🔥 8 hours ago
Vice President leading data strategy, architecture, and engineering for PICTON Investments, a Canadian alternative investment manager. Building financial data platforms supporting portfolios, analytics, risk, and AI.
Cloud
SQL
🕒 Yesterday
Director of Data Engineering leading scalable, governed data platforms for OnTrac’s same-day and next-day U.S. delivery services. Overseeing pipelines, AI-ready data products, budgets, and engineering teams.
BigQuery
Cloud
ETL
Google Cloud Platform
Oracle
Python
SQL
🕒 Yesterday
Engenheiro de Dados transformando dados em informações estratégicas no Sicredi, instituição financeira cooperativa. Garantia da qualidade, segurança, escalabilidade e documentação da plataforma de dados.
🗣️🇧🇷🇵🇹 Portuguese Required
ETL
Hadoop
Java
Kafka
MongoDB
MySQL
Oracle
Python
Scala
Spark
SQL
🕒 Yesterday
Engenheiro de dados desenvolvendo pipelines, esquemas analíticos e governança na GFT. Otimizando integrações, workflows Airflow/dbt e soluções para decisões de negócio.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Cloud
Pandas
Python
SQL
🕒 Yesterday
Principal Data Engineering Consultant designing Azure and Databricks data platforms for Advancing Analytics, a Big Data and AI consultancy. Delivering end-to-end solutions across client projects.
🇬🇧 United Kingdom – Remote
💵 £90k - £110k / year
⏰ Full Time
🔴 Lead
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
👻 Ghost score 6%
Apache
Azure
Cloud
ETL
Python
SDLC
Spark
SQL
Terraform
Unity
🕒 Yesterday
Senior Data Engineer building SQL, Snowflake, dbt, and Python data pipelines for Kunai’s fintech technology solutions. Supporting scalable data models, analytics, and business intelligence.
ETL
Python
SQL
🕒 Yesterday
Cloud Data Engineering Lead building secure Databricks and AWS platforms for IRS initiatives. Leading governance, tenant onboarding, architecture, and federal compliance.
AWS
Azure
Cloud
Kafka
PySpark
Python
Splunk
SQL
Terraform
Unity
🕒 Yesterday
Cloud Data Engineering Lead supporting IRS data platforms with Databricks and AWS. Leading secure tenant onboarding, governance, architecture, and federal compliance.
AWS
Azure
Cloud
Kafka
PySpark
Python
Splunk
SQL
Terraform
Unity
🕒 Yesterday
Data engineering manager leading ETL, data products, and delivery systems for Natera’s precision-medicine and genomics testing business. Supporting laboratory operations and clinical teams with reliable data infrastructure.
🇺🇸 United States – Remote
💵 $127.2k - $159k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏭 Production Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
AWS
ETL
Python
SQL
Tableau
🕒 Yesterday
Senior Data Engineer building scalable Azure data pipelines for Redcare Pharmacy, Europe’s leading e-pharmacy. Enabling healthcare Data & AI initiatives through modern cloud data platforms.
Airflow
Apache
AWS
Azure
Cassandra
Cloud
Docker
ETL
Google Cloud Platform
HBase
Kubernetes
NoSQL
Oracle
Postgres
Python
Spark
SQL
🕒 Yesterday
Senior Data Engineer building scalable pipelines and warehouses for MWDN’s ad-tech business intelligence client. Processing SSP, DSP, GAM, CRM, and ad-server data for real-time campaign analytics.
Airflow
Amazon Redshift
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Python
Scala
Spark
SQL
🕒 Yesterday
Senior Data Engineer building scalable pipelines and warehouses for ad-tech business intelligence. Powering real-time campaign analytics from SSP, DSP, ad server, and CRM data.
Airflow
Amazon Redshift
Apache
AWS
BigQuery
ETL
Google Cloud Platform
Kubernetes
Python
Scala
Spark
SQL
Terraform
🕒 Yesterday
Senior Data Engineer building scalable pipelines and warehouses for MWDN’s ad-tech business intelligence projects. Processing billions of advertising events for real-time campaign analytics and optimization.
