Jr. Data Engineer

Location: , Pennsylvania, USA

Duration: 9 Months

Visa Status: USC, GC, GCEAD, H1B, C2C

Job Description:

Description
The ideal candidate is a gritty, collaborative data engineer who is comfortable with autonomy, ships fast and iterates. We’re connecting and correcting databases to power analytics for executives doing high-impact work throughout the Commonwealth of Pennsylvania. Previous examples of our team’s work include providing the Department of Environmental Protection with a full-fledged analytics dashboard spanning permitting and HR that has been used by executives to drive decision-making and policy planning. We’re a small, fast-moving teams who collaborate closely and learn from each other. As part of the Governor’s Office, we are committed to leveraging cutting-edge technology to drive impactful initiatives across Pennsylvania. Our team thrives on collaboration and continuous learning, fostering an environment where every member contributes to our collective success.
The Office of Transformation and Opportunity (OTO) strengthens the Commonwealth’s long-term competitiveness and supports strategic industries that drive economic growth and prosperity. By coordinating across state agencies and proactively engaging businesses, OTO ensures that the Commonwealth is anticipating and responding to business-owners' needs across Pennsylvania.
Requirements
· Proven experience in designing and maintaining robust data pipelines that are performant on big data sets
· 3+ years of experience programming in SQL, Python and relevant packages like Pandas, and with Apache Spark
· Experience writing clean code that utilizes object-oriented paradigms when appropriate
· A strong foundation in data modeling, architecture and data warehousing
· Experience working in a CI/CD environment and deploying pipelines
· Hands-on experience with a cloud platform, preferably Azure (Azure SQL, Synapse, Databricks, etc.)
· Experience building visualizations in Power BI
· Communication skills to translate data asks into technical specs for a pipeline and visualization
· An understanding of data security best practices and how to implement them
Passion for staying updated on emerging technologies in data engineering
Contributing to a culture of continuous improvement and innovation within the team
Education
· A 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) is a plus
· Experience working with NoSQL databases
· An ability to work with cross-functional, inter-agency teams
· Experience working on small teams in fast-paced environments
Required 3 Years. 3+ years of experience programming in SQL, Python and relevant packages like Pandas, and with Apache Spark
Required. Proven experience in designing and maintaining robust data pipelines that are performant on big data sets
Required. Experience writing clean code that utilizes object-oriented paradigms when appropriate
Required. A strong foundation in data modeling, architecture and data warehousing
Required. Experience working in a CI/CD environment and deploying pipelines
Required. Hands-on experience with a cloud platform, preferably Azure (Azure SQL, Synapse, Databricks, etc.)
Required. Experience building visualizations in Power BI
Required. Communication skills to translate data asks into technical specs for a pipeline and visualization
Required. An understanding of data security best practices and how to implement them
Required. Passion for staying updated on emerging technologies in data engineering
Required. Contributing to a culture of continuous improvement and innovation within the team
Required. A bachelor’s degree in Computer Science, Engineering, Statistics, or equivalent professional experience
Desired. Experience in agile development methodologies and version control systems (e.g., Git) is a plus
Desired. Experience working with NoSQL databases
Desired. An ability to work with cross-functional, inter-agency teams
Desired. Experience working on small teams in fast-paced environments


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