North Carolina, United States
This position is based in North Carolina and operates under a hybrid work model.
We are a Growth Metrics high-performing Data and Analytics team on a mission to embed AI into every layer of our decision-making. By demonstrating machine learning, large language models (LLMs), and automation, we're redefining how data powers innovation and efficiency at scale. Our team is a specialized in driving data architecture and strategic business outcomes. We serve as the backbone for critical initiatives across CX, Finance, and GTM, ensuring our data infrastructure is both scalable and high performing. Our culture is collaborative and fast-paced, where we prioritize technical excellence and continuous growth. We are particularly excited about integrating cutting-edge AI and machine learning capabilities into our data workflows to solve complex business challenges.
As a Senior Data Engineer, you will design, build, and oversees the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately, and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data and to maintain, defend, and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
Data Engineering & Architecture: Design and implement scalable data architectures to store, process, and analyze high-volume datasets. Manage the development of robust data pipelines, improve feature engineering, and apply deep knowledge of databases, cloud services, and scripting languages to build innovative models.
Quality, Security, & Compliance: Maintain high data quality through rigorous validation, scrubbing, and imputation techniques. Write clean, functional code with unit tests, conduct thorough code reviews to identify risks, contribute to feature threat modeling, and ensure adherence to data compliance and security standards.
Collaboration & Business Impact: Partner with data scientists and business stakeholders to articulate and resolve complex problems. Design reporting and visualization tools that communicate actionable insights and link data outcomes directly to business goals.
Project Leadership & Strategy: Lead moderately complex, end-to-end projects and drive technical analysis from initial design through completion. Recommend optimal data sources, methodologies, and analytics tools to address evolving business needs.
Bachelor's in Computer Science, Data Engineering, AI/ML, Data Science, or equivalent 8+ years of related development experience, or Master's with 5+ years.
4+ years hands on Data engineering experience on Snowflake, Snowflake Intelligence/Co-work, DBT, Query optimization and performance, Data modeling and schema design, Incremental processing and pipelines, Data quality and validation, Optimize database query performance, Warehouse architecture and scaling, Cost optimization strategies, ETL/ELT tooling and orchestration.
Design and implement complex AI agent orchestration systems using Lang Graph and Lang Chain for enterprise-scale automation.
Proficiency in programming languages commonly used in data engineering (e.g., SQL(Snowflake), Teradata, Sophisticated Python, Java, Scala, etc.).
Demonstrated expertise in designing and maintaining complex data architectures and pipelines.
Proven experience in data engineering, specifically with cloud-based storage and distributed structures.
Experience managing data validation, scrubbing, and correlation methodologies for large-scale datasets.
Experience applying AI and machine learning techniques to data engineering problems.
Hands-on experience in developing and deploying AI/ML solutions in enterprise production environments.
Experience with large language models (LLMs), transformer architectures, and advanced AI frameworks
Advanced degree in AI/ML, Computer Science, or related technical field
Deep knowledge of vector databases, retrieval-augmented generation (RAG), and semantic search systems.
Expertise in generative AI, prompt engineering, and model fine-tuning techniques
Experience with responsible AI practices, model governance, and enterprise AI ethics frameworks
Experience with multi-agent AI and MLOps tools like Kubeflow.
Strong analytical skills with the ability to identify patterns and determine appropriate problem-solving approaches.
Excellent communication skills, with the ability to collaborate effectively across global teams and business units.
Experience in threat modeling and ensuring data security and privacy compliance within data pipelines
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and
Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$167,700.00 - $282,000.00Non-Metro New York state & Washington state:
$149,100.00 - $250,900.00* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
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Hybrid
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