Data Engineer II

TITLE: Data Engineer II

TYPE: Contract

LOCATION: 100% Remote

ONSITE/REMOTE/HYBRID: Remote

START DATE: February 2026

We are seeking a skilled Data Engineer to design, build, and maintain scalable data solutions that support analytics, business intelligence, and machine learning initiatives. This role focuses on developing reliable data pipelines and cloud-based architectures that transform raw data into trusted, high-quality assets used across the organization.

• Architect cloud-based data platforms that enable analytics, reporting, and advanced data use cases
• Analyze business and technical needs to determine required data sources and structures
• Develop and maintain end-to-end data pipelines that integrate data from multiple systems
• Load and manage curated datasets within data warehouses and real-time analytics environments
• Design and implement data transformations to ensure accuracy, consistency, and performance
• Prepare data for downstream consumption by analytics tools, dashboards, and reporting systems
• Write production-ready code with appropriate testing, version control, and deployment practices
• Automate recurring data processes and support continuous integration and delivery workflows

• Bachelor's degree in Computer Science, Engineering, or a related discipline
• Azure Data Engineer certification is preferred
• Hands-on background working with data warehousing concepts and ETL processes
• Proven experience in data engineering and cloud-based data platforms, particularly within Azure
• Strong verbal and written communication abilities
• Experience with large-scale data processing and analytics tools such as Databricks or Alteryx
• Strong understanding of designing, building, and optimizing high-volume data pipelines
• Comfortable presenting technical concepts to diverse audiences
• Proficiency in SQL and Python, including PySpark for distributed data processing
• Ability to quickly learn and adapt to new tools, frameworks, and engineering practices
• Demonstrated ability to collaborate effectively across technical and non-technical teams
• Exposure to data governance or visualization platforms such as Purview, Power BI, Qlik, or Tableau is preferred
• Familiarity with Oracle PL/SQL, Java, or SAS is preferred
• Experience with performance- and security-focused data modeling techniques is a plus
• Knowledge of Azure Synapse Analytics and Azure Dev Ops is a plus

We are an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.