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Job not on LinkedIn
🔥 3 hours ago
Job not on LinkedIn
Senior Data Engineer on the Data Access team at Human Interest, building scalable data infrastructure for AI consumption. Leading development of reliable data pipelines and governance standards for fintech products.
🇺🇸 United States – Remote
💵 $171k - $207k / year
💰 $200M Series D on 2021-08
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
AWS
Cloud
Python
Terraform
Job not on LinkedIn
🕒 2 days ago
Job not on LinkedIn
Lead Data Engineer handling cloud data warehouse administration for Fortune Brands Innovations. Designing scalable, reliable, & secure data architectures, utilizing Git for version control.
Amazon Redshift
BigQuery
Cloud
ERP
ETL
Oracle
Python
SQL
Unix
Job not on LinkedIn
🔥 10 hours ago
Job not on LinkedIn
Senior Data Engineer maintaining core data infrastructure for a key client account. Hands-on development in SQL and Python within modern cloud environments for enterprise value delivery.
🤠 Texas – Remote
💵 $145k - $200k / year
💰 $100k Pre Seed Round on 2019-08
⏰ Full Time
🟠 Senior
🚰 Data Engineer
AWS
Cloud
ETL
Google Cloud Platform
Python
SQL
🔥 16 hours ago
Senior Data Engineer responsible for building and maintaining data systems in healthcare. Collaborating with cross-functional teams to enhance data accessibility and quality.
AWS
Azure
Cloud
Google Cloud Platform
PySpark
Python
🔥 18 hours ago
Lead Data Engineer designing and building scalable data solutions to support enterprise analytics and AI/ML. Architecting pipelines with industry-standard tools to ensure compliance and promote self-service analytics.
Azure
PySpark
SQL
Tableau
Terraform
🔥 19 hours ago
Senior Data Engineer at Instructure leading development and scaling of data infrastructure. Transforming raw data into authoritative sources and building high-performance data pipelines.
🐊 Florida – Remote
💰 Private Equity Round - Instructure on 2024-07
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
AWS
Cloud
ETL
PySpark
Python
Spark
SQL
Job not on LinkedIn
🔥 20 hours ago
Job not on LinkedIn
51 - 200
Senior Data Engineer designing and optimizing large-scale data pipelines and architectures using Azure and Databricks. Joining a global engineering network within the IT services sector.
Azure
Cloud
ETL
SQL
Terraform
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Building data platforms for AI products used by Fortune 500 companies. Transforming market research documents into intelligent systems for decision-making.
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Kotlin
Python
Rust
Terraform
TypeScript
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Senior Data Engineer designing data pipelines and processing for a remote workforce in innovative digital experiences. Collaborating with global teams to deliver high-quality solutions.
Airflow
AWS
Python
Ruby
Ruby on Rails
Scala
Terraform
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Lead Data Engineer creating Microsoft data solutions for Wolverine Worldwide. Mentoring junior engineers and leading data warehousing projects.
Azure
Cloud
Python
SQL
🕒 Yesterday
Staff Data Scientist leading design and development of scalable ML systems at Toast. Collaborating across teams to drive measurable business outcomes and enhance customer experience.
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Data Engineer developing pipelines and infrastructure in support of Red Hat’s Customer Data Platform. Collaborating across teams and utilizing technologies like SQL, Python, and AWS data lakes.
🌲 North Carolina – Remote
💵 $137.7k - $203.1k / year
💰 Corporate Round on 1999-03
⏰ Full Time
🔴 Lead
🚰 Data Engineer
🦅 H1B Visa Sponsor
AWS
ETL
Python
SQL
🕒 Yesterday
51 - 200
Senior Data Engineer handling data engineering responsibilities at PetroApp. Involves designing scalable data pipelines and providing technical mentorship.
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
ERP
ETL
Google Cloud Platform
Kafka
Python
Spark
SQL
Tableau
🕒 2 days ago
Senior Data Engineer building high-performance data infrastructure for regulatory reporting at DraftKings. Collaborating with cross-functional teams to enhance data quality and support business operations.
AWS
Cloud
ETL
Kafka
Python
SQL
Terraform
Job not on LinkedIn
🕒 2 days ago
Job not on LinkedIn
Staff Data Engineer responsible for financial data operations at Root Insurance. Collaborating with Finance and Engineering to ensure effective financial workflows and data reliability.
🇺🇸 United States – Remote
💵 $168.6k - $215k / year
💰 $200M Post IPO debt on 2024-11
⏰ Full Time
🔴 Lead
🚰 Data Engineer
AWS
Cloud
Python
Spark
SQL
Terraform
🕒 2 days ago
Senior Data Engineer building scalable data infrastructure for financial operations at DraftKings. Collaborating across teams to develop data solutions and enhance regulatory reporting capabilities.
AWS
Cloud
ETL
Kafka
Python
SQL
Terraform
🕒 2 days ago
Data Engineer designing and building scalable cloud-based data solutions and managing data pipelines at Mondelēz International. Ensuring data quality and collaboration across data teams.
Airflow
BigQuery
Cloud
ETL
Google Cloud Platform
Postgres
Python
SQL
Tableau
🕒 2 days ago
Data Engineer designing and building scalable cloud-based data solutions and managing data pipelines at Mondelēz International. Ensuring data quality and collaboration across data teams.
Airflow
BigQuery
Cloud
ETL
Google Cloud Platform
Postgres
Python
SQL
Tableau
+420 More Staff Data Engineer Jobs Available!
The average salary for remote staff data engineers is $185,014 per year. This is based on data from 200 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 |
|---|---|---|
🟠 Senior Staff Data Engineer (5-9 yrs) | 21 | $189,307 |
🔴 Lead Staff Data Engineer (10+ yrs) | 179 | $184,511 |
We analyzed 143 job listings in the last year and found it takes about 60 days for employers to close a job opening.
We reviewed 200 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 data modeling and ETL processes, and proficiency in big data technologies such as Hadoop, Spark, and Kafka. Problem-solving, analytical skills, and familiarity with cloud platforms are also important.
Typically, a degree in computer science, information technology, or a related field is required. Significant experience in data engineering and architecture is crucial, along with a robust portfolio showcasing your projects and tools used. Certifications in relevant technologies can enhance your profile.
Responsibilities include designing and building scalable data pipelines, ensuring data quality and integrity, collaborating with data scientists and analysts, optimizing data storage, and implementing data governance practices. You will also be involved in performance tuning and troubleshooting data-related issues.
Benefits include flexible work environments, the ability to work from anywhere, reduced commute, and opportunities for global collaboration. Remote work often leads to better work-life balance, access to a broader job market, and potential cost savings.
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.
