> Markdown version of [/jobs/ext/1679205-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/1679205-data-engineer-ii). 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). --- # Data Engineer II - **Company:** TEKSYSTEMS INC. - **Location:** Linthicum Heights, MD, United States - **Experience:** Experienced - **Salary:** $78,400.0 - $117,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, ARM Architecture, Cloud Computing, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, SQL Databases, Data Ingestion, Snowflake, Data Lakes, Pyspark, Information Technology, Data Analytics, Data Management, Data Pipelines - **Published:** July 31, 2026 - **Apply:** https://www.juju.com/job/00000000gkk6wu ## About the Role We are seeking a highly skilled and talented Intermediate level Data Engineer with strong hands-on proficiency in GCP to develop and maintain modern, scalable data platforms. The ideal candidate should be a good team player with 3-5 years of experience in data engineering developing scalable and efficient ETL pipelines processing different formats of data (structured, semi-structured and unstructured) with deep hands-on expertise in Snowflake and Matillion and preferably some recent experience with Snowflake Cortex AI or Matillion Maia. This role requires curiosity, ability to thrive in a fast and evolving environment, effective communication, and deep expertise in developing, and deploying scalable, and high-performance cloud-native data solutions, under the guidance of architects, and team leaders., * Bachelor's degree in computer science, Engineering, or related field. * 3-5 years of experience in Data Engineering, with at least 2 years in Matillion and Snowflake * Strong hands-on expertise in Matillion * Proficiency in Python / PySpark, and SQL. * Strong hands-on experience building data pipelines * Experience working with different data sources (structured, semi-structured, and unstructured) * Curious and growth mindset, detail oriented, strong problem-solving, and excellent verbal and written communication skills * Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies. Preferred Qualifications: * Matillion data engineering certifications such as: Matillion ETL Foundations Certification Matillion Data Productivity Cloud Foundations Certification * Snowflake certifications such as: SnowPro Core Certification SnowPro Advanced: Data Engineer * Good Understanding of data modelling (Star/Snowflake) and performance tuning ## Description * Under the guidance from architect/lead, actively involves in requirement gathering from customers, ideating, and implementing the technical solutions * Collaborates closely with architects/leads and other stakeholders to identify the appropriate tools/technologies and implement the data management solutions * Develop scalable data ingestion, transformation, and orchestration pipelines following modern principles and industry best practices for data lake or data warehouse / analytics solutions in an on-prem or cloud native architecture * Builds all data management/analytics solutions following applicable Info-sec, quality control, and governance/maintenance standard * Complies with all internal and external (project specific) operational, compliance and governance processes. * Implement CI/CD pipelines for data and analytics workloads ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Got AI ideas but no money? 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