Insight Global | Data Engineer

As a Data Engineer at Insight Global, you'll primarily be responsible for utilizing SQL to document data definitions and maintain robust data infrastructures. Your tasks will include assisting in recreating SQL views and tables specifically for reporting, investigating discrepancies in data, and communicating with partner teams to understand source data and definitions.

To be considered for the Data Engineer role at Insight Global, candidates should have at least 2 years of experience coding in SQL, excellent documentation skills, and a solid understanding of relational databases. Familiarity with handling HR or sensitive data, as well as knowledge in Agile/Scrum methodology, Alteryx, Airflow, and Python, will also enhance your candidacy.

Yes, the Data Engineer position at Insight Global offers remote work flexibility! However, it is essential to be available during PST time zone hours to facilitate smooth collaboration with the team.

Candidates can expect a positive and collaborative work environment at Insight Global. The atmosphere encourages teamwork and communication, especially for those in the HR systems team, fostering an inclusive culture where contributions are valued and implemented.

As a Data Engineer at Insight Global, you may work on projects related to documenting field definitions, troubleshooting data discrepancies, and optimizing SQL tables for reporting. Your contributions will significantly influence how the HR teams utilize data to make informed decisions.

In your response, highlight specific projects where you've used SQL to solve problems or enhance data reporting. Discuss the complexity of the SQL queries you managed and how you ensured data integrity during your experience.

Describe your method for documenting data definitions, emphasizing clarity and consistency. Share an example that demonstrates your attention to detail and how effective documentation improved team understanding.

Provide a structured example that outlines the issue, your investigation process, and the solutions you implemented. Focus on your analytical thinking and communication skills in collaborating with different teams.

Explain your prioritization strategy, focusing on time management and understanding project impact. Mention tools or methodologies, like Agile, that you employ to stay organized and communicate with stakeholders effectively.

Talk about how you've participated in Agile projects, your role within a Scrum team, and any specific ceremonies you found beneficial for project success. Include how these methodologies improved your workflow.

If applicable, highlight your experience in handling sensitive data, emphasizing compliance, security measures, and the importance of maintaining confidentiality while ensuring data utility.

Discuss your verification process, including cross-referencing against established data benchmarks or conducting data quality checks. Highlight the importance of accuracy in decision-making for HR teams.

Mention specific tools like Alteryx, Airflow, or programming languages like Python that you have experience with. Provide examples of how you've leveraged these tools to enhance data management and analysis.

Share your strategies for staying up-to-date, such as following industry blogs, participating in webinars, or engaging with the data engineering community through forums or local meetups.

Reflect on the complexities of data integration, managing stakeholder expectations, or ensuring data quality. Share strategies you've developed over time to navigate these challenges effectively.