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Job not on LinkedIn
🔥 3 hours ago
Job not on LinkedIn
Senior Data Engineer architecting enterprise data infrastructure for Zealogics Technologies. Modeling multi-source data, building governed pipelines, and optimizing database performance.
Airflow
Apache
AWS
Azure
ETL
MySQL
Postgres
Spark
SQL
Vault
Job not on LinkedIn
🔥 6 hours ago
Job not on LinkedIn
Data Engineer owning data capture, quality, privacy, modeling, and analytics enablement for EULER’s AI-native PRM platform. Building trustworthy datasets across complex partner ecosystems.
Postgres
SQL
Job not on LinkedIn
🔥 8 hours ago
Job not on LinkedIn
Senior Data Engineer building Python and DynamoDB pipelines for Kunai’s financial-services modernization programs. Optimizing scalable storage, processing, governance, and real-time analytics systems.
Apache
AWS
Cassandra
Cloud
DynamoDB
ETL
NoSQL
Python
Spark
🔥 12 hours ago
Data Infrastructure Engineer building AWS lakehouse, metadata governance, and CI/CD platforms for Guidehouse’s AI-led professional services. Enabling trusted data for government and commercial AI/ML analytics.
🇺🇸 United States – Remote
💵 $113k - $188k / year
💰 Grant on 2023-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
AWS
Cloud
Docker
ETL
Java
Jenkins
Python
Scala
SDLC
SQL
Terraform
🔥 12 hours ago
Senior Data Engineer modernizing federal health data for government technology company 540. Building Spark and Databricks pipelines, APIs, and reusable data products for defense and federal health missions.
Apache
AWS
Cloud
ETL
Python
Spark
SQL
🔥 12 hours ago
Data Engineer building scalable Databricks pipelines and APIs for 540’s federal health data modernization initiative. Integrating sensitive datasets into reliable data products for mission-critical government systems.
Apache
ETL
Python
Spark
SQL
Job not on LinkedIn
🔥 12 hours ago
Job not on LinkedIn
Data Engineer developing high-volume pipelines for Ookla’s mobile and fixed internet performance data. Supporting data scientists and analysts through scalable processing tools and lakehouse technologies.
Airflow
Amazon Redshift
AWS
Cloud
Java
MySQL
Python
Scala
Spark
SQL
🔥 15 hours ago
Senior Data Engineer building advertising data pipelines for COOL’s AI-powered ad-tech platform. Scaling Snowflake/AWS infrastructure, attribution analytics, and real-time data processing.
AWS
ETL
Java
JavaScript
Node.js
Job not on LinkedIn
🔥 15 hours ago
Job not on LinkedIn
Senior Data Engineer building and optimizing secure data pipelines for Aspire's technology products. Using Airflow, PySpark, Hive, AWS, Snowflake, HDFS, and SSIS across global teams.
Airflow
Ansible
Apache
AWS
Hadoop
HDFS
MS SQL Server
PySpark
Python
Spark
SQL
SSIS
Vault
🔥 16 hours ago
Data Infrastructure Engineer building scalable open-source data platforms on Amazon EKS. Delivering bespoke, high-risk infrastructure solutions for AWS consulting customers.
AWS
Docker
Kubernetes
Open Source
Spark
Terraform
🔥 19 hours ago
AWS Data Engineer joining Devoteam, a European digital strategy and technology consultancy. Building AWS data solutions with Spark, Python, SQL, Airflow, Docker, and ECS from Spain.
🗣️🇪🇸 Spanish Required
Airflow
Apache
AWS
Docker
Java
Kafka
PySpark
Python
Spark
SQL
🕒 3 days ago
Data Engineer designing SQL Server data models and ETL systems for Analytica’s U.S. government technology programs. Deploying analytics applications and models through CI/CD in agile client teams.
Amazon Redshift
AWS
ETL
MS SQL Server
SQL
🕒 3 days ago
Data Engineer building scalable pipelines and data infrastructure for Hypersonix.ai’s AI-powered e-commerce insights platform. Supporting analytics, machine learning, and real-time business applications through reliable data systems.
