Data Engineer, HR

Lakeshore Talent

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Lakeshore Talent is seeking a talented Data Engineer to join an organization’s team we are partnered with to help develop a program that visualizes the Span of Control across the organization. This role will also support the transition of various HR sources of truth into the cloud-based data warehouse and facilitate integration into Power BI.

  • Location: Fully Remote (excluding PST timezone)

  • Pay: $60-$90/hr (depending on experience)
  • Contract Length: 12 weeks 

Responsibilities:

  • Design, develop, and implement a program to visualize the Span of Control for a mid-size company.
  • Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
  • Extract, transform, and load (ETL) data from various sources to ensure accurate and up-to-date information.
  • Develop data models and algorithms to analyze and visualize organizational hierarchies and reporting structures.
  • Create interactive dashboards and visualizations to provide insights into the Span of Control.
  • Ensure data integrity, security, and compliance with company policies and industry standards.
  • Optimize data processing workflows for performance and scalability.
  • Document technical processes, methodologies, and best practices.
  • Integrate and manage data pipelines using Snowflake to enhance data processing and storage capabilities.
  • Leverage Snowflake’s data warehousing capabilities and integrate with visualization tools like Power BI.
  • Utilize R or Python for data analysis and process automation.

 

Required Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong understanding of ETL processes and data warehousing concepts.
  • Familiarity with organizational structures and Span of Control concepts.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Strong interpersonal skills and ability to effectively communicate with team members and stakeholders.
  • Exceptional English written and verbal communication skills, including grammar and business correspondence.
  • Ability to write clear and structured reports, memos, and professional correspondence.
  • Ability to collaborate with subject matter experts and leadership to develop training resources aligned with adult learning principles.
  • Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations.
  • Strong analytical skills to interpret data and generate accurate reports.

 

Computer Skills:

  • Proficiency in programming languages such as Python, SQL, and R.
  • Experience with Snowflake and its data warehousing capabilities.
  • Knowledge of integrating Snowflake with data visualization tools like Power BI.
  • Proficient in Microsoft Word, Excel, and Outlook.
  • Ability to quickly learn and adapt to new software applications.

 

Preferred Qualifications:

  • Master’s degree in a related field.
  • Knowledge of machine learning and statistical analysis.
  • Experience with big data technologies such as Hadoop or Spark.

 

Other Skills and Abilities:

  • Strong project management skills to handle multiple projects simultaneously.
  • Organized, detail-oriented, diplomatic, proactive, self-motivated, and dependable.
  • Ability to work consultatively and solve problems independently.
  • Excellent communication skills, with the ability to lead through influence.
  • Even-tempered and able to balance multiple tasks while meeting deadlines in a fast-paced environment.
  • Ability to establish and maintain cooperative and positive working relationships.

 

If you are a highly analytical and detail-oriented Data Engineer looking for a role that combines data engineering with HR analytics, we encourage you to apply!

 

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