Data Engineer, People Analytics

Zoom·Remote(Flexible / Remote)

Software Development

WFA Digital Insight

The demand for skilled data engineers in people analytics has seen a significant surge, with a 25% increase in job postings over the last year. As companies navigate the complexities of remote work, the need for data-driven insights to inform strategic workforce decisions has never been more pressing. Zoom, a pioneer in remote communication, is at the forefront of this trend, and their People Analytics team is looking for a talented Data Engineer to help drive this effort. With the right combination of technical skills and experience, candidates can capitalize on this opportunity to make a meaningful impact in the industry. Before applying, it's essential to understand the complexities of working with large datasets, the importance of data visualization, and the role's potential for growth within a dynamic company like Zoom.

Job Description

About the Role

The Data Engineer, People Analytics role at Zoom presents a unique opportunity for a skilled professional to join a team dedicated to delivering data insights that drive strategic workforce decisions. As part of the IT department, this role will focus on architecting and maintaining robust data infrastructure that powers analytics for the People Experience organization. The successful candidate will be responsible for designing scalable ETL pipelines, building optimized data models, and ensuring data quality across multiple HR systems. This position is crucial in transforming raw people data into reliable, analytics-ready datasets that inform key decisions.

The role is nestled within Zoom's Information Technology team, which is known for its dedication to customer happiness, business efficiency, and innovation through data insights and automation. The team's impact is evident in the seamless user experiences, streamlined processes, and support for Zoom's growth in communication and collaboration. By delivering data infrastructure and analytics for Zoom's People Experience organization, the team collaborates closely across IT and HR to build reliable, scalable solutions aimed at turning people data into actionable insights.

What You Will Do

Design, build, and maintain large-scale data pipelines and architectures that meet the analytics needs of the People Experience organization.
Develop and optimize ETL processes to ensure efficient data flow from various HR systems into the analytics environment.
Collaborate with cross-functional teams to identify data requirements and develop solutions that meet business needs.
Work closely with the data science team to identify areas for data improvement and implement data quality checks.
Develop and maintain data models that support analytics requirements, ensuring data consistency and integrity.
Utilize expertise in SQL and Python for data manipulation, analysis, and visualization.
Apply hands-on experience with Airflow for workflow orchestration and dbt for data transformation.
Leverage expertise in AWS data services and cloud infrastructure to ensure scalability and reliability.
Collaborate with the data visualization team to design and implement data visualizations that tell compelling stories.
Participate in the design and implementation of data privacy and security measures to protect sensitive people data.
Stay updated with the latest technologies and trends in data engineering and analytics, applying this knowledge to continuously improve processes and solutions.

What We Are Looking For

Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
At least 5 years of experience in data engineering roles, with a focus on people analytics or a related field.
Proficiency in SQL and Python for data manipulation and analysis.
Hands-on experience with Airflow for workflow orchestration and dbt for data transformation.
Experience with AWS data services and cloud infrastructure.
Strong understanding of data modeling and data warehousing principles.
Experience working with HR systems such as Workday or similar.
Knowledge of data visualization tools such as Tableau or Power BI.
Strong analytical and problem-solving skills, with the ability to work in a fast-paced environment.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice to Have

Experience with additional data engineering tools and technologies.
Certification in data engineering or a related field.
Experience working in an agile development environment.
Knowledge of machine learning principles and their application in people analytics.

Benefits and Perks

Competitive salary and benefits package.
Opportunities for professional growth and development within a dynamic and innovative company.
Flexible working hours and remote work options.
Access to the latest technologies and tools in data engineering and analytics.
Collaborative and supportive team environment.
Comprehensive health insurance and wellness programs.
Generous PTO and holidays.
Employee stock purchase plan.
Continuous learning and development opportunities through workshops, webinars, and conferences.

How to Stand Out

Ensure your resume and cover letter highlight specific experiences with data engineering tools and technologies, such as Airflow, dbt, and AWS data services.
Prepare to discuss your approach to data modeling and data warehousing, including how you ensure data quality and integrity.
Showcase your ability to communicate complex technical concepts to non-technical stakeholders, as this is crucial in a People Analytics role.
Be ready to walk through your experience with data visualization tools and how you have used them to tell compelling stories with data.
Consider preparing examples of how you have applied data engineering principles to solve real-world problems, and be prepared to discuss these during the interview.
Highlight any certifications or additional education in data engineering or related fields, as these can be advantageous in the selection process.
Research Zoom's culture and values, and be prepared to discuss how your skills and experience align with these, demonstrating your potential for growth within the company.

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