Anika Systems
Data Engineer
Leesburg, Virginia
No sponsorshipDetected 33 days ago
GitSQLRedshiftAWSTerraformCI/CDGitHub ActionsJenkinsDevOpsKafkaMachine LearningSparkAirflowData EngineeringData ScienceLLMsAgileFinancial AnalysisTest AutomationCollaborationFinancial Reporting
About the role
- 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
- 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
Responsibilities
- 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.
- 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.
- Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services.
- Automate build, test, and deployment processes for ETL pipelines and data platform components.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
- 5+ years of experience in data engineering, ETL development, or data platform engineering.
- Strong hands-on experience with:
- Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows.
- Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools).
- Experience processing XBRL or complex financial/regulatory datasets.
- Proficiency in SQL and Python.
- Experience implementing materialized views and query optimization techniques.
- Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases.
- Ability to work in Agile, DevOps-oriented environments.
Nice to have
- Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System.
- Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow).
- Experience with Apache Spark, Kafka, or other distributed data processing frameworks.
- Experience enabling data pipelines for AI/ML or generative AI applications.
- Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
- AWS or data engineering certifications.
- Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.
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Visa & Work Authorization
- Citizenship required; ability to obtain and maintain a federal clearance
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This listing is sourced directly from Anika Systems's careers page and normalized into a canonical job model.