Element is seeking a Sr. Data Engineer to support a transformative state government AI initiative focused on leveraging data to drive better decision-making, transparency, and service delivery. This role will be part of a multidisciplinary team building scalable data infrastructure, enabling machine learning applications, and ensuring data quality and governance across state systems.
Requirements
- Expertise in Python, SQL, and modern data engineering frameworks (e.g., PySpark, dbt, Airflow, Kafka).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and data warehousing technologies (Snowflake, BigQuery, Redshift, Synapse).
- Strong understanding of data modeling, data governance, and API-based data integration.
- Experience supporting AI/ML initiatives, MLOps pipelines, and scalable data science environments.
- Demonstrated experience implementing FAIR-aligned data architectures and metadata cataloging within public-sector or research ecosystems.
- Proven ability to design and maintain compliant data-sharing pipelines that support sandbox testing and phased rollout strategies.
- Familiarity with accessibility and inclusivity requirements (WCAG 2.1, multilingual readiness) for data systems and visualization tools.
Responsibilities
- Design, build, and maintain data pipelines and ETL/ELT processes to support AI and analytics initiatives across multiple state agencies.
- Develop and optimize data lakes and data warehouse architectures in cloud environments (e.g., AWS, Azure, GCP).
- Collaborate with data scientists, analysts, and application developers to operationalize AI models and analytical workflows.
- Implement data quality frameworks, governance policies, and metadata management in compliance with state and federal regulations.
- Ensure data security, privacy, and compliance standards (HIPAA, CJIS, FERPA, etc.) are met in all engineering processes.
- Support the integration of AI/ML pipelines, MLOps tools, and model versioning into production environments.
- Implement data interoperability and sharing pipelines that align with FAIR data principles (Findable, Accessible, Interoperable, and Reusable) to enhance transparency and collaboration across state agencies.
Other
- US Citizenship or Permanent Residency required.
- Must reside in the Continental US.
- Depending on the government agency, specific requirements may include public trust background check or security clearance.
- Familiarity with public sector data standards, compliance frameworks, and procurement environments.
- Experience working on government contracts or with state data modernization programs.
