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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE SR SOFTWARE ENGINEER - **Company:** TALENT Software Services - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Business Analytics Applications, Data Analysis, Applications Architecture, Big Data, BigQuery, Cloud Computing, Software Documentation, Data Validation, Information Engineering, Data Infrastructure, Data Warehousing, Linux, DevOps, Data Flow Control, Python (Programming Language), Machine Learning, Software Engineering, Google Cloud, Data Ingestion, Containerization, Integration Frameworks, Database Replication, Data Pipelines, Golang, Programming Languages, Microservices - **Published:** June 23, 2026 - **Apply:** https://www.dice.com/job-detail/fae993ed-0eba-49d4-a41b-518ed4f9a701 ## About the Role * Experience working on healthcare, life science, or scientific research projects. * A degree or domain knowledge in a life science-related field (biochemistry, genetics, biology, etc.). * Experience with Google Cloud Platform-based infrastructure and services. * 100% remote. ## Description We are seeking a professional to design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state-of-the-art software development applications and frameworks. * Ensure that cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase. * Work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients. * Collaborate with Product Owners, Product Managers, Architects to translate requirements into code. * Develop services around data warehousing, big data, cloud computing, business intelligence, analytics, and machine learning. * Participate in DevOps, Agile, continuous development, and integration frameworks. * Program in high-level languages such as Go, Python, Java, etc. * Ensure all appropriate documentation of processes and source code is created and maintained. * Communicate effectively with peers, leaders, and customers throughout the organization. * Participate in expert-level troubleshooting and resolve problems through root cause analysis, data, and system investigation. * Contribute to design and architecture discussions with Principals and Architects. * Lead targeted cross-functional improvement efforts and mentor more junior software engineers. * Solve complex problems; take a new perspective on existing solutions. * Work independently with minimal guidance. You may lead projects or project steps within a broader project or have accountability for ongoing activities or objectives. * Act as a resource for colleagues with less experience. Data Engineering Skills & Experience * Create, verify, and maintain data replication scripts. * Create, verify, and maintain data validation, processing, and ingestion pipelines. * Deploy and automate the execution of data replication scripts and data pipelines in cloud infrastructure. * Create and maintain data catalogs that describe datasets and their contents (i.e., files, file types, tables/views, columns, fields, etc.). * Create, verify, and maintain dashboards and reports that characterize ingested datasets. * Create, verify, and maintain data validation scripts/APIs that verify the production dataset contains the correct number of samples/records, expects values/fields/columns are populated, and values are of the correct data type, format, and range. * Deploy and automate the execution of data validation scripts/APIs. * Create and maintain user documentation (dataset descriptions, tutorials, code examples, etc.). * Define entitlements, user groups, roles, and permissions utilized to grant access to datasets. Programming Languages * Primary pipeline development language will be Python. * Some datatypes and formats may require the use of other languages (i.e., Java, R, etc.) because the libraries/frameworks/sdks available to work with those datatypes and formats are not available in Python. Operating Systems * Primary operating system for data pipeline execution will be Linux, with data pipelines packaged, deployed, and run as containers. * Data source systems could be Windows or Linux based., * Primary data platform and data pipeline execution infrastructure will be hosted on Google Cloud Platform (Google Cloud Platform) utilizing cloud-native technologies (i.e., Google Cloud Storage, BigQuery, Google Batch, Dataflow, Cloud SQL, etc.). * Data will be replicated from various on-premises sources that include laboratory instruments, network shared drives, and Windows desktops attached to instruments. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Why Your Next Best Talent Might Not Be in Your Neighborhood](https://www.wearedevelopers.com/videos/1861-why-your-next-best-talent-might-not-be-in-your-neighborhood) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [How Much Does a Software Engineer Make? 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