Title: Data Engineer with strong Python experience
Location: Washington, DC (Remote)
Duration: 6 - 18 Months Contract
Interview process will be: MS Teams Video Interview followed by Python coding test.
Responsibilities:
· Build and scale data pipelines in production environments using a modern data stack.
· Carry out complex analysis utilizing PostgreSQL.
· Implement data modeling best practices to support analytics and reporting needs.
· Design technical architecture and infrastructure components.
· Create automated data and code quality checks.
· Implement and enforce data governance policies and best practices to ensure data security and compliance.
· Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
· Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
Desired Skills & Expertise:
· Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
· 3+ years of hands-on experience with Python for data processing in a production environment.
· 2+ years of experience with PostgreSQL.
· Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
· Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
· Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
· Experience with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) in a production environment.
· Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus.
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