cBEYONData + SMX

ClearedOnsiteDataAnalyst

$96–161k Washington, District of Columbia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Cleared Onsite Data Analyst at cBEYONData + SMX. Skills: Data pipelines, ETL, Data warehousing, AWS. Design data pipelines. Develop data pipelines”

What You'll Achieve.

Support strategic decision-making; Support business operations; Deliver reliable back-end data solutions; Deliver scalable back-end data solutions; Ensure reliable processing; Ensure efficient processing; Ensure performance optimization; Ensure data integrity; Maintain high data quality; Maintain high data reliability; Ensure uninterrupted business operations

Industry & Context.

Problems you'll solve

Troubleshoot and resolve data-related issues

Eligibility Requirements

On-site work four days a week, Active Top-Secret clearance

What They're Looking For.

Must Have

6 + years of data analysis experience, Proficiency in SQL, Experience with ETL tools, Experience with data orchestration tools, Familiarity with cloud platforms, Familiarity with AWS services, Knowledge of data warehousing, Knowledge of data integration techniques, Understanding of data processing, Understanding of performance optimization, Active Top-Secret clearance

Nice to Have

Bachelor's degree in Statistics, Bachelor's degree in Mathematics, Bachelor's degree in Computer Science, Bachelor's degree in Business Analytics, Experience with federal data modernization, Experience with federal analytics programs

What You'll Do.

Design data pipelines

Develop data pipelines

Maintain data pipelines

Integrate data from sources

Implement ETL processes

Manage database operations

Optimize database operations

Collaborate with data analysts

Understand data requirements

Translate data requirements

Create data architectures

Ensure data integrity

Validate data processes

Maintain data quality

Maintain data reliability

Troubleshoot data issues

Document data processes

Document data workflows

Document data solutions

How You'll Work.

Team & Collaboration

Cross-functional teams; With data analysts; With stakeholders; Team collaboration

Full Job Description

SMX is seeking a motivated and detail-oriented Data Analyst to join our team. This role focuses on creating and maintaining efficient data processing systems and pipelines to support strategic decision-making and business operations. The ideal candidate will work closely with cross-functional teams to deliver reliable and scalable back-end data solutions. This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D. C. An active Top-Secret clearance is mandatory. Key Responsibilities • Design, develop, and maintain data pipelines, integrating data from various sources to ensure reliable and efficient processing. • Implement ETL (Extract, Transform, Load) processes using tools such as Apache Airflow, AWS Glue, Informatica, or similar technologies. • Manage and optimize database operations, leveraging SQL and working with modern data warehousing platforms such as AWS Redshift. • Collaborate with data analysts and other stakeholders to understand data requirements and translate them into robust back-end solutions. • Create scalable and efficient data architectures, ensuring performance optimization and data integrity. • Conduct thorough testing and validation of data processes to maintain high data quality and reliability. • Troubleshoot and resolve data-related issues to ensure uninterrupted business operations. • Document data processes, workflows, and solutions for knowledge sharing and team collaboration. • Stay updated with emerging technologies and best practices in data engineering and development. Required Qualifications • 6 + years of data analysis experience • Proficiency in SQL and a strong understanding of database systems. • Experience with ETL and data orchestration tools such as Apache Airflow, AWS Glue, or Informatica. • Familiarity with cloud platforms and services, particularly AWS. • Knowledge of data warehousing and data integration techniques. • Strong understanding of data processing and performance op

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