Data Engineer

Maleda Tech is seeking an experienced Data Engineer to support the development and expansion of a large-scale data ecosystem used to inform strategic decision-making. In this role, you will design and maintain data pipelines that integrate internal and third-party datasets, enabling advanced analytics, data visualization, and predictive modeling. You will collaborate with cross-functional technical teams, analysts, and business stakeholders to build scalable data infrastructure that supports machine learning models and data-driven insights. The ideal candidate is highly skilled in data engineering, comfortable working with complex datasets, and able to translate technical concepts into clear solutions for non-technical partners. This position is well suited for a data professional who thrives in fast-paced environments and enjoys building foundational data systems that power analytics and machine learning initiatives., + Design, build, and maintain ETL pipelines to ingest and transform third-party and internal datasets into enterprise data warehouses.

• Develop scalable data pipelines and architecture that integrate multiple data sources and support advanced analytics and machine learning applications.
• Configure and manage data integrations across systems including CRM platforms, internal applications, and microservices environments.
• Establish and maintain data refresh cadences aligned with business needs and data availability.
• Enable self-service data visualization and analytics by preparing clean, structured datasets for reporting tools and dashboards.
• Collaborate with engineering, analytics, and data science teams to expand foundational datasets and improve data accessibility.
• Integrate diverse data sources such as legislative, regulatory, economic, geospatial, and operational datasets to support advanced analysis.
• Communicate complex technical concepts clearly to cross-functional stakeholders and contribute to data strategy discussions.

• Strong experience in data engineering, data architecture, and analytics infrastructure.

• Advanced proficiency in Python and SQL.

• Experience designing and managing ETL pipelines and large-scale data pipelines.

• Experience working with complex, multi-source datasets , including structured and semi-structured data.

• Strong ability to transform raw datasets into formats suitable for analytics and visualization tools.

• Experience working with enterprise data warehouse environments and big data systems.

• Ability to work independently and proactively identify solutions to technical challenges.

• Strong communication skills and the ability to translate technical insights for non-technical stakeholders. Preferred Qualifications

• Experience supporting or building machine learning models.

• Experience working with geospatial, regulatory, economic, or legislative datasets.

• Background collaborating with cross-functional technical teams including data science and analytics teams.