Lead Full Stack Engineer -AI Data Engineer Location - Cary NC (Hybrid) Key Responsibilities: • Hands on development and setup of data pipelines, databases, and data sources to build Client and AI ...
Lead Full Stack Engineer -AI Data Engineer Location - Cary NC (Hybrid) Key Responsibilities: • Hands on development and setup of data pipelines, databases, and data sources to build Client and AI ...
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The Role We are seeking a highly skilled Full Stack Developer to help design and build a state of the art data analytics platform within the financial services domain. In this role, you will work ...
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Durham, NC · On-site
Job Summary We are seeking an experienced Senior Full Stack Engineer to join a high-performing team focused on building scalable, user-centric applications. This role involves hands-on development ...
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Qualifications The right person for the position will be a combination of Data Analyst and Web Developer with the following skills: * Full stack web development * ELK Stack - Elastic, Logstash and ...
Full Stack Data Engineer information
See Raleigh, NC salary details
$43.3K - $56.2K
1% of jobs
$56.2K - $69.1K
3% of jobs
$69.1K - $82K
4% of jobs
$82K - $94.9K
5% of jobs
$94.9K - $107.8K
11% of jobs
$108.5K is the 25th percentile. Wages below this are outliers.
$107.8K - $120.7K
15% of jobs
The median wage is $129.1K / yr.
$120.7K - $133.6K
17% of jobs
$133.6K - $146.5K
17% of jobs
$148.9K is the 75th percentile. Wages above this are outliers.
$146.5K - $159.4K
13% of jobs
$159.4K - $172.3K
9% of jobs
$172.3K - $185.2K
5% of jobs
$43.3K
$131K
$185.2K
How much do full stack data engineer jobs pay per year?
What is the difference between Full Stack Data Engineer vs Data Scientist?
| Aspect | Full Stack Data Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, Data Engineering certifications | Bachelor's/Master's in CS, Data Science or related fields |
| Work Environment | Build data pipelines, manage databases, develop APIs | Analyze data, create models, generate insights |
| Industry Usage | Tech, finance, healthcare, where data infrastructure is key | Research, analytics, product development teams |
Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.
What are the key skills and qualifications needed to thrive as a Full Stack Data Engineer, and why are they important?
How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?
What is a Full Stack Data Engineer?
Job description
Lead Full Stack Engineer -AI Data Engineer
Location - Cary NC (Hybrid)
Key Responsibilities:
• Hands on development and setup of data pipelines, databases, and data sources to build Client and AI apps.
• Develop architecture and solution designs to deliver capabilities and features.
• Develop iterative plans and strategies. Estimate as part of release plan and iteration planning
• Mentor, motivate, influence, drive innovation, and coach broader technical team. Provide technical and solution guidance to the team. Conduct design and code reviews for the team delivery.
• Oversight of junior developer and vendor development work
• Key participant in user story breakdowns, user story elaboration, and user story reviews
• Help drive broader understanding of AI tools and technologies
• Serve as an escalation point for deployments, and change oversight, enabling highly visible business priorities.
• Responsible for developing and maintaining SRE runbooks, and being available to diagnose and resolve production issues.
Required Experience
• 8+ years hands on development of realtime and batch data pipelines.
• Data pipeline development using ETL tools to collect, process and transform raw data
• Database setup on Azure or AWS for structured and unstructured data- PostgreSQL, MongoDB, CosmosDB, etc.
• Use of tools to store, process, and retrieve data - Hadoop, Spark, Kafka, API's, data lakes
• Expertise in programming languages and libraries - Python, Scala, PyTorch, NumPy, Pandas
• 5+ years hands on DevOps skills. Prefer Azure DevOps otherwise similar alternate technologies is a must.
• Hands on experimentation with prompt engineering, semantic search and GenAI
• Advanced knowledge of the principles in software engineering.
• 10+ years related work experience successfully delivered on large, complex projects with demonstrated technical leadership in delivery.
Preferred Experience
• BS/MS in Comp Science/IS.
• Development of Semantic search using vector databases or similar solutions
• Experience in structuring and creating training datasets for GenAI
• Experience working in cross-functional, multi-location teams.
Experience in SAFe, Agile methodology, tools, and Agile integration with Waterfall.
About Info Way Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Fremont, CA, US
Year founded
2012