This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to shape and lead the organization’s enterprise data strategy, bridging technical architecture, governance, and team leadership. You will: - Design and maintain robust data pipelines. - Establish a unified enterprise data model. - Enable AI-ready analytics while ensuring data quality and trustworthiness. - Drive impact across multiple functions, including Sales, Marketing, Finance, Delivery, and Product, by providing accurate, actionable insights. - Lead a team of data engineers and analysts. - Mentor stakeholders on data stewardship. - Influence enterprise-wide data governance practices. - Combine hands-on engineering, strategic planning, and cross-functional collaboration in a dynamic, growth-focused environment. - Operate effectively across locations while leading a high-performing data organization. Qualifications - 10+ years of experience in data engineering, including people leadership or functional leadership of data/reporting teams. - 4+ years of hands-on Snowflake expertise, including warehouse design, RBAC, performance tuning, and cost management; Snowflake certification required. - Advanced SQL and proficiency in Python or similar data-oriented languages; experience with dbt, Matillion, Fivetran, Airflow, Prefect, or equivalent tools. - Proven experience leading enterprise reporting, analytics engineering, or data governance initiatives. - Strong knowledge of semantic layers, AI/ML-enabled analytics, and building AI-ready data solutions. - Excellent communication skills with the ability to influence technical and non-technical stakeholders in a matrixed environment. - Preferred: experience in SaaS, education, or services delivery; prior participation in enterprise data strategy or governance councils. Requirements - Architect, build, and maintain scalable ELT/ETL pipelines into Snowflake, ensuring optimized performance, storage, and cost efficiency. - Design enterprise data models, semantic layers, and AI-ready data structures that support reporting, forecasting, and analytics. - Lead and mature the data engineering and reporting team, providing coaching, setting standards, and managing project delivery priorities. - Establish and enforce data governance practices, MDM standards, and data quality controls to ensure consistent, reliable, and trustworthy data. - Partner with cross-functional teams to translate business needs into governed, scalable, and actionable data solutions. - Monitor and optimize pipeline performance, implement automated validation frameworks, and support continuous improvement initiatives. - Drive enterprise adoption of data stewardship, ensuring practical governance practices are embedded into daily workflows. Benefits - Competitive salary range: $135,000–$175,000, based on experience, skills, and internal equity. - Comprehensive health, dental, and vision coverage; 401(k) and paid time off. - Flexible remote work arrangements and professional development opportunities. - Supportive, collaborative environment fostering growth, innovation, and impact. - Opportunity to lead high-visibility initiatives that directly influence organizational success and AI-driven decision-making.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Remitee, a rapidly expanding fintech company specializing in international payments, is seeking a Senior Data Engineer to join its Data Team. We are looking for a highly autonomous builder - someone who can take an ambiguous business problem, design the solution end-to-end, and execute it. This includes data modeling, pipeline development, optimization, and, when necessary, infrastructure setup. This is not a DevOps role. However, we value engineers who are not blocked by infrastructure and can deploy what they need to move forward. Key Responsibilities - Own the end-to-end implementation of data solutions, from problem definition to production deployment. - Design scalable data models and pipelines that support business-critical use cases. - Improve performance, reliability, and cost-efficiency of our Databricks environment. - Lead technical decisions around data architecture and implementation patterns. - Ensure production-grade quality through testing, code review, observability, and monitoring. - Remove blockers independently, including infrastructure setup when necessary. What you’ll build / first 90 days: - Partner with functional teams to clarify requirements and deliver 1–2 high-impact data solutions, running in Databricks and (when needed) cloud services (e.g., functions/jobs). - Review the current data platform (pipelines, tables, costs/performance) and produce a short, actionable improvement plan with clear priorities. - Build and productionize core datasets in Databricks across Bronze/Silver/Gold, including documentation, quality checks, and ownership boundaries. Qualifications - Strong SQL skills (query optimization, partitioning, performance tuning). - Strong Python skills. - Experience building and deploying jobs in Databricks. - Solid understanding of distributed data processing. - Experience working with large datasets. - Ability to independently design and implement end-to-end solutions. - Comfort using Bash and cloud CLIs (AWS/Azure) when needed. Requirements - Infrastructure-as-Code experience (Terraform, ARM, CloudFormation) - Nice to have. - Experience with Docker and CI/CD pipelines - Nice to have. - Experience deploying databases or services in cloud environments - Nice to have. - Experience with NoSQL databases (e.g., MongoDB) - Nice to have. - Understanding of Lakehouse architectures - Nice to have. - Strong system design fundamentals - Nice to have. - Open-source contributions - Nice to have. Company Description Remitee is an international, expanding organization with a vibrant culture that sets us apart. Our work environment is fast-paced and stimulating, offering numerous opportunities for growth and development. If you're a self-starter who thrives in a collaborative and challenging environment, we encourage you to apply. Our company values are fundamental to our daily operations. To succeed here, you'll need to embrace and live our company values: - Build Trust (Integrity and Transparency): Inspire by example, honor your promises, be sincere. - Embrace Diversity (Respect and Empathy): Actively listen and connect with others, value all perspectives. Acknowledge accomplishments, appreciate contributions. - Work in Team (Foster Trust and Collaboration): Create authentic partnerships by offering opportunities and sharing responsibilities. - Focus on Essentials (Be Simple): Make the complex simple by creating effective solutions. Communicate in a clear and easy to understand way. - Be Your Best Self (Excellence): Commit to discipline and perseverance, nurturing both your body and mind. Approach everything you do with passion and purpose.

• Serve as an administrator in Sigma Computing, including managing permissions, access controls, and workspace organization. • Provide daily user support, such as resolving report access issues, helping users understand error messages, and troubleshooting connection or data-source problems. • Participate in an on-call rotation to support the operational reliability. • Assist users with best practices for building reports, organizing content, and using Sigma features effectively. • Conduct demos, training sessions, workshops, and documentation to help teams adopt new features and improve their reporting workflows. • Support onboarding of new users and teams into the BI ecosystem. • Collaborate with analytics, data engineering, and product teams to ensure platform stability and support user needs. • Monitor platform performance, usage patterns, and reliability; escalate or address issues as needed. • Contribute to BI governance efforts, including folder structure, naming conventions, permissions hygiene, and lifecycle management. • Participate in evaluating and rolling out new BI features or enhancements.

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Business Functions, Data Science, Data SolutionsCertifications: NoneExperience: 5 + years of related experienceUS Citizenship Required: No Job Description: Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation. MEANINGFUL WORK AND PERSONAL IMPACT: - Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases - Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data - Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents - Implement data quality, observability, and governance best practices across data pipelines and products - Optimize performance and cost across storage, compute, orchestration, and serving layers - Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Engineer must have: - Education: Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field - Experience: 5+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance - Role requirements: - Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL). - Strong collaboration and communication skills in cross-functional enterprise environments. - Preferred Skills and Abilities: - Master’s degree in Computer Science/Engineering, Data Science, or a related field. Relevant certifications in Data Engineering, AI, or Cloud. - Experience delivering data engineering for agentic AI applications. - Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search). - Familiarity with agent workflows and how agents interact with data services and tools in production. Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS. - Experience in real-time streaming applications or other high-velocity solutions. - Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation. - Location: Remote - US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Flexibility: Full-flex work week to own your priorities at work and at home - Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. The likely salary range for this position is $119,000 - $161,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans