AgileEngine, LLC. is seeking a Lead Data Engineer to own the data pipeline and analytical architecture for a large-volume marketing analytics platform. You will make architectural decisions around partitioning strategy, file formats, schema design, and near-real-time processing for OLAP
AgileEngine is seeking a Senior Data Engineer to partner with internal data teams on a Customer Data Platform initiative, building Snowflake semantic structures and AI-ready data models for a growing retail client. You will write production-grade SQL and Python, maintain data models
AgileEngine, LLC. is seeking a Senior Data Engineer to design, automate, and manage data ingestion workflows with Enterprise Service Management, ensuring seamless integration with downstream systems including ServiceNow. You will use Python for workflow development, Snowflake for storage, and
Bluelight Consulting LLC seeks an ETL Data Engineer to join their dynamic team in Colombia. You will develop and maintain data integration processes using Python (PySpark) within Azure Synapse Analytics. Collaborate with data scientists and analysts to ensure high-quality data for
AgileEngine is seeking a Senior Data Engineer to architect and scale a modern data platform. You will build ETL/ELT pipelines, optimize Snowflake schemas, and establish robust DataOps practices. Expect to work with Airflow, Prefect, or Dagster, and apply CI/CD,
Agregio Solutions is hiring a Backend Software Engineer Java for VPP Development. You will develop features for large data volumes, design scalable architectures, and own end‑to‑end delivery from development to monitoring. The role encourages mentoring, agile practices, and
AgileEngine, LLC. is seeking a Senior Full Stack Engineer to build and maintain cloud-native apps with React on frontend and Node.js and C# on backend. You will optimize data solutions across SQL, PostgreSQL, and DynamoDB, and work with
Bluelight Consulting is seeking a seasoned Full-Stack Engineer to architect, implement, and ship end-to-end software solutions for complex financial reporting and data visualization. You will refactor existing codebases, improve performance, and work closely with product managers and data engineers to
Remote data engineers are essential components of any data analytics team. They are in charge of managing, optimizing, overseeing, and monitoring data retrieval. They also manage storage and distribution across the company. Data engineers are responsible for identifying patterns in large data sets and designing algorithms to make raw data relevant to businesses. This IT position necessitates a diverse range of technical abilities. This includes a thorough understanding of SQL database design and several programming languages.
Yes, data engineers can fulfill their duties from any country in the world. One important consideration is to do with global time differences. You’ll need to be available if there’s an emergency such as a data breach or system failure. In saying that, there’s no reason to not be able to work 100% remotely.
Generally speaking, yes. Given that data engineers are responsible for all the data within a company, the company is required to provide equipment that will allow the data engineer to accomplish the job at hand.
Yes, in the data engineering industry, experience often trumps education. In order to become the best remote data engineer, it’s best to start out as an analyst. This will help you get a feel for the business. Training in both software development and data science skills such as statistics and math will also help further your career.
Data Engineers require the latest technology available. This is because the organization is reliant on the design, security, and speed at which the data engineer can deep dive into
Entry-level remote jobs are available under the mentorship of the data manager.
The answer is yes. They are able to mine and analyze data during system down-times. During these times data engineers can add machine learning feature transformations into existing systems. Integrating external or new datasets into existing data pipelines is best done after the company’s work hours. So the duties of a data engineer can definitely all be done remotely.