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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Robert Half - **Location:** New York, NY, United States - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Big Data, Cloud Database, Information Systems, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Software Design Patterns, Github, Apache Hadoop, Python (Programming Language), PostgreSQL, Power BI, Data Streaming, Cloud Platform System, Apache Spark, Pandas, Information Technology, Apache Kafka, Build Process, Data Management, Video Streaming, Jenkins, Databricks - **Published:** July 23, 2026 - **Apply:** https://www.juju.com/job/00000000gisty2 ## About the Role * Guide engineers, analysts, data stewards, and quality resources by providing training, support, and leadership on how to build, maintain, and use Great Expectations validations effectively. Requirements * Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline. * Demonstrated experience implementing and supporting Great Expectations in enterprise data environments. * Strong programming capability in Python with practical use of technologies such as pandas and Apache Spark. * Hands-on experience with data engineering platforms and databases, including tools such as Databricks, PostgreSQL, or comparable technologies. * Knowledge of cloud-based data validation practices in environments such as Azure and other modern data ecosystems. * Solid understanding of ETL and ELT design patterns, orchestration concepts, and data modeling approaches. * Ability to define data quality metrics and deploy automated controls at scale across complex pipelines. * Familiarity with big data and streaming technologies such as Apache Hadoop or Apache Kafka is preferred. Technology Doesn't Change the World, People Do.®, All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. ## Description Description We are looking for a Data Engineer to lead the design and adoption of a scalable data quality framework built on Great Expectations across enterprise data environments in Cincinnati, Ohio. This Long-term Contract position will focus on strengthening trust in data used for reporting, analytics, and operational decision-making by embedding quality controls into modern pipelines and cloud-based platforms. The role works closely with engineering, governance, analytics, and business teams to establish practical standards, automate validation processes, and improve visibility into data health across the organization. Responsibilities: * Shape and standardize the organization's approach to data quality by creating reusable Great Expectations assets, test patterns, and validation frameworks. * Implement and refine Great Expectations across batch, streaming, and cloud-based data workflows to support dependable quality checks throughout the data lifecycle. * Administer core GX components, including Data Contexts, Expectation Suites, Checkpoints, and generated documentation, to ensure consistent execution and maintainability. * Define and promote effective methods for writing expectations, running validations, and documenting outcomes for technical and business audiences. * Establish measurable data quality indicators such as completeness, accuracy, validity, and timeliness, and build processes to track performance over time. * Integrate automated validation into engineering delivery pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins to support repeatable deployment practices. * Investigate recurring quality defects, identify underlying causes, and coordinate corrective actions with engineering and business stakeholders. * Create dashboards and reporting solutions in tools such as Power BI or Databricks to communicate trends, exceptions, and risk areas. ## Related Videos - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)