Senior Level AI Data Engineer Jobs
Senior level ai data engineer jobs place experienced professionals in charge of data platform architecture, end-to-end pipeline ownership, and the engineering teams that deliver production AI systems. Openings are concentrated across on-site, remote, and hybrid settings in Technology & Software, Investment & Asset Management, and Banking & Financial Services, with employers like JPMorganChase, Citi, and Adobe hiring at this level now.
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We are seeking a highly experienced and motivated AI Data Engineer to join our team. The ideal candidate will play a critical role in designing, building, and optimizing cloud-based data pipelines and AI data platforms that support our enterprise-scale initiatives in an IC customer space. This role demands technical expertise, strategic thinking, and hands-on experience with Oracle-based systems in high-volume environments. If you thrive in a fast-paced, data-driven organization and enjoy solving complex data engineering challenges, we want to hear from you. The ability to obtain and maintain TS/SCI eligibility with poly required.
Required Skills:
- Bachelor’s degree in computer science, Information Systems, Engineering, or related field
- Minimum 8+ years of experience in data engineering, ETL development, or database management and building enterprise-scale mission systems, preferably within the federal sector
- Experience with managing geospatial intelligence data (vectors and rasters)
- Familiarity with Cloud platforms such as Oracle, AWS, Azure, or GCP
- Strong experience with architecting and implementing Oracle Databases
- AI-enabling data using Vector data type, RAG, and MCP
- Strong knowledge of ETL pipeline design (including data transformations) and implementation for large-scale data systems
- Containers/Kubernetes
- Proficiency in shell scripting, Python, or other automation tools
- Familiarity with data governance, metadata management, and data lineage practices
- Ability to work with cross-functional teams including data scientists, DBAs, and business analysts
- Strong verbal and written communication skills for documenting and presenting solutions The ability to obtain and maintain TS/SCI eligibility with poly required
Desired Skills:
- Designing multi-modal databases that integrate multiple data types, including:
- Relational
- Spatial
- JSON
- Graph
- Knowledge of data security best practices and regulatory compliance
- Experience with DevOps and CI/CD pipelines in a data engineering context
- Creating and deploying RESTful APIs; Oracle API Gateway
- Oracle certifications (e.g., Oracle Database Certified Professional or OCI Architect Professional) are a plus
- Experience supporting Intelligence Community (IC)-related agencies Excellent analytical, problem-solving, and innovative thinking skills
Position is located in the Reston, VA area
We are seeking a highly experienced and motivated AI Data Engineer to join our team. The ideal candidate will play a critical role in designing, building, and optimizing cloud-based data pipelines and AI data platforms that support our enterprise-scale initiatives in an IC customer space. This role demands technical expertise, strategic thinking, and hands-on experience with Oracle-based systems in high-volume environments. If you thrive in a fast-paced, data-driven organization and enjoy solving complex data engineering challenges, we want to hear from you. The ability to obtain and maintain TS/SCI eligibility with poly required.
Required Skills:
- Bachelor’s degree in computer science, Information Systems, Engineering, or related field
- Minimum 8+ years of experience in data engineering, ETL development, or database management and building enterprise-scale mission systems, preferably within the federal sector
- Experience with managing geospatial intelligence data (vectors and rasters)
- Familiarity with Cloud platforms such as Oracle, AWS, Azure, or GCP
- Strong experience with architecting and implementing Oracle Databases
- AI-enabling data using Vector data type, RAG, and MCP
- Strong knowledge of ETL pipeline design (including data transformations) and implementation for large-scale data systems
- Containers/Kubernetes
- Proficiency in shell scripting, Python, or other automation tools
- Familiarity with data governance, metadata management, and data lineage practices
- Ability to work with cross-functional teams including data scientists, DBAs, and business analysts
- Strong verbal and written communication skills for documenting and presenting solutions The ability to obtain and maintain TS/SCI eligibility with poly required
Desired Skills:
- Designing multi-modal databases that integrate multiple data types, including:
- Relational
- Spatial
- JSON
- Graph
- Knowledge of data security best practices and regulatory compliance
- Experience with DevOps and CI/CD pipelines in a data engineering context
- Creating and deploying RESTful APIs; Oracle API Gateway
- Oracle certifications (e.g., Oracle Database Certified Professional or OCI Architect Professional) are a plus
- Experience supporting Intelligence Community (IC)-related agencies Excellent analytical, problem-solving, and innovative thinking skills
Position is located in the Reston, VA area
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Find JobsSenior Level AI Data Engineer Job Market
Who's Hiring
- JPMorganChase7
- Citi3
- Adobe3
- Apple3
- Google3
Top Industries Hiring
- Technology & Software67
- Investment & Asset Management19
- Banking & Financial Services18
- Consulting & Professional Services17
- Electronics & Hardware9
Senior Level AI Data Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai data engineer job?
Employers at this level expect candidates who have owned data infrastructure decisions, not just contributed to them. Demonstrating that you have led the design of scalable pipelines, evaluated and selected tooling, mentored junior engineers, and delivered AI-ready data systems in production will set you apart. Strong communication with cross-functional stakeholders is equally important, since senior roles carry organizational accountability alongside technical depth.
Which companies hire senior level ai data engineers?
Companies hiring senior level ai data engineers right now include JPMorganChase, Citi, and Adobe, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix of enterprise technology firms, fast-scaling startups with mature data functions, and large organizations building or expanding their AI capabilities.
Are there remote senior level ai data engineer jobs?
Yes, remote and hybrid work is well established at this level. About 37% of senior level ai data engineer openings are remote or hybrid as of July 2026, reflecting how many organizations treat experienced data engineers as distributed contributors who can lead teams and architecture decisions without being on-site full time.
What makes a ai data engineer role senior level?
Senior roles are defined by ownership rather than execution. A senior ai data engineer sets the architectural direction for data platforms, makes independent decisions on tooling and design tradeoffs, and is accountable for the reliability and scalability of production systems. They also mentor and guide less experienced engineers, contribute to technical strategy, and are expected to operate with limited oversight across complex, ambiguous problems.
Which industries hire the most senior level ai data engineers?
Senior Level ai data engineer roles concentrate in Technology & Software, Investment & Asset Management, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring because they operate at the intersection of large-scale data infrastructure and applied AI, where the cost of poor data architecture is highest and the demand for experienced technical leadership is most acute.