Insperity

Data Quality Engineer

Insperity • $90K — $110K *
Kingwood, TX 77339In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or related field, or equivalent experience in Business Intelligence/Data Engineering.
  • 3-5 years of experience in information systems, with 1+ year in enterprise software systems management.
  • Practical knowledge of automated data quality frameworks like Great Expectations, dbt, or similar.
  • Strong SQL proficiency with deep understanding of database management.
  • Experience in automating tests and integrating with CI/CD pipelines using Python.
  • Familiarity with big data tools such as Hadoop, Snowflake, or Databricks.
  • Effective communication skills to translate technical concepts for non-technical stakeholders.

Responsibilities

  • Engineers data pipelines to meet quality metrics.
  • Collaborates with stakeholders to integrate quality dimensions into solutions.
  • Designs and implements process improvements emphasizing automation and scalability.
  • Engages with executives and product management for comprehensive stakeholder alignment.
  • Creates and tests large data sets as per business requirements.
  • Ensures security measures are in place across all data platforms and environments.
  • Works with team members to leverage data assets as a competitive advantage.

Benefits

  • Collaborative work environment with access to various data initiatives.
  • Focus on continuous learning and professional development.
  • Exposure to cutting-edge data quality and observability frameworks.
  • Opportunity to directly influence the data engineering practices across the organization.
Full Job Description
Data Quality Engineer to join our team

Summary

This position is responsible for ensuring delivered products meet or exceed quality standards. Implements quality mechanisms such as functional, integration, performance, security, and other tests as part of the Data Engineering organization. Ensures data quality metrics and indicators are available for easy consumption by internal and external customers. Collaborates regularly with engineers, architects, analysts, data scientists, and business users across various data initiatives to ensure data quality practices remain consistent.

Responsibilities:
  • Participates in the engineering of data pipelines while ensuring the quality metrics are sufficiently met.
  • Partners with stakeholders to ensure quality dimensions are understood and engineered into solutions.
  • Identifies, designs, and implements process improvements with a heavy focus on automation, data delivery optimization, self-service, and scalability.
  • Works seamlessly with stakeholders including Executives, Product Management, Centers of Excellence, and others.
  • Participates in creation and testing of large, complex data sets to meet business requirements.
  • Ensures data security across all implementations, data centers, cloud providers, client machines, etc.
  • Collaborates with team members as we build and optimize our data assets into an innovative competitive advantage.


Qualifications:
  • Bachelor's Degree in Computer Science, a related field, or four years of related work experience in the Business Intelligence/Data Engineering field specifically, is required.
  • Three to five years of professional experience in information systems is required with at least one (1) years' experience testing, developing, architecting, managing, or maintaining enterprise grade software systems, database administration, or similar discipline.
  • Deep understanding and practical experience with common automated data quality and observability frameworks, e.g. Great Expectations, dbt, pytest, Talend, or similar.
  • Deep understanding and practical experience with SQL.
  • Ability to automate testing and integrate within CICD pipelines, primarily using Python.
  • Understanding of various 'big data' management tools/techniques, e.g. Hadoop, Snowflake, Redshift, Tableau, PowerBI, Databricks, etc.
  • Strong consensus building skills and the ability to find common ground or mutual agreement across complex topics involving compromise, negotiation, and similar tactics.
  • Exhibits a passion for learning and continuous improvement. Takes responsibility for acquiring new skills and broadening knowledge.
  • Exhibits a commitment to the utilization of defined standards and processes.
  • Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms and maintain effective work relations with those encountered in the course of employment.
  • Proactive at identifying and recommending areas for improvement and increased reliability.
  • Ability to create technical documentation and a desire to share knowledge amongst team members.
  • Understanding of data governance principles.

About Insperity

Insperity, Inc. provides human resources (HR) and business solutions to enhance business performance for small and medium-sized businesses in the United States. The company offers its HR services through its Workforce Optimization and Workforce Synchronization solutions, which include a range of human resources functions, such as payroll and employment administration, employee benefits, workers' compensation, government compliance, performance management, and training and development services. Insperity, Inc. was founded in 1986 and is headquartered in Kingwood, Texas.
Learn more about Insperity
Size
3,600 employees
Market Cap
$4.2 billion
Industry
Business Services
Net Income
$138.2 million
Founded
1986
5 Year Trend
+11.1%
Revenue
$4.2 billion
NASDAQ
NSP
* Ladders Estimates

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