Digital Data Engineer (Remote)

Job Responsibilities:
Data Pipelines

• Lead the design and optimization of complex ETL/ELT pipelines using tools such as Alteryx, Azure Data Factory, or similar.
• Ensure data ingestion processes into data warehousing solutions like Snowflake are accurate, reliable, and consistent.
• Mentor junior engineers in best practices for data pipeline development.

Data Models

• Lead the creation and maintenance of advanced dimensional data models in data warehousing solutions.
• Integrate multiple complex data sources to provide actionable insights and support analytical queries, processes, Data Science needs, and improve reporting performance.
• Implement advanced data transformations and aggregation techniques.

Data Quality

• Develop comprehensive data quality frameworks and automated validation processes.
• Implement advanced techniques for anomaly detection and correction.
• Ensure consistent high data integrity standards across platforms.

Collaboration

• Lead cross-functional collaboration to gather requirements and translate business objectives into technical solutions.
• Facilitate knowledge sharing on best practices for tools and data.
• Foster effective communication between teams.

Documentation

• Ensure comprehensive documentation of data pipelines, data models, and technical specifications.
• Maintain detailed documentation for complex data processes.
• Support data governance requirements through accurate data lineage and metadata documentation.

Maintenance and Support

• Lead ongoing support for data pipelines, data models, and analytical systems.
• Develop proactive monitoring solutions to identify and resolve data processing issues.
• Ensure system reliability and performance.

Performance Optimization

• Lead optimization efforts for complex data architectures.
• Implement advanced techniques for data management and optimization, including indexing, partitioning, and query optimization.
• Continuously evaluate and improve data processes and architectures.

Data Compliance

• Lead compliance efforts, ensuring adherence to established Data Governance best practices.
• Mentor junior staff on best practices for data compliance.
• Ensure data usage meets regulatory and audit requirements.

Leadership

• Develop leadership skills and manage small to mid-size team projects.
• Mentor junior team members and foster a collaborative environment.

The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.

Job Requirements:

• Bachelor’s degree in computer science, economics, statistics, information management, engineering, or related field, or equivalent combination of education and/or related professional work experience.
• 6+ years of experience in analytics engineering, data engineering, or related field.
• Strong proficiency in SQL, Python, and R; extensive experience with Snowflake, Alteryx, Azure, Git and business intelligence tools.
• Advanced understanding of database design, data modeling, and data quality assurance.
• Strong analytical and problem-solving skills.
• Excellent communication, documentation, organizational, and project management skills.
• Ability to manage small project teams and provide mentorship to junior members.