Job Description

Job Description:
As a Jr. Data Engineer, you will join a small, fast-moving team that collaborates closely to build robust data pipelines and analytics solutions for high-impact work throughout the Client. You will be responsible for designing and maintaining performant data pipelines on big data sets, developing data models, and deploying pipelines in a CI/CD environment. This role offers the opportunity to work autonomously, ship fast, iterate, and learn from others, contributing to data-driven decision-making and policy planning.


Key Responsibilities:

• Design and maintain robust data pipelines that are performant on big data sets.
• Develop clean code that utilizes object-oriented paradigms when appropriate.
• Work in a CI/CD environment and deploy pipelines effectively.
• Build data models, architect data solutions, and manage data warehousing.
• Collaborate with cross-functional teams to translate data requirements into technical specifications for pipelines and visualizations.
• Develop data visualizations in Power BI and ensure data integrity and reliability.
• Implement data security best practices and continuously monitor data pipeline performance.
• Stay updated on emerging technologies in data engineering and contribute to team innovation.
• Contribute to a culture of continuous improvement and knowledge sharing within the team.

Required Skills, Experiences, Education, and Competencies:

• Proven experience in designing and maintaining robust data pipelines that perform well on big data sets.
• 3+ years of experience programming in SQL, Python, and relevant packages like Pandas, and with Apache Spark.
• Hands-on experience with cloud platforms, preferably Azure (Azure SQL, Synapse, Databricks, etc.).
• Strong foundation in data modeling, architecture, and data warehousing.
• Experience in building visualizations in Power BI.
• Knowledge of CI/CD practices and deploying data pipelines.
• Understanding of data security best practices and how to implement them.
• Effective communication skills to translate data requirements into technical specifications.
• Bachelor's degree in Computer Science, Engineering, Statistics, or equivalent professional experience.

Desired Skills:

• Experience in agile development methodologies and version control systems (e.g., Git).
• Experience working with NoSQL databases.
• Ability to work effectively in cross-functional, inter-agency teams.
• Experience working in small, fast-paced teams.

The hourly range for roles of this nature are $40.00 to $60.00/hr. Rates are heavily dependent on skills, experience, location, and industry.


cyberThink is an Equal Opportunity Employer.

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