Is on LinkedIn?
🔥 1 hour ago
Senior Data Engineer architecting data pipelines and platforms for AI workflows in a flexible and innovative environment. Collaborating with teams and ensuring reliability of data solutions at Satalia.
Apache
AWS
Cloud
Docker
Google Cloud Platform
Java
Kafka
MySQL
Neo4j
Postgres
Python
Scala
Spark
Terraform
🔥 8 hours ago
Staff Software Engineer providing technical guidance and mentoring for innovative solutions at Workiva. Leading initiatives to improve code quality and team collaboration on complex projects.
Cloud
Distributed Systems
Java
JavaScript
Python
Go
🔥 15 hours ago
11 - 50
Senior Data Engineer designing and building cloud-native data platforms at Simple Machines. Leading architecture design and influencing data solutions for clients with actionable insights.
Airflow
AWS
BigQuery
Cassandra
Cloud
Google Cloud Platform
Kafka
MongoDB
NoSQL
Postgres
Python
Spark
SQL
Terraform
Job not on LinkedIn
🔥 16 hours ago
Job not on LinkedIn
Principal Engineer leading Sezzle's data infrastructure and database ownership. Overseeing MySQL and Redshift performance while leveraging AWS tools.
🇺🇸 United States – Remote
💵 $300k - $400k / year
⏰ Full Time
🔴 Lead
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
Amazon Redshift
AWS
Distributed Systems
ETL
MySQL
Postgres
SQL
🔥 19 hours ago
Senior Data Engineer at Full Scale managing data infrastructure, pipelines, and integrations for business intelligence. Collaborating with stakeholders to support data-driven decisions.
Airflow
BigQuery
ETL
Google Cloud Platform
SQL
🕒 Yesterday
Lead Data Engineer managing enterprise-level data life cycle processes for L3Harris Technologies. Oversee ETL/ELT pipelines and ensure data governance across the organization.
Azure
ETL
JavaScript
Pandas
PySpark
Python
SDLC
Spark
SQL
SSIS
TypeScript
🕒 Yesterday
Lead Data Engineer at Blend, designing scalable data ingestion architectures. Focused on Snowflake and AWS for enterprise-level data pipelines.
AWS
SQL
Terraform
🕒 Yesterday
Lead Data Engineer at Blend, focusing on Snowflake-based data architectures for enterprise clients. Responsibilities include designing scalable data pipelines and ensuring data quality and governance.
AWS
SQL
Terraform
🕒 Yesterday
Senior Data Engineer at Boldr leading data infrastructure design and optimization for diverse client needs. Utilizing Microsoft Fabric, SQL, and Power BI for advanced analytics solutions.
Cloud
ETL
Java
Python
Scala
SQL
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Senior Data Engineer designing and optimizing databases and ETL systems for Carrington Mortgage Holdings. Collaborating with stakeholders and overseeing the development of automated solutions.
Cloud
ETL
Java
MS SQL Server
Python
SDLC
SQL
SSIS
🕒 Yesterday
Senior Data Engineer at Hack The Box owning and evolving data pipelines on GCP. Collaborating with teams for modern data architecture and ML applications.
🐊 Florida, New Jersey, +3 more states – Remote
💵 $140k - $160k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
Airflow
Amazon Redshift
BigQuery
Cloud
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
Python
Spark
SQL
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Lead Data Engineer building data pipelines and lakehouses for Navanta, collaborating with AI/ML and security teams to ensure data quality and compliance.
Apache
Python
SQL
🕒 2 days ago
Senior Data Engineer for Blend, designing and optimizing data solutions for enterprise initiatives. Collaboration with cross-functional teams to ensure data accuracy and pipeline reliability.
ETL
Python
SQL
🕒 2 days ago
Senior Data Engineer responsible for data pipeline design and development at Blend. Collaborating with teams to ensure data quality and build scalable solutions for analytics.
ETL
Python
SQL
🕒 2 days ago
Senior Data Engineer at Blend creating Snowflake-based governance solutions. Collaborating with teams to ensure data quality, security, and compliance.
Cloud
ETL
Python
SQL
🕒 2 days ago
Senior Data Engineer at Blend implementing Snowflake-based governance solutions. Collaborating with cross-functional teams to enhance data quality and security metrics.
Cloud
ETL
Python
SQL
🕒 2 days ago
Principal Data Scientist at Risepoint, leading AI/ML initiatives to improve student engagement. Overseeing end-to-end project management and collaboration across teams to drive educational outcomes.
Job not on LinkedIn
🕒 2 days ago
Job not on LinkedIn
1001 - 5000
🤝 B2B
🛒 Retail
🛍️ eCommerce
Senior Data Engineer at Sonny's Enterprises overseeing structured data engineering in Databricks. Delivering high-value data products and supporting business requirements for various domains.
ERP
ETL
Python
Spark
SQL
Unity
Job not on LinkedIn
🕒 2 days ago
Job not on LinkedIn
1001 - 5000
🤝 B2B
🛒 Retail
🛍️ eCommerce
Senior Data Engineer at Sonny's Enterprises overseeing structured data engineering in Databricks. Delivering high-value data products and supporting business requirements for various domains.
ERP
ETL
Python
Spark
SQL
Unity
+399 More Principal Data Engineer Jobs Available!
The average salary for remote principal data engineers is $170,578 per year. This is based on data from 113 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟡 Mid-level Principal Data Engineer (2-4 yrs) | 1 | $0 |
🟠 Senior Principal Data Engineer (5-9 yrs) | 8 | $204,908 |
🔴 Lead Principal Data Engineer (10+ yrs) | 104 | $169,578 |
We analyzed 85 job listings in the last year and found it takes about 48 days for employers to close a job opening.
We reviewed 113 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in languages like Python, Java, or Scala, expertise in big data technologies (e.g., Hadoop, Spark), proficiency in data modeling and database management, as well as experience with cloud platforms. Strong analytical and problem-solving skills are also essential.
Typically, a degree in computer science, engineering, or a related field is required. Many employers prefer advanced degrees or significant experience in data engineering. Strong experience and a proven track record of leading data projects are often more important than formal qualifications.
Responsibilities include designing and managing data architecture, building and maintaining data pipelines, ensuring data quality and reliability, collaborating with data scientists and analysts, and leading engineering teams on data projects. You will also need to stay updated on industry trends and best practices.
Benefits include flexible work schedules, the ability to work from any location, higher salaries compared to on-site positions, and the opportunity to work with cutting-edge technologies. Remote work also allows for a diverse work environment and improved work-life balance.
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
