{"id":3511787,"url":"https://alion.io/job/digital-divide-data-solution-engineer","title":"Solution Engineer","company":{"id":7693,"name":"Digital Divide Data","domain":"digitaldividedata.com","url":"https://alion.io/company/digital-divide-data","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Nairobi, Kenya"],"countries":["KE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":42000,"period":"year","method":null,"sample_n":6503},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI 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queryable datasets.\n\nModel custom entities and map diverse data sources into standardised target schemas.\n\nBuild and manage data environments using SQLite, Google Cloud SQL and BigQuery.\n\nDevelop and maintain Dockerised services for data loading, embedding generation and data-serving applications.\n\nDeploy and operate production workloads on Google Cloud Run, with a focus on scalability, reliability and high availability.\n\nWork across Redis, VPC networking, Artifact Registry and Cloud Storage.\n\nImplement secure cloud architectures using Cloud IAM, VPC and Cloud Run ingress controls.\n\nAutomate data workflows and deployments through GitHub Actions, including scheduled ingestion, ID mapping, embedding generation and container builds.\n\nBuild and integrate AI-powered capabilities, including natural-language querying, semantic search, embeddings and LLM-powered workflows.\n\nContribute to emerging agentic architectures and integrations, including technologies such as Model Context Protocol (MCP).\n\nQualifications\n\n2+ years’ experience in data engineering, cloud engineering or backend development.\n\nStrong Python development skills, including practical experience with Pandas.\n\nSolid experience with Docker and containerised applications.\n\nStrong working knowledge of Google Cloud Platform, particularly cloud compute, managed databases, data warehousing, networking and IAM.\n\nStrong SQL skills and experience working with both relational and analytical data stores.\n\nExperience designing, building and consuming REST APIs.\n\nA strong engineering mindset, with the ability to work independently, troubleshoot complex problems and take ownership from development through to production.\n\n Design and build robust data ingestion pipelines, transforming raw CSV/TSV data into structured, queryable datasets.\n\nModel custom entities and map diverse data sources into standardised target schemas.\n\nBuild and manage data environments using SQLite, Google Cloud SQL and BigQuery.\n\nDevelop and maintain Dockerised services for data loading, embedding generation and data-serving applications.\n\nDeploy and operate production workloads on Google Cloud Run, with a focus on scalability, reliability and high availability.\n\nWork across Redis, VPC networking, Artifact Registry and Cloud Storage.\n\nImplement secure cloud architectures using Cloud IAM, VPC and Cloud Run ingress controls.\n\nAutomate data workflows and deployments through GitHub Actions, including scheduled ingestion, ID mapping, embedding generation and container builds.\n\nBuild and integrate AI-powered capabilities, including natural-language querying, semantic search, embeddings and LLM-powered workflows.\n\nContribute to emerging agentic architectures and integrations, including technologies such as Model Context Protocol (MCP).\n\nQualifications\n\n2+ years’ experience in data engineering, cloud engineering or backend development.\n\nStrong Python development skills, including practical experience with Pandas.\n\nSolid experience with Docker and containerised applications.\n\nStrong working knowledge of Google Cloud Platform, particularly cloud compute, managed databases, data warehousing, networking and IAM.\n\nStrong SQL skills and experience working with both relational and analytical data stores.\n\nExperience designing, building and consuming REST APIs.\n\nA strong engineering mindset, with the ability to work independently, troubleshoot complex problems and take ownership from development through to production.","description_format":"text","description_chars":3575,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","Nonprofits & 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