Remote, but you must be in the following location
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.
Required Skills & Experience
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.
Role: Data Engineer
Employment Type: Contract (W2)
Location: United States (Remote)
Start Date: April 7, 2026
Contract Duration: 12 months (through April 7, 2027)
Schedule: Full-time, 40 hours per week
Work Hours: 8 hours per day, Monday-Friday
Compensation: $92-$107 per hour , depending on experience
