Data Engineer

Cisco

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $165,000–$241,400 / yr
Posted: 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k

This role $203k

$104k most similar roles pay here $256k

This role pays more than 80% of similar roles. Most pay $126,800–$194,872 — the shaded band above. At the midpoint, this role pays about $203k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About Cisco

Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity

Cisco currently has 186 open roles on FindRole.

Listed pay typically runs $165,000–$241,400 across 186 roles with salary data.

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View all roles at Cisco

At a glance

TL;DR · Data Engineer

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As a Senior Data Engineer on our dynamic team, you will lead moderately complex data projects from conception to completion, developing and scaling high-volume data pipelines and architectures to handle large datasets efficiently. Your day-to-day involves collaborating with data scientists and business leaders to translate technical designs into actionable insights, ensuring the integrity of data through automation and feature engineering. You will optimize code quality and pipeline performance while addressing multidimensional security or privacy issues. The role requires a bachelor’s degree plus 7 years of experience in building and managing data pipelines from diverse sources, proficiency in scripting languages and relational databases, and expertise with cloud services and distributed data structures. Ideal candidates also have experience guiding others on database/data lake sources and designing visualizations that link data insights to business outcomes.

Skills

Python SQL AWS Kubernetes Terraform Docker CI/CD Apache Hadoop Apache Spark PostgreSQL BigQuery DataBricks Airflow Snowflake Git Jupyter Notebook Tableau PowerBI REST APIs JSON

What you'll do

Lead moderately complex data projects from technical design to completion.
Develop and scale high-volume data pipelines for large datasets storage and processing.
Build innovative models using feature engineering to solve complex business problems.
Conduct thorough code reviews to optimize the reliability of deliverables.
Monitor pipeline performance to ensure data quality and compliance with security standards.
Collaborate with data scientists and business leaders to translate data into actionable insights.

What we're looking for

Bachelor’s degree with 7+ years of data-related experience or higher academic qualifications with reduced experience.
Experience in building and managing complex data pipelines from various internal and external sources.
Proficiency in scripting languages and relational database management systems.
Expertise in cloud services and distributed data structures for big data handling.
Ability to use big-data techniques for cleansing, organizing, and transforming large datasets.

Data Engineer

Booz Allen Hamilton

San Diego, CA 3 days ago $61,900–$141,000

Python AWS GitHub SQL Linux Terraform Apache Spark AWS EMR Redshift Databricks CloudFormation CI/CD Kubernetes Prometheus Grafana

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