Data Quality Automation Engineer, Mid-Level

Data Quality Automation Engineer, Mid-Level

Join to apply for the Data Quality Automation Engineer, Mid-Level role at Jobright.ai

Data Quality Automation Engineer, Mid-Level

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Job Summary :

Lansweeper is focused on ensuring data integrity for their machine learning pipelines. They are seeking a Data Quality Automation Engineer to design and implement automated data quality checks, collaborate with teams to define quality KPIs, and develop frameworks to maintain data validation across various workflows.

Responsibilities :

• You design and implement automated data quality checks to validate features, training sets, and inference inputs across ML pipelines
• You collaborate with ML engineers and data scientists to define quality KPIs and implement safeguards for data integrity and model health
• You develop and maintain data validation frameworks using tools like Great Expectations, dbt, or custom Python / SQL scripts
• You integrate data quality checks into CI / CD workflows for ML pipelines using tools such as Airflow, MLflow, or Kubeflow
• You build and monitor anomaly detection and drift monitoring systems for real-time and batch data
• You create dashboards and automated alerts to provide visibility and early warning signals on data issues
• You participate in code reviews, agile ceremonies, and data governance discussions to ensure quality is a shared responsibility
• You grow your skillset by exploring innovations in data observability, AI governance, and quality engineering at scale
• Design and implement automated data quality checks across ML pipelines to validate training data, features, and real-time inference inputs
• Build and maintain data validation frameworks using Python, SQL, and tools like Great Expectations, dbt, or Apache Deequ
• Develop profiling and monitoring systems for structured and unstructured data used in AI workflows
• Create drift detection and anomaly alerting pipelines to surface issues before they impact model performance
• Integrate data validation steps into CI / CD workflows using tools like Airflow, MLflow, or Kubeflow
• Collaborate with ML engineers, data scientists, and analysts to define data quality KPIs and enforce governance policies
• Set up dashboards, alerts, and reports to ensure data quality is visible and actionable across teams
• Drive data quality strategy and help shape data reliability engineering practices in a fast-paced AI-driven environment

Qualifications : Required :

Preferred :

Company :

Lansweeper develops a SaaS solution providing organization with a single pane of glass across their techology estate. Founded in 2004, the company is headquartered in Grembergen, Oost-Vlaanderen, BEL, with a team of 201-500 employees. The company is currently Growth Stage.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Industries

Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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