Data Engineer II

This position operates in an office environment and requires the frequent use of a computer, telephone, copier and other standard office equipment.

Builds data solutions that ensure data integrity and information usability for enterprise-wide digital solutions and decision making.

• Creates and maintains scalable data pipelines and solutions (batch and/or streaming) that make the best use of traditional and cloud platforms (AWS or similar) by understanding the business, technology, and data landscape including real time data processing.
• Provides analysis of complex data elements and systems, data flow and in development of conceptual, logical, and physical data models as well as verification and implementation of ETL/ELT mappings and transformation logic.
• Designs, supports and peer reviews the data models and schemas for new and existing data sources for the data warehouse.
• Conducts unit, integration, and system tests on our data sources to validate data against source systems, and continuously optimize performance to improve query speed and reduce cost.
• Builds pipelines that are reliable, efficient, testable, and maintainable.
• Maintains a good understanding of the current landscape and assists in the analysis of data deficiencies, gaps, and opportunities.
• Contributes to building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies and tools.

Partners with various teams in implementing overall data solutions.

• Works closely with BI and Data Science teams in implementing various data streams.
• Collaborates with data architects to ensure the output of the physical models meet required needs— e.g., collaborates on data definition, data structure, data content and data usage.
• Partners with Enterprise Architecture, Technology, and Project teams to ensure consistency of solutions approach while maintaining data governance requirements.
• Contributes to data governance and data quality best practices including design reviews, unit testing, code reviews, and continuous integration and deployment.
• Collaborates with the Enterprise Architecture team to drive tooling and standards to improve the productivity and quality of output for data engineers across the company.

SUPERVISORY RESPONISBILITIES

This role does not have supervisory responsibilities.

Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field required, or equivalent combination for education and experience. Minimum 3 years of experience in a data integration (Cloud/Traditional) engineering related role required. Insurance experience a plus.

• Data architecture or data engineering related certifications strongly desired.
• AWS Cloud Practitioner or more advanced AWS certification preferred.

This job operates in a professional office environment. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently will sit, stand, walk, and bend during working hours. Requires manual and finger dexterity and eye-hand coordination. Required to lift and carry relatively light materials. Requires normal or corrected vision and hearing corrected to a normal range. Ability to work additional hours, as required.

• Expertise with database & data warehouse design, using MS-SQL, PostgreSQL etc.
• Knowledge of Model and Design of 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 to answer specific business questions and identify opportunities for improvement.
• Experience with AWS technologies like Redshift, S3, EC2, Glue, EMR, Kinesis, Lambda, DynamoDB, etc.
• Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
• Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc.
• Knowledge and experience with data movement tools – SSIS, Profisee, Alteryx, Informatica.
• A self-starter mentality that thrives in a rapidly changing, fast-paced environment and tolerates ambiguity while demonstrating problem-solving.
• Strong analytical and time management skills. Self-motivated and able to handle tasks with minimal supervision.
• Must be organized, detail oriented, and able to multi-task. Ability to work well under pressure and deliver results with tight deadlines and under changing priorities.
• Ability to cross collaborate with multiple teams and offer value-added solutions to meet objectives.
• Strong verbal and written communication skills.

$95,378.98 - $160,850.17

• Challenging work and the ability to make a difference
• You will have a voice and feel a sense of belonging
• We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match
• Bonus potential for all positions
• Paid Time Off
• Paid holidays throughout the calendar year
• Want to continue learning? We’ll support you 100%

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The current range for this position is

This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work.