Junior Data Engineer

As a Junior Data Engineer at BlastPoint, your main responsibilities will include writing efficient server-side Python code, specifically using the pandas DataFrame API, and maintaining scalable data pipelines. You will automate data processes, integrate client data with public and private sources, and ensure the overall data integrity throughout project lifecycles. Collaboration with customer success teams will also be key in delivering actionable insights.

To apply for the Junior Data Engineer position at BlastPoint, you need either a Bachelor’s degree in a relevant field or two years of experience in a related role. Strong knowledge of Python and SQL is essential. Familiarity with Git, and a proactive problem-solving mindset will set you apart as an ideal candidate. Attention to detail and effective communication skills are also important for success.

Yes, the Junior Data Engineer position at BlastPoint is fully remote! This gives you the flexibility to work from anywhere in the U.S. while being part of a forward-thinking team focused on innovation and positive change.

In the Junior Data Engineer role at BlastPoint, you'll work on projects that involve designing and implementing data pipelines and automating onboarding processes. You will explore high-dimensional data and directly contribute to improving business solutions across various sectors, including energy and finance, by ensuring data is both accurate and actionable.

Absolutely! BlastPoint is committed to the growth and development of its employees. As a Junior Data Engineer, you will have access to skills training and opportunities to attend industry conferences, ensuring you stay updated with the latest trends and technologies in data engineering.

When writing efficient Python code, I focus on using data structures and libraries optimized for performance, such as pandas for data manipulation. I ensure that the code is modular for easy maintenance and readability, and I conduct thorough testing to identify any potential bottlenecks early on.

Ensuring data integrity involves validating data inputs, utilizing checksums, and conducting regular audits. I also implement strong validation rules and data cleaning processes at each stage of data handling, ensuring that issues are caught early and don’t affect downstream analytics.

I have extensive experience using SQL for data manipulation and analysis. I am proficient in writing complex queries, optimizing performance, and working with databases like PostgreSQL. I also understand normalization and indexing to enhance data retrieval efficiency.

In a previous role, I automated our data ingestion process, which involved setting up cron jobs to extract and load data regularly. This not only saved us significant time but also improved the accuracy of our data reporting by minimizing manual interventions.

When faced with tight deadlines, I prioritize tasks by assessing their impact on the project's overall success. I break the work down into manageable parts, communicate effectively with my team to delegate where possible, and remain adaptable in case plans change.

I believe clear communication is key to collaboration, so I actively listen and engage with team members to understand their perspectives. I ensure regular updates and meetings to keep everyone aligned and foster an open environment where all ideas are welcome.

I start by identifying the source of the issue, whether it’s incorrect data inputs or processing errors. I utilize tools for monitoring data quality and run validation checks to highlight anomalies. Once identified, I work on a solution and document findings to prevent future occurrences.

I am familiar with Python and SQL as the primary tools for data manipulation, along with Git for version control. I also have experience with AWS services, particularly for storage and processing data, and I have a basic understanding of machine learning concepts that can integrate with data engineering projects.

I am particularly excited about the opportunity to work at BlastPoint because of its commitment to social impact through data solutions. Being part of a team that tackles real-world challenges while developing my technical skills aligns perfectly with my career aspirations.

I stay updated through various means, including attending webinars, participating in online communities, and following industry leaders on platforms like LinkedIn. I also enjoy reading blogs and research papers that provide insights into emerging technologies and methodologies in data engineering.