Meet the Team
We are seeking a highly skilled and analytical Data Engineer to join our core data platform team. In this role, you will play a pivotal role in designing, building, and maintaining the scalable data platforms that power our business intelligence and analytical initiatives. You will work closely with data scientists, analysts, and product managers to ensure the reliability, quality, and accessibility of our data assets. If you are a self-starter who thrives in complex environments and is passionate about building robust data infrastructure that supports data-driven decision-making across the organization, we would love to have you join us.
Your Impact
As a Data Engineer, you will manage the administration, security, governance, and operational health of enterprise data platforms. You will ensure platform reliability, performance, scalability, and compliance through monitoring, access management, incident response, upgrades, and lifecycle management. You will also drive platform optimization, automation, migration initiatives, and operational best practices while collaborating with stakeholders to support business needs and continuous improvement.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
- Minimum of 5 years of professional experience in data engineering, data warehousing, or a closely related technical role.
- Advanced proficiency in Python, with a proven track record of building complex data processing applications and automation scripts.
- Expert-level experience with DBT, including the ability to architect modular, testable, and documented transformation logic.
- Deep expertise in SQL and extensive experience working with modern cloud data warehouses (e.g., Snowflake, BigQuery, or Redshift).
Preferred Qualifications
- Strong understanding of data modeling concepts, including dimensional modeling, star schemas, and data vault methodologies.
- Experience with orchestration tools (e.g., Airflow, Prefect, or Dagster) to manage complex dependency graphs.
- Solid understanding of CI/CD pipelines, Git version control, and infrastructure-as-code principles.
- Familiarity with modern DataOps practices, including data observability tools (e.g., Monte Carlo, Great Expectations) and FinOps principles for cloud cost optimization.
- Exposure to or interest in preparing data infrastructure for AI/GenAI applications and working with vector databases.
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.
Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $167,700.00 to $245,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.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.
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
- At least 5 years of professional experience in data engineering, data warehousing, or a closely related technical role.
- Advanced proficiency in Python, including building complex data processing applications and automation scripts.
- Expert-level experience with DBT, including architecting modular, testable, and documented transformation logic.
- Deep expertise in SQL and extensive experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Understanding of data modeling concepts, including dimensional modeling, star schemas, and data vault methodologies.
- Experience with orchestration tools such as Airflow, Prefect, or Dagster.
- Understanding of CI/CD pipelines, Git version control, and infrastructure-as-code principles.
- Familiarity with DataOps practices, data observability tools such as Monte Carlo or Great Expectations, and FinOps principles.
- Exposure to or interest in preparing data infrastructure for AI or GenAI applications and working with vector databases.
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
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Leave & Time Off Breadth — Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
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Parental & Family Support — Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.
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