Company Description Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer
Posting number: 2026PX27695 Department: DCHS - Community & Human Srvcs Division: Comm & Human Svcs Admin Job classification: Data Engineer (C23 : PROTEC17-Non-Sups Staff (DCHS)) Posting type: Open & Promotional Categories: Engineering, IT and Computers, Human Services, Community
Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay,
A leading sustainability-focused firm is hiring a Data Engineer in Seattle to develop geospatial data pipelines for their platform, SpatiaFi. This full-time position requires advanced skills in cloud geospatial data engineering and Python development, with a preference for candidates with
Whatnot is seeking a Data Engineer to build scalable data infrastructure powering decisions across the company. You will design data architectures, implement pipelines, and create foundational data products for internal growth. You will collaborate with payments and finance, analytics, and product
A leading live shopping platform is seeking a Data Engineer to build data systems that power the company’s growth. This role involves designing data architectures, developing critical pipelines, and ensuring data quality. The ideal candidate will have experience with data engineering tools,
Alignerr is seeking a Senior Backend Engineer (C#) to design and build data pipelines, annotation tooling, and evaluation infrastructure for AI systems. This fully remote, hourly contract role demands strong backend skills and collaboration with cross-functional teams. You
Alignerr is seeking a senior full-stack Python engineer to design, build, and operate data pipelines, annotation tooling, and evaluation systems for AI workflows. The role is a fully remote, hourly contract with a commitment of 20–40 hours per
Alignerr is seeking a Senior Backend Engineer (C#) for an AI data platform. This fully remote hourly contract role offers 20–40 hours per week and focuses on building scalable data pipelines, annotation tooling, and evaluation systems used by AI
Whatnot is seeking a Software Engineer, Data Foundations to define the technical direction of data platform systems and lead the evolution of our real‑time analytics stack. You will own scalability, reliability, and production readiness for data pipelines that power live
HCLTech is seeking a Data Quality Engineer to advance data quality across the data pipeline in the US market. You will develop automated data validations, leverage AWS Glue, Redshift, S3, Lambda, and Airflow, and apply Deequ to monitor quality KPIs. The
HCLTech is seeking an AWS Quality Data Engineer for a remote role with local Seattle preference. You will build automated tests to validate data movement, ensure schema consistency, and monitor data quality across pipelines. Collaborate with data engineers, BI, and software teams
Affirm is building a data platform at scale to power its buy-now-pay-later ecosystem. This role focuses on the platform and applications layer, enabling teams to work with data across OLTP and OLAP. You will contribute to reliability, self-service
Orrick Orrick currently has an excellent opportunity for an IT Security Engineer, Governance Risk & Compliance (GRC), Data Protection and Privacy Support. This position could be based in any of our U.S. offices and consideration given for 100%
Jobright.ai is seeking a Senior Customer Engineer to build strong customer relationships and guide clients through the intricacies of our data solutions. The ideal candidate will possess over three years in related roles and a deep understanding of
SentiLink is hiring a Senior Data Platform Engineer to own the data infrastructure behind our fraud-detection products. You will collaborate with product, engineering, and data science teams to build, enhance, and scale the data platform powering our real-time services. The role
Supermicro is seeking a Data Center Service Engineer based in Quincy, WA to perform fieldwork at customer sites, resolve server system issues, and support our Global Service network. This is a hands-on, on-site role requiring strong hardware skills,
Speechify is looking for a skilled Software Engineer to join their AI team in Seattle, Washington. The ideal candidate will manage data collection processes for model training and operate the cloud infrastructure on GCP. Required qualifications include a
Arista Networks in Seattle focuses on providing innovative networking solutions. As a member of the Cloud Services team, you will ensure post-sales success for strategic customers, providing network designs and optimizing operations. This role requires hands-on
The Allen Institute is launching a Brain Health Accelerator and seeks a Software Engineer III, Cloud Services to design, build, and operate secure, scalable cloud infrastructure for vast neuroscience data. You will work across cross‑functional teams and external
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.