Data Engineer
Data Engineer
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Job Description
Job Title: Data Engineer
Job Location: 1155 Sixteenth Street NW Washington D.C. District of Columbia United States of America 20036
Job Duration: 12/16/24 12/31/25
Note: Onsite 2 days in a week and consultant MUST be in DC
We are 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 decisionmaking.
Visualization and Reporting: Develop and maintain dashboards and visualizations using Tableau enabling realtime insights for various business functions. Design accessible userfriendly reports to support datadriven 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 datarelated issues. Act as a liaison between technical and business teams to ensure alignment on data goals.
Technical Skills:
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.
Education: Bachelors 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 handson experience in data analysis pipeline management and visualization.
Additional Skills: Familiarity with Agile methodologies and experience with data warehousing solutions is a plus.
Employment Type
Full Time
