What are the responsibilities and job description for the Data Engineer position at Tential?
Job Details
Data Engineer
Our client is seeking a skilled Data Engineer professional to help transform data into actionable insights that guide business decisions. This role focuses on managing and optimizing data pipelines, supporting data analysis, and creating visualizations using tools like Tableau. The ideal candidate will have a strong analytical mindset, experience with data engineering best practices, and the ability to work closely with business stakeholders to leverage data effectively. This role requires adherence to established data governance standards and best practices to ensure data accuracy and consistency.
Key Responsibilities
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#LI-REMOTE
Our client is seeking a skilled Data Engineer professional to help transform data into actionable insights that guide business decisions. This role focuses on managing and optimizing data pipelines, supporting data analysis, and creating visualizations using tools like Tableau. The ideal candidate will have a strong analytical mindset, experience with data engineering best practices, and the ability to work closely with business stakeholders to leverage data effectively. This role requires adherence to established data governance standards and best practices to ensure data accuracy and consistency.
Key Responsibilities
- Data Pipeline Development and Maintenance: Build, maintain, and optimize data pipelines to ensure efficient, reliable data flow across the organization. Ensure data quality through effective validation and transformation processes.
- Data Analysis and Insight Generation: Collaborate with stakeholders to understand data needs and provide actionable insights. Analyze complex data sets and translate findings into concise, valuable insights for strategic decision-making.
- Visualization and Reporting: Develop and maintain dashboards and visualizations using Tableau, enabling real-time insights for various business functions. Design accessible, user-friendly reports to support data-driven initiatives.
- Data Quality and Compliance: Follow data governance best practices and standards to maintain accuracy, consistency, and compliance across all data activities. Perform regular data quality checks to ensure alignment with organizational guidelines.
- Collaboration with Business Units: Work closely with business units to understand data requirements, gather insights, and provide support on data-related issues. Act as a liaison between technical and business teams to ensure alignment on data goals.
- Data Engineering Tools and Techniques: Proficiency in SQL, ETL tools, and data transformation to manage and optimize data flows.
- Data Visualization: Extensive experience with Tableau or similar tools, creating clear, impactful dashboards to deliver insights.
- Data Quality Management: Experience in conducting data quality checks and adhering to data governance best practices.
- Analytical Skills: Strong ability to analyze large datasets, identify trends, and deliver insights that support business strategies.
- Programming and Scripting: Familiarity with Python or R for data manipulation and analysis.
- Candidates are required to be legally authorized to work in the United States without a sponsoring employer indefinitely.
- This is a remote role, but candidates must reside and work within the continental United States.
- Education: Bachelor's degree in computer science, Data Science, Information Systems, or a related field, or equivalent experience.
- Experience: Minimum of 3 years in data engineering or data support roles, with hands-on experience in data analysis, pipeline management, and visualization.
- Additional Skills: Familiarity with Agile methodologies and experience with data warehousing solutions is a plus.
#DICE
#LI-REMOTE
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
