📖 The PathMatch Guide to

Data Engineering

We're still working on this Career Path.
Check back soon!
We're still working on this Career Path.
Check back soon!

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

Growth Path

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

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

Teams You'll Work With

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

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
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.

The future of work is here.

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