Join our dynamic team as a Data Engineer and become a vital driver of our data-driven initiatives! In this role, you will design, develop, and maintain robust data pipelines and architectures that empower insightful analytics and strategic decision-making. Your expertise will enable seamless integration of diverse data sources, ensuring high-quality, accessible data for stakeholders across the organization. If you thrive in a fast-paced environment and are passionate about transforming raw data into actionable intelligence, this is the opportunity for you to make a significant impact!

Develop, implement, and optimize scalable ETL (Extract, Transform, Load) processes to facilitate efficient data flow across various platforms, including cloud environments like AWS and Azure Data Lake.
Design and maintain data warehouses and data lakes, ensuring data integrity, security, and accessibility for analytics and reporting purposes.
Build and manage large-scale big data solutions utilizing Hadoop, Spark, Apache Hive, and related technologies to handle high-volume, complex datasets.
Collaborate with data scientists and analysts to support model training, data analysis, and visualization efforts, leveraging tools like Looker and SQL.
Develop and maintain APIs, including RESTful services, to enable seamless data integration and access across systems.
Utilize programming languages such as Python, Java, and Bash scripting to automate workflows, perform data processing, and troubleshoot issues.
Design and implement database schemas and optimize database performance using Microsoft SQL Server, Oracle, and other relational database systems.
Work within Agile development frameworks, participating in sprint planning, stand-ups, and collaborative problem-solving.
Use Informatica and Talend for data integration tasks, ensuring efficient data movement and transformation.
Conduct analysis, interpret data trends, and generate reports to support strategic initiatives and operational improvements.
Maintain comprehensive documentation of data pipelines, architecture, and processes for transparency and future scalability.
Stay current with emerging data technologies and best practices to continually enhance our data infrastructure.

Proven experience as a Data Engineer or similar role, with a strong understanding of data architecture, pipeline development, and database design.
Extensive hands-on experience with cloud platforms such as AWS and Azure, including services like AWS Glue, S3, and Azure Data Lake.
Proficiency in programming languages including Python, Java, and Shell scripting (Bash), with a focus on automation and data processing.
Deep knowledge of big data frameworks such as Hadoop, Spark, and Apache Hive for processing large datasets efficiently.
Strong expertise in SQL, Microsoft SQL Server, Oracle, and data warehouse concepts to support complex queries and data modeling.
Familiarity with ETL tools like Informatica, Talend, and data integration practices.
Experience working with Looker or similar BI tools for data visualization and analytics.
Knowledge of RESTful API development for data access and integration.
Understanding of data modeling, database design, and data governance principles.
Experience with model training and analytics to support data science initiatives.
Excellent analysis skills, with the ability to interpret complex data and communicate insights effectively.
Familiarity with shell scripting, Bash, and Linux/Unix environments for system automation.
Strong collaboration skills within Agile teams, with a proactive approach to problem-solving and continuous improvement.
Bachelor’s degree in Computer Science, Information Technology, or a related field; advanced certifications are a plus. Join us and leverage your technical expertise to build innovative data solutions that power our future! We are committed to fostering a vibrant, inclusive environment where your skills can thrive and your contributions are valued.

Job Type: Full-time

Pay: $58,900.34 - $70,933.74 per year

Benefits:

Paid time off
Relocation assistance

Work Location: Hybrid remote in Jacksonville, NC 28546

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Data Engineer

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