About the Company
The company is a global advisory and technology services provider that combines industry expertise with advanced technology to help organizations solve complex challenges. It operates in a collaborative environment focused on innovation, data-driven decision-making, and long-term impact.
About the Role
The organization is seeking a Data Engineer to support data management and data analysis initiatives in a consulting environment. The role involves building scalable data pipelines, developing dashboards, and ensuring high data quality and governance standards across platforms.
Key responsibilities
- Create dashboards using AWS QuickSight with visuals and tables for data analysis
- Design and maintain scalable Spark-based data ingestion pipelines
- Lead orchestration for batch and event-driven workflows
- Develop reusable templates and self-service data solutions
- Optimize distributed compute resources for performance and cost efficiency
- Define and enforce data contracts and manage schema versioning
- Automate metadata processes to ensure strong data governance
- Collaborate on compliance requirements including PII handling and data retention
- Implement and enforce data quality checks across datasets
- Embed data quality validation within pipelines
- Log and monitor quality metrics for continuous improvement
- Work with architects to define engineering standards and best practices
- Translate business requirements into scalable data products
- Lead incident triage, root cause analysis, and system improvements
- Define and track KPIs for data quality, stability, and cost
- Present and demonstrate dashboards to stakeholders and clients
- Work within a SAFe agile framework to deliver high-quality solutions
Requirements
- Bachelor’s degree
- 1+ years of experience with tools such as JIRA, GitHub, and Confluence
- 2+ years of experience working with AWS cloud platforms
- 2+ years of experience with relational databases and data warehousing concepts
- 1+ years of experience with Python, Scala, and Spark technologies
- 1+ years of experience with data orchestration tools such as NiFi, Airflow, or Step Functions
- 1+ years of experience with serverless or cloud-native analytics platforms
- Ability to obtain and maintain a Federal Public Trust
- Must reside in and be authorized to work in the United States
- Must have lived in the United States for at least three of the past five years
Nice to Have
- Familiarity with data profiling, data catalogs, lineage tools, or observability platforms
- Experience with federated data governance practices
- Strong problem-solving skills and quantitative thinking
- Ability to manage multiple projects in fast-paced environments
- Experience in consulting or healthcare environments
Professional Skills
- Strong leadership and teamwork abilities
- Effective analytical, problem-solving, and decision-making skills
- Excellent communication and interpersonal skills
- High level of organization and attention to detail
- Ability to prioritize and manage multiple tasks
Benefits
- Competitive compensation based on experience, skills, and location
- Inclusive and collaborative work environment
- Opportunities for professional growth and development
- Support for workplace accommodations where applicable