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Great Expectations Jobs (NOW HIRING)

Data automation experience using Great Expectations, TabJolt, DataBricks, RightData etc., is a PLUS. Experience working in food and transportation industry is a PLUS.

dishwasher

Davis, WV

$13 - $16.75/hr

Evenings and Weekends are a must We are a very busy restaurant with great expectations. Responsibilities * Washing dishes, cleaning kitchen area Qualifications * Must be willing to work days ...

dishwasher

Davis, WV · On-site

$13 - $16.75/hr

Evenings and Weekends are a must We are a very busy restaurant with great expectations. Responsibilities * Washing dishes, cleaning kitchen area Qualifications * Must be willing to work days ...

dishwasher

Davis, WV · On-site

$13 - $16.75/hr

Evenings and Weekends are a must We are a very busy restaurant with great expectations. Responsibilities:* Washing dishes, cleaning kitchen area Qualifications:* Must be willing to work days ...

SDET

Seattle, WA · On-site +1

$57 - $73.50/hr

Test Automation & Framework Development Design, develop, and maintain robust Python-based test automation frameworks using pytest and Great Expectations Build and enhance data validation frameworks ...

dishwasher

Davis, WV

$13 - $16.75/hr

Evenings and Weekends are a must We are a very busy restaurant with great expectations. Responsibilities * Washing dishes, cleaning kitchen area Qualifications * Must be willing to work days ...

Azure Data Engineer

Riverside, NJ · On-site

$115K - $138K/yr

Great Expectations for data validation. * Experience with commercial / financial / erp processes. * DataDog or Splunk for data platform observability. * Experience on Data Validation and Power BI

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Establish data quality checks (e.g., Great Expectations), lineage, and governance (Unity Catalog, RBAC). * Collaborate with Data Science/ML and Product to productionize models and AI workflows ...

Develop reusable validation patterns using Great Expectations or similar frameworks * Leverage Claude Code and prompt engineering to accelerate test generation and standardization * Create reusable ...

Develop reusable validation patterns using Great Expectations or similar frameworks * Leverage Claude Code and prompt engineering to accelerate test generation and standardization * Create reusable ...

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Great Expectations information

What are some common challenges faced by a Data Engineer working with Great Expectations for data validation?

Data Engineers implementing Great Expectations often encounter challenges such as integrating the tool seamlessly into existing data pipelines, managing and maintaining a growing suite of validation tests, and ensuring that validation results are communicated effectively to stakeholders. Additionally, keeping the expectations up-to-date as data schemas evolve can require close collaboration with data analysts and business users. However, overcoming these challenges leads to more reliable data and a stronger data quality culture within the team.

What is the difference between Great Expectations vs Data Analyst?

AspectGreat ExpectationsData Analyst
Required CredentialsPython, data validation, testing frameworksStatistics, data analysis, Excel, SQL
Work EnvironmentData engineering teams, data pipelinesBusiness units, reporting teams
Industry UsageData quality, data validationData interpretation, reporting

Great Expectations focuses on data validation and quality assurance within data pipelines, often used by data engineers. Data Analysts interpret data and generate reports, requiring skills in statistics and visualization. While both roles work with data, Great Expectations is more technical and validation-oriented, whereas Data Analysts focus on insights and business intelligence.

What are Great Expectations in the context of data engineering?

Great Expectations is an open-source Python-based data validation framework used to help data teams ensure data quality and reliability. It allows users to define, execute, and document data tests, known as 'expectations', which validate whether data meets specific criteria. Great Expectations integrates with various data sources and pipelines, providing automated documentation and clear visibility into data quality issues. It's widely used in data engineering and analytics workflows to prevent data-related errors and to build trust in data assets.
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Other

Posted 29 days ago


Job description

Data Warehouse Tester

7+ years of work experience, particularly in data warehouse testing, complex data models, BI reporting, big data projects. Extensive exposure to Back-end/ETL testing with strong SQL skills is a must. Hands-on experience with Cloud services such as AWS, Azure, IICS. Experience working with databases like SSMS, Oracle, Workbench, Snowflake. Experience working with reporting tools such as Merlin, Tableau, Sigma. Experience analyzing stories, acceptance criteria, general requirements, developing test plans, test cases, and preparing test data, including evaluating the overall testability. Experience testing multiple test phases in medium to large projects. Experience handling multiple concurrent priorities with limited oversight. Should have adequate experience and a clear understanding of data warehouse and data mart testing. Knowledge of FiveTran, DBT, Airflow, Great Expectations is a PLUS. Data automation experience using Great Expectations, TabJolt, DataBricks, RightData etc., is a PLUS. Experience working in food and transportation industry is a PLUS.