The PathMatch Guide to

Data Engineering

A Day in the Life

Businesses are hungrier than ever to hire Data Engineers. Between mid-2018 and mid-2019, demand for Data Engineers grew by $88.3% and this growth is just the beginning.

Why? Because there's more data created daily than ever before. Data is powerful, but only if you can do something with it. Data Engineers create the data pipelines so Data Scientists can pull valuable insights from the data. Your work drives key product and business decisions.

Work Responsibilities

  • Design, develop and operate high-performance, large-volume data structures for data-powered products and data science
  • Implement efficient, distributed, and scalable pipelines and integrate data from multiple sources to common data models
  • Collaborate with Product Managers, Software Engineers, and Data Scientists
  • Implement design patterns that support data ingestion, data movement, transformation, aggregation, and much more
  • Build and automate Machine Learning workflows for experimentation tracking, model performance, and operationalization

Skills You'll Need

  • Data Modeling
  • Data Warehousing
  • Managing Tables
  • ETL (Extract Transformation Loading)
  • Expert in writing highly-optimized complex SQL queries across large datasets
  • Scripting, Reporting, and Data Visualization
  • Conceptual Understanding of Machine Learning
  • Experience with big data technologies such as Spark, Databricks, Hive, etc.
  • Experience in core languages such as Python, Scala, or Java
  • Experience with big data design patterns and distributed computing tools/frameworks
  • Proven expertise building big data pipelines (batch processing, real-time streaming)
  • Understanding of data architectures and principles
  • Knowledge of data security and authentication protocols
  • AWS
  • Hadoop
  • Kafka
  • NoSQL
  • Redshift
  • Azure

Industries You'll Work In

Tech

The Network You'd Build

Here are a few real-word examples of jobs and people working in this industry right now.

Example Job Descriptions

Data Engineer at WeWork

Data Engineer at Anheuser-Busch

Data Engineer at Conde Naste

Director of Growth Data Engineering at Netflix

Real World Professionals

Data Engineer at Ring

Senior Data Engineer at KPMG US

Senior Data Engineer at FanDuel

Director, Data Engineering at ZEFR

Director, Data Engineering at Facebook

Director, Head of Data Science and Engineering at Dropbox

Growth Path

  1. Data Engineer
  2. SENIOR DATA ENGINEER
  3. DATA ENGINEERING MANAGER
  4. DIRECTOR OF DATA ENGINEERING
10
/10

Demand for Talent

  • Current Demand: FIRE!!!
  • Projected Growth: MASSIVE!!!!
  • The Dice 2020 Tech Job Report said Data Engineer was the fastest growing job in technology with a 50% year-over-year growth in the number of open positions
  • Demand for Data Engineers has outstripped supply since around 2016

Compensation

$90K - $140K
Data Engineer
$100K - $200K
SENIOR DATA ENGINEER
$110K - $220K
DATA ENGINEERING MANAGER
$120K - $280K+
DIRECTOR OF DATA ENGINEERING

Teams You'll Work With

Data Engineering works with data science, engineering, and product management teams.

9
/10

Work/Life Balance Score

Work/life balance is when someone equally prioritizes their career and their personal life. This balance can vary greatly from one career to the next.

10
/10

Job Stability Score

Job stability is about more than your experience and career. As industries decline, so do the jobs in them.

9
/10

Prestige Score

Job stability is about more than your experience and career. As industries decline, so do the jobs in them.

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