Data Engineer II

Comcast

Confirmed live today High trust

Quick summary

Work type
On-site
Location
PAMAFLIL
Salary
$79,728–$132,880 / yr
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $106k
$65k most similar roles pay here $213k

This role pays less than 92% of similar roles. Most pay $126,800–$198,900 — the shaded band above. At the midpoint, this role pays about $106k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Comcast

Comcast is an American telecommunications and media conglomerate, providing cable TV, internet, and phone services under the Xfinity brand, and owning NBCUniversal.

Comcast currently has 73 open roles on FindRole.

Listed pay typically runs $141,850–$200,000 across 63 roles with salary data.

Most-posted roles

View all roles at Comcast

At a glance

TL;DR · Data Engineer II

As a Data Engineer 2, you will join the team to architect, design, and build high-performance, scalable data pipelines for large-scale processing needs. You will develop complex Big Data ETL workflows using Databricks Delta Live Tables while implementing robust data lake architectures featuring open table formats like Delta Lake and Apache Iceberg. Your daily responsibilities include managing observability, ensuring data quality through test-driven development, and building advanced semantic layers to support customer-facing self-service analytics. The role requires proficiency in Python, PySpark, and SQL, with experience in AWS cloud architecture, Snowflake, and Databricks. You will solve technical challenges within the ad tech domain, specifically managing large-scale batch ETL systems and data warehouse modeling to provide reliable insights for a high volume of users across various media platforms and advertising channels.

What does a Data Engineer earn?

Median $162000 from 188 postings across 59 companies.

See salary data

What you'll do

  • Architect, design, and build high-performance, scalable data pipelines for large-scale processing.
  • Develop complex Big Data ETL workflows using modern frameworks like Databricks Delta Live Tables.
  • Design and implement robust data lake architectures using open table formats like Delta Lake and Apache Iceberg.
  • Implement observability and monitoring across pipelines, including data cataloging, lineage, and metadata management.
  • Create unit and integration tests following test-driven development principles to ensure code quality.
  • Build advanced semantic layers to support customer-facing self-service analytics solutions.
  • Produce high-quality technical documentation including data flows, lineage diagrams, and architecture details.
  • Own critical components of large-scale batch ETL systems and communicate design decisions to stakeholders.

What we're looking for

  • Minimum 2 years of experience in Data Engineering.
  • Proficiency in Python, PySpark, and SQL.
  • Understanding of cloud-based architectures, specifically AWS.
  • Knowledge of data warehouse modeling paradigms.
  • Hands-on experience in Databricks and/or Snowflake (preferred).
  • Bachelor's degree or equivalent combination of coursework and professional experience.
  • AWS Certified Developer Associate, Databricks Certified Data Engineer Associate, or SnowPro Advanced: Data Engineer certifications (preferred).
  • Strong problem-solving skills.

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