Senior Data Engineer at ONEGLOBE LLC
Washington, District of Columbia, United States -
Full Time


Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Python, SQL, AWS, ETL, Data Migration, Docker, GitLab, CI/CD, PostgreSQL, Data Modeling, Data Quality, Database Operations, Cloud Computing, Data Analysis, Infrastructure

Industry

IT Services and IT Consulting

Description
Description What You'll Get to Do as a Data Engineer: Serve as a technical point of contact for client stakeholders, leading meetings with both internal teams and federal agency counterparts. Maintain version-controlled codebases in GitLab and enforce code review and CI/CD best practices across the data engineering team. Containerize development and deployment workflows using Docker to ensure environment consistency. Develop and maintain comprehensive business rules documentation in Confluence or equivalent knowledge management platforms. Mentor junior data engineers on SQL optimization, migration patterns, and documentation standards. Take responsibility for the delivery of Data Migration for multiple systems: analysis, design, implementation, testing, validation, and acceptance. Assembling large, complex sets of data that meet non-functional and functional business requirements. Communicate with key stakeholders to understand the data migration needs and requirements and troubleshoot data inconsistencies that might arise. Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues. Develop data migration strategies and plans. Develop scripts to extract, transform and load data. Perform data analysis and cleansing activities to ensure data quality, as needed. Troubleshoot and resolve issues related to data migration. Participate in data migration testing including data-level validation and application-level validation. Document data migration processes, procedures, and outcome. Requirements You’ll Bring These Qualifications Must be a US Citizen for DHS Suitability clearance. 5+ years of work experience with a combination of data modeling, ETL, database operations, data services, data analytics, ETL and data migration tools. 5+ years of work experience with coding in one of mainstream programming languages: Python, Java, Node.js etc. Experience with Git/GitLab workflows, including branching strategies, merge requests, and CI/CD pipeline configuration. Experience with Docker or containerized development environments. Familiarity with federal data systems and agency stakeholder dynamics (DHS/FEMA preferred). Experience in design and development of ETL process using AWS ETL tools like AWS DMS, Glue, Athena, AWS Aurora PostgreSQL, etc. Experience in designing data migration solutions, archival processes, and reconciliation. Experience with data quality checks, data de-duplication and data validation processes. Perform data migration audit, reconciliation, and exception reporting. Experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Experience operating production workloads on Oracle/PostgreSQL (preferred) Solid understanding of data elements and their relationships between the source and target systems
Responsibilities
The Senior Data Engineer will lead data migration projects, manage technical stakeholder relationships, and enforce CI/CD and code review best practices. They are responsible for building scalable data infrastructure and mentoring junior team members on SQL optimization and migration strategies.
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