Senior Data Engineer (REMOTE)

Key Skills

AWS, Azure, Big Data Technology, Data Engineering, Data management, Data pipelines, Data science techniques, Data Warehousing, ETL frameworks, Generative AI, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, SQL

Job Description

The RepTrak Company is the world’s leading reputation data and insights company. We provide the only global platform for data-driven insights on Reputation, Brand, and ESG. Our proprietary RepTrak® model is the global standard for measuring and analyzing the sentiment of the world using proven data science models and machine learning techniques across industries and geographies. Subscribers to the RepTrak® Program use our predictive insights to protect business value, improve return on investment, and increase their positive impact on society. Established in 2004, The RepTrak Company owns the world’s largest reputation benchmarking database of over 1 million company ratings per year used by CEOs, boards, and executives in more than 60 countries worldwide.

The Role

As a Senior Data Engineer specializing in Data Products, Data Management, and Generative AI, you will be at the forefront of our efforts to revolutionize how data insights are harnessed to create transformative products. Your expertise in data management, metadata design, and the development of both structured and unstructured data will be pivotal in creating innovative data solutions that empower our clients to unlock new dimensions of value and insights. By leveraging your experience in data-rich environments and your keen interest in Generative AI, you will contribute to redefining how industries approach innovation.

Specific Responsibilities Include

• Collaborate closely with cross-functional teams, including project management, analytics, and data science, to understand business requirements and translate them into robust data engineering solutions.
• Apply advanced techniques in Generative AI to enhance data analysis, visualization, and predictive modeling.
• Develop solutions that handle both structured and unstructured data, extracting meaningful insights from diverse data sources.Implement best practices for data quality, data governance, and data privacy.
• Stay current with industry trends, especially in Generative AI and data management, and evaluate their applicability to our projects.
• Mentor and guide junior team members, fostering a culture of continuous learning and growth.
• Work collaboratively with analytics teams to provide the necessary data infrastructure for their analysis and modeling needs.
• Optimize and maintain data infrastructure, ensuring scalability, reliability, and security.
• Implement data management strategies, including metadata design and concepts, to ensure data accuracy, lineage, and traceability.
• Design and develop data pipelines that deliver actionable insights and support data-driven product initiatives.

Professional Qualifications

• Proven experience (4+ years) in Data Engineering, with a track record of developing data products or working in data insights-intensive environments.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proficiency in data pipeline development, ETL processes, and data warehousing.
• Experience with Generative AI frameworks and applications is a strong plus.
• Familiarity with handling both structured and unstructured data, extracting insights from diverse data sources.
• Excellent communication skills to collaborate effectively with technical and non-technical stakeholders.
• A passion for innovation, a curious mindset, and a deep interest in the potential of Generative AI.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and related data services.
• Strong understanding of data management principles, metadata design, and concepts.
• Self-starter that is comfortable with ambiguity and moves with urgency.
• Solid programming skills in languages like Python, SQL, and relevant Big Data technologies.

Why Join Our Engineering Team:

• Cutting-Edge Projects: Be part of pioneering initiatives that leverage data, metadata design, both structured and unstructured data, and Generative AI to create industry-leading products.
• Innovation Culture: Immerse yourself in a dynamic and collaborative environment where your ideas and contributions are valued.
• Professional Growth: Access ongoing learning opportunities, training, and mentorship to advance your skills and career.
• Impactful Work: Contribute to solutions that drive real-world impact and transform industries.
• Diverse Team: Join a team of diverse experts who are passionate about technology and innovation.

If you are a Data Engineer with a proven history of delivering data products, collaborating with analytics teams, expertise in data management, metadata design, and experience in handling both structured and unstructured data, and are excited about exploring the potential of Generative AI, we invite you to apply and be part of our journey to reshape the future!

Work Location

This position is fully remote. Ideal candidates are located within New England and able to work East Coast hours.

All candidates must have their primary residence in a country where RepTrak has an entity (Canada, Brazil, United States, United Kingdom, The Netherlands, Italy, Spain, Denmark, Australia). Any US based candidates are ideally located in one of RepTrak's core operating states (MA, CT, PA, NY, IL, GA, NH, or CA).

Some travel may be required.

Compensation

The role encompasses a compensation package including a competitive salary and an annual performance bonus plan. RepTrak offers a full benefits program including company holidays, paid vacation, and more.

The RepTrak Company is committed to diversity in the workplace and is an Equal Opportunity Employer. For more information, please visit our website at https://www.reptrak.com/careers/