Senior Data/Systems Analyst

Diaconia; Gaithersburg (MD); Sur place; USD 140 000 - 200 000; Plein temps

Résumé du poste

Talantir is seeking an experienced Senior Data Engineer to lead the design and delivery of scalable data integration and platform solutions. You will set best practices for ETL/ELT, automation, and data quality while guiding data modeling and API access for analytics.

The role requires strong SQL, leadership, and communication skills, with experience in data warehouses, lakes, and both cloud and on‑prem environments. On-site in Gaithersburg, MD with security clearance considerations.

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.

Responsabilités

• Lead 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 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.

Connaissances

Leadership

Advanced SQL

Analytical thinking

Communication

Problem solving

Formation

Bachelor’s degree in Computer Science or related field

Outils

AWS

Redshift

S3

Kafka

Spark

Java/Scala

Git

CI/CD

Description du poste

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.

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