Data Engineer III

National Capitol Contracting
McLean, VA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
9 years minimum
Compensation
$165,000.0 - $175,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Access Microsoft Excel Agile Methodology Amazon Web Services Data Analysis Big Data Spreadsheets Cloud Computing Cloud Database Information Systems Data Governance Data Integration
+21 more
Extract Transform Load (ETL) Data Mining Data Visualization Data Warehousing Database Queries Python (Programming Language) Machine Learning Microsoft Office Power BI SQL Databases Tableau (Software) Unstructured Data Qliksense Navsea Data Lakes Information Technology Data Analytics Qlikview Data Management Amazon Redshift Programming Languages

Job description

NCC is seeking a Data Engineer III to join our team. This role will support the customer by leveraging data analytics, business intelligence tools, and cloud-based technologies to improve operational effectiveness, program performance, and decision-making. This role will work with large and complex datasets to develop dashboards, generate actionable insights, and support data-driven initiatives across customer programs. The ideal candidate is a lifelong learner and data champion who combines strong analytical skills and emotional intelligence with experience in data visualization, database querying, and cloud-based data environments.

The Data Science environment is flexible and highly collaboration oriented, with an expectation of cross training and dynamic teaming on complex problems. We work across contractual and organizational boundaries to help and be helped by large prime contractors, NAVSEA working groups, and Navy stakeholders. Success is measured in solving large structural problems, finding and eliminating small errors, and consistently delivering improved data governance, normalization, transformation, and visualization capabilities. Good stewardship, commitment to service, and a desire to effect positive change in a critical moment in our Navy’s mission are expected and celebrated. Key ResponsibilitiesAnalyze structured and unstructured data to identify trends, patterns, and actionable insights for risks, integrity, and optimized ingest.Design, develop, and maintain interactive dashboards and reports using PowerBI, Qlik Sense/QlikView.Extract, transform, and analyze data using SQL, Python, PostreSQL, and other data management tools.Support data integration efforts across multiple systems and data sources including existing Data Lakes, archived spreadsheets, Access and other legacy databases.Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.Develop and maintain data models, performance metrics, and key performance indicators (KPIs).Perform data quality assessments and recommend process improvements.Create visualizations and presentations that effectively communicate findings to technical and non-technical audiences.Document methodologies, processes, and technical solutions in accordance with NAVSEA and DoD standards.

Requirements

Minimum RequirementsActive Secret clearance.Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related technical field.9+ years of experience in data analytics, business intelligence, data science, or a related field.Hands-on experience with Tableau, PowerBI, Qlik Sense and/or QlikView for dashboard development and reporting.Experience writing and optimizing SQL queries for data extraction and analysis.Experience with AWS services and cloud-based data environments, or demonstrated ability to work within AWS platforms.Strong analytical, problem-solving, and critical-thinking skills.Experience working with large datasets and multiple data sources.Proficiency with Microsoft Office Suite, particularly Excel and PowerPoint.Strong written and verbal communication skills.

Preferred QualificationsKnowledge of data warehousing, ETL processes, and data governance principles.Experience with programming languages such as Python or R for data analysis and automation.Familiarity with AWS analytics services such as Amazon Redshift, Athena, Glue, QuickSight, or S3.Experience developing predictive models, statistical analyses, or machine learning solutions.Understanding of Agile methodologies and project management practices.Active Secret Clearance or higher.Experience presenting analytical findings to senior leadership and program stakeholders.

Compensation: $165,000 - $175,000

Benefits & conditions

$165,000.00

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