Senior Data Engineer – Data Analytics & BI

Job Details

• Company: New Era Technology
• Position: Senior Data Engineer – Data Analytics & BI
• Location: Remote

Join New Era Technology, where People First is at the heart of everything we do. With a global team of over 3,000 professionals, we're committed to creating a workplace where everyone feels valued, empowered, and inspired to grow. Our mission is to securely connect people, places, and information with end-to-end technology solutions at scale.

At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.

If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you.

SUMMARY:

The Senior Data Engineer designs, builds, and maintains large-scale data infrastructure and analytics solutions that power business insights across the organization. The ideal candidate brings deep expertise in SQL, Python, and data visualization, with a strong track record of delivering self-service reporting platforms, scalable ETL pipelines, and high-quality dashboards that enable data-driven decision making. In this role, you will partner closely with cross-functional stakeholders to translate complex data needs into clear, actionable solutions while upholding engineering best practices in architecture, performance, and data quality.

PRIMARY DUTIES:

• Triage requests for people data and ad hoc reports, prioritize requests, and effectively communicate appropriate delivery expectations.
• Collaborate with partners and stakeholders to create dashboards that display meaningful and actionable key performance indicators (KPIs).
• Create visualizations from which leaders can easily draw insights and recommendations.
• Build and automate easy-to-use, self-service reports and dashboards.
• Provide direction and coaching to end users on how to use and interpret metrics.
• Document reporting requirements with partners by collaborating with relevant Data Analytics team members on iterations and changes to core dashboards and solutions.
• Pull, organize, and analyze relevant data from multiple sources using tools such as Tableau, VS Code, and Jupyter Notebook, and programming languages such as SQL and Python.
• Partner and align with cross-functional teams including Data Engineering and Data Science, executing best practices in data gathering, pipeline design, and analytics.
• Audit data integrity, investigate concerns, and establish processes to streamline and improve data quality.
• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse internal and external sources.
• Improve the performance of ETL tasks through good architecture and code optimization.
• Be part of the on-call team and monitor and address operational issues to ensure reliability and uptime of data systems.
• Stay current with emerging trends in data engineering, analytics tooling, and cloud-based data platforms.

COMPETENCY:

• Experience with Apache Hive and Presto for large-scale distributed query processing.
• Familiarity with machine learning algorithms and data science workflows.
• Experience with large-scale data migration projects, including requirements gathering, pipeline design, and operational support.
• Mentoring experience with junior engineers and analysts.
• Familiarity with Dev Ops principles and their application to data management and deployment workflows.

REQUIRED

EDUCATION:

• BA/BS/MS in a field that emphasizes data analysis and visualization (e.g.,…