Data Engineer

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations.

This opportunity is 100% remote.

The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms.

Key Responsibilities

Data Pipeline Development & ETL/ELT

* Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms. * Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets. * Implement data transformation logic to support analytics, reporting, and regulatory use cases. * Ensure data pipelines are reliable, performant, and scalable in cloud environments. * Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization.

Cloud Data Platforms & Iceberg Architecture

* Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift). * Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes. * Support lakehouse architectures that unify data lakes and data warehouses. * Optimize data storage and retrieval strategies for performance and cost efficiency. * Enable data platforms that support AI/ML workloads and downstream generative AI use cases.

**CI/CD & DataOps E...