> Markdown version of [/jobs/ext/2639294-abinitio-data-engineer](https://www.wearedevelopers.com/jobs/ext/2639294-abinitio-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Abinitio Data Engineer - **Company:** MK SOFTWARE SOLUTIONS INC - **Location:** United States (Remote available) - **Contract:** Temporary contract - **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Unix, Data Warehousing, DevOps, Apache Hive, Identity and Access Management, Korn Shell, Standard Sql, Shell Script, Amazon Simple Notification Service (SNS), SQL Stored Procedures, SQL Databases, Teradata SQL, Apache Spark, Ab Initio, Git, Data Lakes, Atlassian Tools, Functional Programming, Cloudwatch, Amazon Simple Queue Service (SQS), Jenkins, Databricks, Artifactory - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/df6870d0-be56-4575-911e-001403e84540 ## About the Role * Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, and DataBricks. * Experience of Ab Initio is required. * Strong experience in writing complex and effective SQLs (using Teradata SQL, Hive SQL and Spark SQL) and Stored Procedures. * Excellent work experience on DataBricks as data warehouse/Data Lake implementations. * Experience in Agile and working knowledge on DevOps tools (Git, Jenkins, Artifactory) Unix/Linux Shell scripting (KSH) and basic administration of Unix servers CA7 Enterprise Scheduler AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch) Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration). * Experience in Jira and Confluence Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives. * Health care domain knowledge is a plus ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)