Job Title:

Data Engineer Employment Type:

W2 Contract Job Description We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate should have strong experience working with large datasets, cloud environments, ETL/ELT processes, and modern data engineering tools. Key Responsibilities Design and develop scalable ETL/ELT pipelines Build and maintain data ingestion, transformation, and integration workflows Work with structured and unstructured data from multiple sources Develop and optimize SQL queries, stored procedures, and data models Support data lakes, data warehouses, and analytics platforms Ensure data quality, reliability, governance, and performance Collaborate with Data Scientists, Analysts, Application teams, and business stakeholders Monitor and troubleshoot production data pipelines Implement automation and CI/CD practices for data workflows Required Skills Strong Python Strong SQL Experience with Spark / PySpark Experience building ETL/ELT pipelines Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform Data warehouse/lake technologies such as Snowflake, Databricks, Redshift, BigQuery, or Synapse Experience with Kafka or other streaming technologies Experience with relational and NoSQL databases Familiarity with Airflow, dbt, Informatica, or similar orchestration/integration tools Git and CI/CD experience Strong understanding of data modeling, data quality, and performance optimization