Data Engineer

Element Solutions is a company that partners with clients to create meaningful user experiences through digital transformation. They are seeking a driven Data Engineer to support a federal government contract by designing, building, and maintaining scalable data pipelines for enterprise-level data integration.

Responsibilities:

• Build and maintain high-volume, scalable data pipelines using Apache Kafka and Apache Spark, supporting both real-time and batch data processing needs
• Design, develop, and optimize data ingestion, transformation, and integration workflows across enterprise systems
• Ensure data quality, consistency, and integrity across four (4) disparate data sources, implementing validation, cleansing, and reconciliation processes
• Develop and maintain SQL-based data solutions, including complex queries, stored procedures, performance tuning, and data modeling
• Collaborate with data analysts, product owners, and application teams to define data requirements and ensure alignment with business needs
• Implement monitoring, logging, and alerting mechanisms to ensure reliability and observability of data pipelines
• Support data architecture design and contribute to best practices for scalable and secure data engineering solutions
• Ensure compliance with federal data governance, security, and privacy requirements
• Participate in Agile ceremonies and support iterative development and delivery of data capabilities
• Troubleshoot and resolve data pipeline issues, ensuring minimal disruption to downstream systems and reporting

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field (or equivalent experience)
• 3+ years of experience in data engineering, data integration, or related technical roles
• Strong hands-on experience with Apache Kafka for streaming data pipelines
• Strong experience with Apache Spark for large-scale data processing (batch and/or streaming)
• Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic
• Experience integrating and managing data across multiple heterogeneous data sources
• Experience working in the federal government or other highly regulated environments with security and compliance requirements
• Strong understanding of data quality management, data validation, and data governance practices
• Strong problem-solving and analytical thinking abilities
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
• Strong attention to detail, especially in ensuring data accuracy and consistency
• Ability to work independently in a fast-paced, mission-driven environment
• Strong collaboration skills across cross-functional technical and business teams
• 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
• AWS Data Engineer certification
• Experience with cloud platforms such as AWS, Azure, or GCP (especially data services like S3, Glue, Databricks, or BigQuery)
• Familiarity with data orchestration tools (e.g., Airflow, NiFi, or similar)
• Experience supporting healthcare, insurance, or CMS-related data environments
• Knowledge of data modeling techniques (dimensional modeling, star/snowflake schemas)
• Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code for data systems
• Familiarity with real-time analytics and event-driven architectures