Senior Data Engineer - Python, AWS, Snowflake, Airflow | Contract | Remote

Job Title: Senior Data Engineer (Python, AWS, Snowflake, Airflow)Location: Remote (Preference for Chicago area candidates)Duration 6 months plusStart Date: Mid-MayInterview Process: 2 roundsPay rate: $70/HR - $80/HR W2 (negotiable)OverviewWe are seeking a Senior Data Engineer to design and build scalable data pipelines supporting enterprise data initiatives. This role will focus on extracting, transforming, and loading both structured and unstructured data into a modern cloud data platform, primarily leveraging AWS and Snowflake .You will play a key role in building end-to-end data workflows, orchestrating pipelines, and enabling downstream data consumption through optimized data structures and user-facing interfaces.Key ResponsibilitiesDesign and develop end-to-end data pipelines using PythonExtract data and documents from enterprise data stores using connectorsLoad and manage data in AWS (S3) and SnowflakeProcess both structured and unstructured data for downstream consumptionBuild and maintain data models and tables for business applicationsOrchestrate workflows using Apache Airflow for scheduling and monitoringCollaborate on building UI/data access layers on top of SnowflakeEnsure data quality, scalability, and performance across pipelinesSupport cross-functional teams with data and reporting needsRequired SkillsStrong experience in Python (data pipeline development, scripting)Hands-on experience with AWS services (especially S3, Lambda)Expertise in Snowflake (data loading, modeling, performance tuning)Experience with Apache Airflow for orchestration and schedulingSolid understanding of ETL/ELT processesExperience handling both structured and unstructured dataNice-to-Have SkillsExperience building UI or data access layers on top of SnowflakeFamiliarity with data visualization/reporting toolsKnowledge of Kafka (not required but beneficial for other projects)Experience with traditional ETL toolsProject OverviewBuild a cloud-based data pipeline using PythonLoad data into AWS S3 , then into SnowflakeTransform raw data into structured formats for business useOrchestrate the entire workflow using AirflowEnable end-user access via UI on top of SnowflakeAdditional NotesRemote candidates are acceptable; local candidates near Chicago are a plusInterviews will begin shortly, with onboarding targeted for mid-MayPlease apply with your interest. You may also reach out to me atThank you,AshuWe provide a comprehensive package which includes.BenefitsMedical for full time employeesDental, and Vision InsuranceLife Insurance, Short-Term Disability, Long-Term Disability, etc.