Data Analyst / Data Engineer
Onsite 5 days - MacLean VA Need Local
Long Term
Contract
Senior Data Analyst / Data Engineer with strong hands-on experience across data analytics, data warehousing, and data transformation to support large-scale banking and mortgage initiatives. This role requires deep technical expertise, strong problem-solving skills, and the ability to work end-to-end across the data lifecycle from design and development through testing, validation, and reporting. You will work closely with business, data, and technology teams to ensure data quality, accuracy, and usability across enterprise platforms and reporting solutions.
Key Responsibilities
Data Design & Development
Design, develop, and maintain data solutions across analytics, reporting, and data warehousing environments
Perform hands-on coding and development using SQL, Snowflake, Python, and SAS
Build and support data models, data pipelines, and integration processes
Data Transformation & Quality
Execute data migration, integration, and enrichment activities across complex data sets
Perform data profiling, validation, and testing to ensure data quality and integrity
Support source-to-target mapping and reconciliation activities
Analytics & Reporting
Deliver high-quality analytical outputs and reports to support business and regulatory needs
Develop dashboards and visualizations using Tableau and other reporting tools
Partner with stakeholders to translate business requirements into data solutions
Collaboration & Delivery
Work closely with business, engineering, and program teams to support delivery milestones
Document designs, logic, and testing outcomes clearly and consistently
Contribute to continuous improvement of data standards, processes, and controls
Qualifications
Strong hands-on experience in data analytics, data modelling, and data warehousing
Proven experience across data quality, data migration, data integration, and data enrichment
Expertise in SQL and relational database technologies
Hands-on experience with Snowflake, Python, and SAS development
Experience with databases such as Sybase, Oracle, DB2, SQL Server, or UDB
Strong experience with Microsoft Office tools, including Excel, PowerPoint, Word, and Access
Solid understanding of end-to-end data lifecycle: designing, coding, reporting, and testing
Preferred Experience
Banking or mortgage domain experience
Experience working in regulated or highly governed data environments
Exposure to large-scale enterprise data platforms or cloud data migrations
Munesh
,
CYBER SPHERE LLC
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