law.
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Norfork, Arkansas, United States

Languages

English

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