{"schemaVersion":"jobsearcher.job.v1","id":"06571c70d993e67bb3fbbf2d","url":"https://jobsearcher.com/jobs/06571c70d993e67bb3fbbf2d","canonicalUrl":"https://jobsearcher.com/jobs/06571c70d993e67bb3fbbf2d","title":"Data Engineer","description":"SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead.\n\nPosition Overview\n\nSiloSmashers is hiring for a Data Engineer to support digital transformation efforts for a government customer. The selected candidate will serve as part of a team responsible for architecting, developing, optimizing, and maintaining high‑performance data ingestion, transformation, streaming, and analytical pipelines within Databricks‑enabled Lakehouse environments. This role is expected to collaborate closely with the federal technical teams, and cross‑task platform, SRE, governance, privacy, and development personnel.\n\nRequired Skills\n\nFoundational experience designing and implementing Databricks Lakehouse solutions, including: Basic Delta Lake table design, schema evolution, and familiarity with medallion architecture (bronze/silver/gold).\nHands on experience with Databricks Workflows/Jobs, Auto Loader, COPY INTO, Structured Streaming, and introductory Databricks SQL Warehouse usage. Understanding of common performance considerations (e.g., cluster sizing, partitioning, basic caching strategies).\nPractical experience building batch or streaming pipelines using Python and PySpark, along with cloud native services in AWS or Microsoft Azure.\nExperience implementing secure cloud data integrations or platform configurations such as external locations, storage credentials, secret scopes, or identity federation basics.\nExperience working with Git based workflows and CI/CD tooling (e.g., GitHub Actions, Azure DevOps), plus familiarity with Databricks Repos, Asset Bundles, or basic Terraform/IaC concepts.\nIntroductory experience or interest in AI/ML enabled engineering, such as Databricks Model Serving, Genie, Agent Bricks, or equivalent cloud native ML platforms.\n\nMandatory Qualifications & Requirements\n\nAbility to obtain and maintain a Public Trust clearance.\nEight (8) or more years of experience (2 of which much be within the last five (5) years) in data engineering, ETL/ELT development, or distributed data processing within cloud environments or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks, etc.).\nBachelor's degree in computer science, information systems, engineering, or related field; or four (4) or more years of equivalent experience within the last six (6) years in lieu of a degree.\nDatabricks Data Engineer Associate Certification.\nAt least one foundational cloud certification (e.g., AWS Cloud Practitioner, AWS Developer Associate, Azure Fundamentals, or equivalent).\nPreferred but not required: Databricks Lakehouse Architect, Generative AI Associate/Professional, or related ML/AI certifications.\nThis position requires regular, physical attendance at customer sites.","company":"Silosmashers","rawCompany":"silosmashers","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-10-17T07:58:54.330Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"SiloSmashers, Inc. is a leading management and IT consulting firm, serving as a trusted advisor and solutions partner to a diverse range of government, business, and not-for-profit organizations. Applying proven expertise and methodologies, we help our customers align and mobilize every aspect of their operations, strengths, and resources to achieve Peak Performance and increased business value today and through the years ahead.\n\nPosition Overview\n\nSiloSmashers is hiring for a Data Engineer to support digital transformation efforts for a government customer. The selected candidate will serve as part of a team responsible for architecting, developing, optimizing, and maintaining high‑performance data ingestion, transformation, streaming, and analytical pipelines within Databricks‑enabled Lakehouse environments. This role is expected to collaborate closely with the federal technical teams, and cross‑task platform, SRE, governance, privacy, and development personnel.\n\nRequired Skills\n\nFoundational experience designing and implementing Databricks Lakehouse solutions, including: Basic Delta Lake table design, schema evolution, and familiarity with medallion architecture (bronze/silver/gold).\nHands on experience with Databricks Workflows/Jobs, Auto Loader, COPY INTO, Structured Streaming, and introductory Databricks SQL Warehouse usage. Understanding of common performance considerations (e.g., cluster sizing, partitioning, basic caching strategies).\nPractical experience building batch or streaming pipelines using Python and PySpark, along with cloud native services in AWS or Microsoft Azure.\nExperience implementing secure cloud data integrations or platform configurations such as external locations, storage credentials, secret scopes, or identity federation basics.\nExperience working with Git based workflows and CI/CD tooling (e.g., GitHub Actions, Azure DevOps), plus familiarity with Databricks Repos, Asset Bundles, or basic Terraform/IaC concepts.\nIntroductory experience or interest in AI/ML enabled engineering, such as Databricks Model Serving, Genie, Agent Bricks, or equivalent cloud native ML platforms.\n\nMandatory Qualifications & Requirements\n\nAbility to obtain and maintain a Public Trust clearance.\nEight (8) or more years of experience (2 of which much be within the last five (5) years) in data engineering, ETL/ELT development, or distributed data processing within cloud environments or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks, etc.).\nBachelor's degree in computer science, information systems, engineering, or related field; or four (4) or more years of equivalent experience within the last six (6) years in lieu of a degree.\nDatabricks Data Engineer Associate Certification.\nAt least one foundational cloud certification (e.g., AWS Cloud Practitioner, AWS Developer Associate, Azure Fundamentals, or equivalent).\nPreferred but not required: Databricks Lakehouse Architect, Generative AI Associate/Professional, or related ML/AI certifications.\nThis position requires regular, physical attendance at customer sites.","datePosted":"2026-10-17T07:58:54.330Z","dateModified":"2026-10-17T07:58:54.330Z","hiringOrganization":{"@type":"Organization","name":"Silosmashers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"06571c70d993e67bb3fbbf2d"},"url":"https://jobsearcher.com/jobs/06571c70d993e67bb3fbbf2d"}}