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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineer - **Company:** Sacrum Technologies LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, ARM Architecture, Cloud Computing, Cloud Database, Computer Engineering, Data Validation, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Warehousing, Relational Databases, Github, Apache Hadoop, Apache Hive, Python (Programming Language), Meta-Data Management, NoSQL, Object-Oriented Software Development, Scrum Methodology, Cloud Services, Standard Sql, Scala (Programming Language), Amazon Simple Notification Service (SNS), SQL Databases, Data Streaming, Talend, Scripting, Freeform SQL, Informatica Powercenter, Snowflake, Apache Spark, Boomi, Informatica Cloud, Data Lakes, Information Technology, AWS Glue, Google Bigquery, Data Management, Cloud Integration, Functional Programming, Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Amazon Redshift - **Published:** August 26, 2026 - **Apply:** https://www.dice.com/job-detail/5c2f3d18-17c7-47a3-8044-ebb2f0d1cd67 ## About the Role * Bachelor''''s degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field. * 8+ years of experience in Data Engineering, ETL, data warehouse/data mart development, and data lake development. * Advanced working SQL knowledge and experience with relational databases. * Experience with Cloud Data Warehouses like Snowflake, Google BigQuery, Amazon Redshift. * Experience with AWS cloud services such as EC2, S3, Lambda, SQS, SNS, etc. * Experience with Cloud Integration Tools like Matillion, Dell Boomi, Informatica Cloud, Talend, AWS Glue. * Experience with GitHub and its integration with ETL tools for version control. * Experience with Informatica PowerCenter, scripting languages, SQL, querying tools. * Familiarity with modern data management tools and platforms including Spark, Hadoop/Hive, NoSQL, APIs, Streaming, and other analytic data platforms. * Experience with object-oriented/object function scripting languages like Python, Java, Scala, etc. * Experience with Agile/Scrum methodologies is valuable. Other Knowledge, Skills, or Abilities Required * Must be fluent in English. * Ability to work with both business and IT stakeholders. * Strong written and oral communication skills. * Strong interpersonal skills. * Ability to work independently and as part of a team. * Highly motivated and a self-starter with strong problem-solving skills. * Ability to multitask and meet aggressive deadlines efficiently. * Extraordinary attention to detail and accuracy. ## Description The Sr Data Engineer/AI Engineer will be responsible for developing ETL and data pipelines using AWS, Snowflake, Snowflake Cortex AI, and DBT. The ideal candidate should be experienced in building data pipelines using ELT methodology, self-directed, and comfortable supporting the data needs of multiple teams, systems, and products., * Building the infrastructure required for optimal extraction, transformation, and loading of data from various sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, and AWS technologies. * Designing and developing ELT, ETL, event-driven data integration architecture solutions. * Collaborating with Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to understand source data and determine data transformation and integration requirements. * Troubleshooting and tuning complex SQL queries. * Utilizing On-Prem and Cloud-based ETL platforms, Cloud Data Warehouse, AWS, GitHub, scripting languages, SQL, querying tools, data quality tools, and metadata management tools. * Developing data validation processes to ensure data quality. * Working individually and collaboratively as part of a team. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)