Sr. Data Engineer

Job Title: Sr. Data Engineer Location: Charlotte, NC (Hybrid: 3 days office in a week) Duration: 12+ Months Contract Job Description: In this role, you will help enable how critical transactional data moves from source systems into enterprise analytics platforms - ensuring it is trusted, well-governed, and optimized for insight at scale. You will design and deliver data pipelines and data products, working across teams to support analytics, reporting, and emerging data use cases while contributing to engineering standards and best practices in a modern data ecosystem. Responsibilities: Design, develop, test, and maintain data pipelines and integrations across multiple platforms. Build and optimize systems for data ingestion, transformation, and processing of large datasets. Support the full data lifecycle from acquisition and ingestion to analytics-ready datasets. Ensure high-quality, reliable solutions through testing, validation, and monitoring practices. Follow and promote best practices for version control, automated testing, and code quality. Partner with upstream and downstream teams to ensure data is modeled, governed, and delivered effectively. Participate in technical design discussions and contribute to solution design with guidance. Identify and address data quality issues, performance bottlenecks, and technical debt. Apply security policies and standards during development and support risk mitigation efforts. Create and maintain documentation for data processes, models, and pipelines. Collaborate with team members through code reviews, pairing, and knowledge sharing. Required Experience: Bachelor's degree plus 6 - 10 years related work experience or a Master's in related field plus 2 - 8 years related work experience. Proven experience as an IT professional. Solid leadership and presentation skills required. Experience with a variety of data modeling techniques and data structures. Ability to optimize data for analytics and data science. Experience building/operating systems for data extraction, ingestion and processing of large data sets. Knowledge and direct experience using business intelligence reporting tools. Experience building data products incrementally and integrating and managing datasets from multiple sources. Advanced planning, organizational, problem-solving, analytical, decision-making and communication skills required. Ability to collaborate with others required. Must be able to effectively communicate strategies and designs to all levels of the company. Must be able to maintain a high degree of accuracy and confidentiality. May be required to provide on-call support. Preferred Experience: Experience with modern enterprise data platforms (e.g., Snowflake). Familiarity with data quality tools and practices (e.g., Ataccama). Experience with data integration tools (e.g., AWS Glue, Fivetran, Informatica IDMC). Experience with transactional/source system data modeling (e.g., 3NF). Experience with monitoring, observability, and pipeline reliability.