Data Engineer - W2 Position

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ASCII Group LLC, is seeking the following. Apply via Dice today!Hi,The following requirement is open with our client.Title : Data EngineerLocation : Omaha, NE or Chicago, IL - OnsiteDuration : 12+ MonthsRate :$42/hr on W2 Position : W2 PositionRelevant Experience (in Yrs.): Job Description: 5–8 years of experience in data engineering or a related role. Advanced proficiency in SQL for complex data transformation and analysis. Hands-on experience with cloud-based data platforms such as Databricks, Snowflake, or similar tools. Experience with ETL/ELT tools and frameworks (e.g., Informatica, Talend, dbt, or equivalent). Strong proficiency in Python and/or PySpark for data processing and pipeline development. Strong understanding of data modeling, database design principles, and building curated datasets for analytics and operational use cases. Experience with DevOps practices and Git-based development (branching strategies, pull requests, code reviews). Experience implementing CI/CD for data pipelines/workflows and managing deployments across environments. Client Domain Knowledge will be a plus. Familiarity with orchestration and workflow tools (e.g., Databricks Workflows, Airflow, or similar) is preferred. Familiarity with Infrastructure as Code (e.g., Terraform, CloudFormation) and/or containerization concepts is a plus. Strong problem-solving skills, attention to detail, and ability to troubleshoot complex issues end-to-end. Excellent communication skills and ability to collaborate across technical and non-technical teams.Key Responsibilities: Lead the design, development, and maintenance of scalable data pipelines that process and integrate data from multiple sources into the Enterprise Data Platform. Build pipelines and workflows as code using modern engineering practices (version control, code reviews, automated testing, reusable components). Define and implement patterns for CI/CD for data pipelines (automated builds, tests, deployments, and environment promotion). Partner with data scientists, analysts, and business teams to gather requirements and translate them into robust data solutions.Must Have Skills: Databricks, Snowflake, Pyspark