AWS Data Engineer

Hi There,

Greetings from Sightspectrum LLC..!!

I hope you doing well, Please find the below job description if you're comfortable share me your updated resume and contact details asap.

Authorized to work in the United States without sponsorship

Tite: AWS Data Engineer

Location: Philadelphia, PA(Hybrid)

Duration: 6+ Months

Healthcare exp mandatory for both the roles.

Required Skills & Qualifications:

• Strong experience with AWS data and serverless services (Lambda, Glue, Athena, S3, Step Functions or similar orchestration tools).
• Advanced proficiency in Python (required) and SQL, with experience in relational and NoSQL databases and in building reusable ETL/ELT libraries. Hands-on experience with PySpark for distributed data processing is strongly preferred; TypeScript experience for AWS CDK required.
• Experience with MLOps practices, including versioned feature and training datasets, orchestration of training and scoring workflows, CI/CD, model/data monitoring, and reproducible deployments in partnership with AI.
• Solid understanding of data modeling principles for AI workloads. Apply schema evolution, incremental processing, partitioning, and columnar or open-table formats such as Parquet and Iceberg.
• Experience designing and operating data pipelines at scale, including batch and near real time ingestion. Hands-on experience with Kafka is preferred.
• Familiarity with SQL and query optimization in columnar data stores and engines.
• Knowledge of data quality, governance, and security for sensitive healthcare and financial data, including least-privilege access, retention, classification, tokenization, and de-identification.
• Hands on experience with Infrastructure as Code, preferably AWS CDK, for provisioning and managing data infrastructure.
• Ability to partner with AI and Analytics teams to design data solutions for model experimentation and production; Kedro or similar workflow experience is a plus.
• Knowledge of responsible AI and data-use practices, including permitted-use controls, privacy, fairness considerations, documentation, and governance for sensitive healthcare and financial data.
• Strong communication skills to explain complex data concepts clearly to business stakeholders; regulated-domain experience, preferably healthcare claims or insurance, is a plus.

Minimum Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience; a master's degree is preferred.
• 5+ years in data engineering or a related role, with significant ownership of production data pipelines and analytics platforms; hands-on ML/AI experience supporting feature preparation, model training, deployment, or monitoring is strongly preferred.
• Experience with AWS data services in a production environment (for example, Lambda, Glue, Athena, and S3) is preferred; equivalent production experience on another cloud data platform will be considered.
• Experience building and maintaining data solutions that support reporting, BI, and/or AI/ML initiatives