Sr. Data Engineer

Job Title

Sr. Data Engineer

18 Month Contract

100 W. Worthington Avenue, Charlotte, NC 28203

Hybrid – Tuesday and Thursday

$45/hr on W2

2 Rounds – Teams & Interview may be in person

• Round 1:
  Initial Tech screening
• Round 2:
  Hands on Coding panel of 3

No Coding skills and if they are ETL Developers

• Translates complex cross‑functional business requirements and functional specifications into logical program designs, code modules, stable application systems, and data solutions; partners with Product Team to understand business needs and functional specifications.
• Collaborates with cross‑functional teams to ensure specifications are converted into flexible, scalable, and maintainable solution designs; evaluates project deliverables to ensure they meet specifications and architectural standards.
• Contributes to the design and build of complex data solutions and ensures the architecture blueprint, standards, target state architecture, and strategies are aligned with the requirements.
• Coordinates, executes, and participates in component integration (CIT) scenarios, systems integration testing (SIT), and user acceptance testing (UAT) to identify application errors and to ensure quality software deployment.
• Participate in all software development end‑to‑end product lifecycle phases by applying and sharing an in‑depth understanding of complex industry methodologies, policies, standards, and controls.
• Develop detailed architecture plans for large scale enterprise architecture projects and drives the plans to fruition.
• Solve complex architecture/design and business problems; solutions are extensible; works to simplify, optimize, remove bottlenecks, etc.

• Executes the development, maintenance, and enhancements of data ingestion solutions of varying complexity levels across various data sources like DBMS, File systems (structured and unstructured), APIs and Streaming on on‑prem and cloud infrastructure; demonstrates strong acumen in Data Ingestion toolsets and nurtures and grows junior members in this capability.
• Builds, tests and enhances data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity.
• Supports the development of features/inputs for the data models in an Agile manner;
  Hosts Model Via Rest APIs; ensures non‑functional requirements such as logging, authentication, error capturing, and concurrency management are accounted for when model hosting.
• Works with Data Science team to understand mathematical models and algorithms; recommends improvements to analytic methods, techniques, standards, policies and procedures.
• Works to ensure the manipulation and administration of data and systems are secure and in accordance with enterprise governance by staying compliant with industry best practices, enterprise standards, corporate policy and department procedures; handles the manipulation (extract, load, transform), data visualization, and administration of data and systems securely and in accordance with enterprise data governance standards.
• Maintains the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensures high availability of the platform; works with Infrastructure Engineering teams to maintain the data platform; serves as an SME of one or more applications.

• Responsible for the development, maintenance, and enhancements of BI solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on‑prem and cloud infrastructure; creates level metrics and other complex metrics; use custom groups, consolidations, drilling, and complex filters.
• Demonstrates database skill (Teradata/Oracle/DB2/Hadoop) by writing views for business requirements; uses freeform SQLs and pass‑through functions; analyzes and finds errors from SQL generation; creates RSD and dashboard.
• Responsible for building, testing and…