Airflow
Amazon Redshift
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Python
Scala
Spark
SQL
🕒 Yesterday
Senior Data Engineer building scalable AdTech pipelines and warehouses for MWDN’s business intelligence clients. Processing massive advertising datasets to power real-time analytics and campaign optimization.
Airflow
Amazon Redshift
Apache
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kubernetes
Python
Spark
SQL
Terraform
🕒 Yesterday
Senior Data Engineer building scalable ad-tech data pipelines and warehouses for MWDN, a global IT outstaffing company. Powering real-time analytics, campaign optimization, and business intelligence dashboards.
Airflow
Amazon Redshift
Apache
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kubernetes
Python
Scala
Spark
SQL
Terraform
🕒 Yesterday
Senior Data Engineer building scalable pipelines and warehouses for MWDN’s ad-tech business intelligence projects. Processing SSP, DSP, and ad-server data to power real-time campaign analytics.
Airflow
Amazon Redshift
Apache
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kubernetes
Python
Scala
Spark
SQL
Terraform
🕒 Yesterday
Senior Data Engineer building scalable pipelines for MWDN’s ad-tech business intelligence platform. Processing SSP, DSP, ad-server, and CRM data for campaign optimization and analytics.
Airflow
Amazon Redshift
Apache
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kubernetes
Python
Spark
SQL
Terraform
🕒 Yesterday
Senior Data Engineer scaling ad-tech pipelines and warehouses for MWDN's global IT outstaffing clients. Powering real-time advertising analytics, campaign optimization, and business intelligence dashboards.
Airflow
Amazon Redshift
AWS
BigQuery
ETL
Google Cloud Platform
Python
Scala
Spark
SQL
🕒 Yesterday
Senior Data Engineer building scalable pipelines and warehouses for ad-tech analytics. Powering campaign optimization and business intelligence through massive advertising datasets.
Airflow
Amazon Redshift
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Python
Scala
Spark
SQL
🕒 Yesterday
Senior Data Engineer building scalable pipelines and warehouses for MWDN’s ad-tech business intelligence projects. Processing massive SSP, DSP, ad server, and CRM datasets for real-time analytics.
Airflow
Amazon Redshift
Apache
AWS
BigQuery
Cloud
ETL
Google Cloud Platform
Kubernetes
Python
Scala
Spark
SQL
Terraform
+1,034 More Data Engineering Jobs Available!

The average salary for remote data engineering is $178,039 per year. This is based on data from 564 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 |
|---|---|---|
⚪️ Entry-level Data Engineering (0 yrs) | 18 | $65,250 |
🟢 Junior Data Engineering (1-2 yrs) | 11 | $157,883 |
🟡 Mid-level Data Engineering (2-4 yrs) | 145 | $165,643 |
🟠 Senior Data Engineering (5-9 yrs) | 285 | $179,204 |
🔴 Lead Data Engineering (10+ yrs) | 105 | $213,444 |
We analyzed 418 job listings in the last year and found it takes about 49 days for employers to close a job opening.
We reviewed 564 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in languages such as Python, Java, or Scala, proficiency in SQL, knowledge of data warehousing and ETL processes, and familiarity with big data technologies like Hadoop and Spark. Strong analytical, problem-solving, and communication skills are also crucial for remote work.
Typically, a degree in computer science, information technology, or a related field is required. However, practical experience, a solid portfolio of data projects, and familiarity with cloud platforms like AWS or Azure can be equally important. Certifications in data engineering or related technologies may enhance your qualifications.
Responsibilities include designing and constructing scalable data pipelines, managing data storage solutions, ensuring data quality and integrity, collaborating with data scientists and analysts, and optimizing data processing workflows. You will also need to monitor system performance and troubleshoot issues as they arise.
Benefits include flexible work hours, the ability to work from anywhere, reduced commuting times, and improved work-life balance. Remote data engineering roles also provide opportunities to work with cutting-edge technologies and collaborate with diverse teams globally.
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.
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