What does a Data Engineer do?

Data engineers are mainly tasked with transforming data into a format that can be easily analyzed. They do this by developing, maintaining, and testing infrastructures for data generation. Data engineers work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs.

Data engineers generally have a bachelor's degree in computer science, information technology, or applied math, as well as a few data engineering certifications like IBM Certified Data Engineer or Google's Certified Professional. In addition, data engineers possess a plethora of technical skills and the ability to approach problems in a creative manner.

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
EducationBachelor's Degree
Work/Life Balance
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Salary Range--
Career Opportunity
0.0 ★
Avg. Experience2-4 years

Data Engineer Salaries

Average Base Pay

$112,493 /yr
Same as national average
Not including cash compensation
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$76K
Median: $112K
$166K
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Glassdoor Estimated Salary

Data Engineer Career Path

Learn how to become a Data Engineer, what skills and education you need to succeed, and what level of pay to expect at each step on your career path.

L2
Data Engineer
$112,493/yr
L3
L4
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Data Engineer Insights

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Data Engineer Interviews

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Data Engineer Jobs

Frequently asked questions about the roles and responsibilities of a data engineer

When working as a data engineer, the most common skills you will need to perform your job and for career success are Hadoop SPARK, Azure Data, SQL Server, Big Data, and Python.

The most similar professions to data engineer are:
  • SQL Developer
  • Data Warehouse Architect
  • Database Administrator
  • Database Architect

The most common qualifications to become a data engineer include a minimum of a Bachelor's Degree and an average of 0 - 1 years of experience not including years spent in education and/or training.