Airflow
AWS
Azure
Cloud
Distributed Systems
ETL
Google Cloud Platform
PySpark
Python
Spark
SQL
🕒 3 days ago
Engenheiro de Dados com foco em Databricks na Webjump, líder em soluções de IA, experiências digitais e eCommerce. Reestruturando pipelines, data lakes e integrações com Salesforce Data Cloud.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Azure
Cloud
ETL
PySpark
Python
Spark
SQL
Unity
🕒 3 days ago
Data Engineer building PySpark, Databricks, and AWS pipelines for Bixal, a government technology consulting company. Improving platform reliability, scalability, and data operations for client programs.
🇺🇸 United States – Remote
💵 $95k - $115k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Apache
AWS
Hadoop
Kafka
Linux
PySpark
Python
Spark
SQL
Terraform
Unity
Job not on LinkedIn
🕒 3 days ago
Job not on LinkedIn
Data Engineer scaling SQLMesh, Python, and BigQuery pipelines for Splice’s creative music platform. Supporting creator payouts, GAAP revenue reporting, and product analytics reliability.
🇺🇸 United States – Remote
💵 $95k - $118.7k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
BigQuery
Cloud
ETL
Python
SQL
Job not on LinkedIn
🕒 3 days ago
Job not on LinkedIn
Data Engineer building cloud data pipelines for CVS Health, a healthcare company. Creating datasets that support analytics and data science workloads.
🏄 California, Idaho, +1 more states – Remote
💵 $64.9k - $173k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
🚫👨🎓 No degree required
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Python
SQL
Job not on LinkedIn
🕒 3 days ago
Job not on LinkedIn
Data Engineer II building scalable data pipelines and self-serve platforms for Slate’s affordable electric vehicles. Supporting analytics, machine learning, and critical business decisions.
🇺🇸 United States – Remote
💵 $119.7k - $179.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Amazon Redshift
AWS
Cloud
ETL
Java
Python
Scala
Spark
Job not on LinkedIn
🕒 3 days ago
Job not on LinkedIn
Engenheiro de Dados Sr desenvolvendo IA, pipelines e infraestrutura para projetos tecnológicos da Spassu. Otimizando dados, bancos e integrações em larga escala.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
Azure
ETL
Google Cloud Platform
Java
NoSQL
Python
Scala
SQL
🕒 3 days ago
Big Data Developer building Spark pipelines, ETL processes, and SQL solutions for Talan, an international technology consulting group. Supporting data integration, analytics, and transformation projects from its Málaga Hub.
Apache
Azure
ETL
Java
Python
Scala
Spark
SQL
+766 More Big Data Engineer Jobs Available!
The average salary for remote big data engineers is $99,596 per year. This is based on data from 30 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 |
|---|---|---|
🟢 Junior Big Data Engineer (1-2 yrs) | 3 | $0 |
🟡 Mid-level Big Data Engineer (2-4 yrs) | 18 | $94,367 |
🟠 Senior Big Data Engineer (5-9 yrs) | 8 | $140,411 |
🔴 Lead Big Data Engineer (10+ yrs) | 1 | $166,000 |
We analyzed 25 job listings in the last year and found it takes about 87 days for employers to close a job opening.
We reviewed 30 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, proficiency in big data technologies such as Hadoop, Spark, and Kafka, and a solid understanding of data modeling, ETL processes, and distributed systems. Analytical skills and problem-solving abilities are also crucial.
Typically, a degree in computer science, information technology, or a related field is required. Relevant certifications in big data technologies or cloud platforms can enhance your profile. Practical experience and a strong portfolio of projects are often more valuable than formal education.
Responsibilities include designing and managing big data pipelines, optimizing data storage and retrieval processes, ensuring data quality and integrity, collaborating with data scientists and analysts, and generating actionable insights from large datasets.
Benefits include flexible working conditions, the ability to work from various locations, strong demand for skills leading to job security, and competitive salaries. Remote work also allows for greater flexibility in balancing personal and professional life.
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.
