About the job
One of our Client is looking for the position of Jr. Data Engineer based on following skills:
This requisition requires only a virtual interview via Teams with video-enabled.
This position is fully remote at 37.5 hours per week. The candidate does not have to be a resident of Pennsylvania. A resource in the Eastern (EST) time zone or Central (CST) time zone is preferred in this particular instance. Please specify the physical residence in the candidate's Summary of Qualifications under the details tab.
OTO will ship equipment as needed. If the individual is local, they may get the equipment in-person at The Keystone Building (400 North Street, Harrisburg, PA 17120).
Start date for this position is as soon as possible pending a compliant PATCH.
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.
The successful candidate may have to undergo a drug test and background check.
Sincerely,
Rakhi
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