Senior Data/Systems Analyst

Job Description

Description:

Key Responsibilities

Lead the design, implementation, and management of data integration and data platform solutions with a focus on performance, scalability, and reliability

Establish and enforce best practices for data integration, ETL/ELT, automation, monitoring, and data quality

Design and maintain cloud and/or on-premise data warehouses, data lakes, and data access APIs

Oversee data modeling efforts including dimensional modeling, denormalized structures, and OLAP concepts

Drive delivery of data engineering initiatives, including structured and unstructured data pipelines

Apply data extraction, transformation, and loading techniques to integrate large datasets from multiple sources

Support analytical use cases by enabling data availability, quality controls, and reporting frameworks

Provide technical leadership, mentorship, and direction to data engineering teams

Provide required technical documentation for all relevant deliverables

Disclaimer "The responsibilities and duties outlined in this job description are intended to describe the general nature and level of work performed by employees within this role. However, they are not exhaustive and may be subject to change or modification at any time to meet the evolving needs of the organization and client.Requirements:

Required Qualifications

Bachelor’s degree in Computer Science, Information Technology, or related field

8+ years of experience in data engineering, including leading teams and delivering scalable data platforms

Strong experience designing and developing ETL/ELT pipelines

Hands-on experience with data modeling, relational databases, and application development

Expert-level SQL skills

Strong problem-solving, analytical, and troubleshooting abilities

Excellent communication and organizational skills with the ability to manage multiple priorities

U.S. Citizenship is required by the Federal Client

Must have or able to obtain DoD Public Trust Clearance

Preferred Qualifications

3+ years of AWS data engineering experience (e.g., S3, Redshift, Kafka, and related services)

Experience building data pipelines using Spark with Java or Scala

Strong Java development experience in enterprise environments

Familiarity with DevOps tools such as Git, Artifactory, and CI/CD pipelines

Expert understanding of data movement, data exchange formats, and database design concepts

Full-time