Data Engineer (I)

Overview

Aquent is proud to partner with a leading technology company at the forefront of innovation, dedicated to solving complex challenges and shaping the future of digital experiences. This is an incredible opportunity to join a team that values creativity, collaboration, and impactful contributions, where your work directly influences critical data infrastructure and decision-making processes.

Are you a passionate data enthusiast eager to make a tangible impact? We are seeking a talented individual to step into a pivotal role where you’ll be instrumental in transforming raw data into actionable insights and robust solutions. This is your chance to build, optimize, and secure the very pipelines that fuel data-driven innovation, working with cutting-edge technologies and collaborating with diverse teams. You’ll contribute directly to enhancing system efficiency, reliability, and scalability, ensuring that data is not just collected, but truly empowers strategic initiatives across the organization. If you thrive in a dynamic environment and are ready to contribute to the core of a world-class data ecosystem, we want to hear from you!

**What You’ll Do:**

* Design and develop compelling data visualizations and features using both internal and external business intelligence tools, guiding stakeholders through complex data stories.
* Provide essential ongoing support for data users by maintaining and optimizing reports, queries, and dashboards, ensuring data accessibility and accuracy.
* Conduct in-depth exploratory data analysis and profiling, leveraging custom data infrastructure and existing models to uncover critical insights.
* Collaborate closely with internal partners to deeply understand their needs, clarify requirements, and translate business challenges into technical data solutions.
* Drive data-driven decision-making by expertly collecting, transforming, and publishing high-quality data.
* Deploy, leverage, and continuously refine pre-existing machine learning models, and actively learn and implement new storage and machine learning serving systems.
* Build and scale common frameworks and infrastructure to implement robust business solutions, following best practices for data discoverability, lifecycle management, and master data governance.
* Engineer, operationalize, secure, and monitor advanced data processing systems, with a strong focus on security, compliance, scalability, efficiency, reliability, fidelity, flexibility, and portability.
* Develop and maintain sophisticated data models, pipelines, and exchange formats crucial for data visualization, analysis, interpretation, and machine learning training.
* Consult with various stakeholders to identify data sources, define required data elements, and establish rigorous data validation standards.
* Partner with engineering teams to understand and influence logging and transactional storage strategies.
* Collaborate with data scientists on machine learning training and feature engineering for advanced models.

**Must-Have Qualifications:**

* Demonstrated proficiency in code comprehension and strong programming skills.
* Excellent information gathering and analytical abilities.
* Solid understanding and practical experience in project management principles.
* Expertise in data exploration techniques and tools.
* Experience with big data infrastructure.
* Foundational knowledge of Machine Learning concepts.
* Proven ability in stakeholder management and cross-functional collaboration.
* Proficiency in data pipeline (ETL) design and data modeling.
* Understanding of statistical concepts and experience with Business Intelligence (BI) tools.

**About Aquent Talent:**

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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