Remote Senior Data Analyst at Jobgether

, Kentucky, United States -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

0.0

Posted On

08 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modernization, Data Federation, Analytics, SQL, Starburst Enterprise Platform, Trino, Snowflake, Databricks, Denodo, CI/CD, Docker, Kubernetes, Cloud Platforms, Data Security, Performance Tuning

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will play a critical part in a large-scale data modernization initiative aimed at enhancing service delivery for U.S. Veterans. Your expertise will drive the design and optimization of secure, high-performance data access across complex enterprise systems. You will work hands-on with state-of-the-art data platforms, facilitating data federation and analytics in hybrid and multi-cloud environments. Collaboration is key, as you will engage with cross-functional teams to ensure data strategies meet organizational requirements. Your contributions will lead to improved decision-making and operational efficiency at a national scale. \n Accountabilities Design, build, and optimize distributed query solutions using Starburst Enterprise Platform (SEP) and Trino. Enable secure and governed access to data across multiple sources including cloud platforms and data lakes. Implement and enhance data federation, performance tuning, and query optimization strategies. Support identity and access management (IAM) and data governance requirements. Develop and maintain backend services, APIs, and platform components. Contribute to CI/CD pipelines, observability, and platform reliability initiatives. Collaborate with product, UX, security, and infrastructure teams. Troubleshoot performance issues in distributed and cloud-native environments. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s preferred). Ability to obtain and maintain a Public Trust clearance. Hands-on experience with Starburst Enterprise Platform (SEP) or significant experience with Trino/Presto. 8+ years of experience with modern data platforms like Snowflake, Databricks, or Denodo. Strong SQL skills and experience in distributed query performance optimization. Experience integrating data across cloud and on-premises environments. Knowledge of authentication, authorization frameworks, and data security best practices. Experience with CI/CD tools, containerization (Docker/Kubernetes), and infrastructure automation. Familiarity with cloud platforms (Azure experience strongly preferred). Strong communication and collaboration skills. Benefits Opportunity to support high-visibility federal missions. Culture that values innovation, growth, and collaboration. Access to cutting-edge tools and technologies. Comprehensive benefits for you and your family. Career path that rewards ambition and performance. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Design, build, and optimize distributed query solutions using Starburst Enterprise Platform and Trino. Collaborate with cross-functional teams to ensure data strategies meet organizational requirements.