Forward Deployed Engineer
RevStar
Posted: 10/20/2026Amazon RedshiftAWSCloudHadoopPySparkPythonSparkSQLUnity
Engineer 1
HII
Posted: 10/20/2026Engineer 1
HII
Posted: 10/20/2026Assembly
Senior Forward Deployed Engineer
Continuum Resource Network
Posted: 10/20/2026AWSCloudDockerETLGoogle Cloud PlatformJavaScriptNext.jsNode.jsPostgres+4 more
Upgrades Engineer
Baxter International Inc.
Posted: 10/20/2026KubernetesLinuxSQLTCP/IPVoIP
Human Factors Engineer
SAIC
Posted: 10/20/2026Python
Senior Compiler Engineer, Agentic Compiler Systems
NVIDIA
Posted: 10/20/2026PythonC++
Technical Services Engineer – Federal
WEKA
Posted: 10/20/2026AnsibleAWSAzureCloudDistributed SystemsKubernetesLinuxNFSPython+2 more
Founding Forward Deployed Engineer
Docebo
Posted: 10/20/2026AWSDistributed SystemsJavaScriptKubernetesNext.jsReactTypeScript
Fire Protection Engineer
Booz Allen Hamilton
Posted: 10/20/2026TypeScript
Transportation Engineer
AMT Engineering
Posted: 10/20/2026
Closures Systems Launch Engineer
Ford Motor Company
Posted: 10/20/2026Assembly
Product Development Engineer – Racing Parts
Ford Motor Company
Posted: 10/20/2026Racing Additive Engineer
Ford Motor Company
Posted: 10/20/2026
SCADA Engineer – Power Generation
Onward Energy
Posted: 10/19/2026Python
Senior Forward Deployed Engineer – Palantir Certified
Rackspace Technology
Posted: 10/19/2026CloudDockerERPETLJavaScriptKubernetesNode.jsNoSQLOpenStack+4 more
SCADA Engineer – Power Generation
Onward Energy
Posted: 10/19/2026Python
Transportation Engineer III
Baxter & Woodman
Posted: 10/19/2026
Computer Engineer
The Marlin Alliance, Inc.
Posted: 10/19/2026Cyber SecurityTypeScript
Senior Controls Engineer
ENGEL
Posted: 10/19/2026AssemblyJavaC++
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying data pipelines and analytics engines within the Databricks ecosystem, with a strong focus on Generative AI and machine learning solutions. Proven ability to lead technical engagements with enterprise clients and mentor junior team members while driving measurable business outcomes.
Highest-signal resume keywords
Databricks Ecosystem ExpertiseData EngineeringMachine Learning Solutions ArchitectureCloud-Native ArchitecturesTechnical Leadership
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and modern cloud ecosystems
- Serve as the primary technical leader on strategic enterprise client engagements
- Partner with C-level executives, VP/Directors of Data, and engineering teams to translate business challenges into technical solutions
- Lead complex migrations from Snowflake, Teradata, legacy Hadoop, SQL Server, and other platforms onto Databricks Lakehouse architecture
- Guide enterprise customers in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations
- Identify high-value technical use cases across client business units, expand Databricks platform usage, and drive measurable client ROI
- Mentor and coach junior Solution Engineers, Architects, and Consultants
- Contribute to internal RevStar code libraries, reusable accelerators, and technical delivery best practices
Requirements
What you’ll need- 5+ years of hands-on experience in Data Engineering, Machine Learning, or Solutions Architecture
- 3+ years of deep technical experience within the Databricks Ecosystem, including Delta Lake, Unity Catalog, MLflow, Spark/PySpark, Databricks Workflows/Jobs, and Mosaic AI
- Practical experience designing and deploying RAG pipelines, fine-tuning LLMs, working with vector databases, and managing ML pipelines end-to-end
- Strong expertise in cloud-native architectures; AWS preferred, including S3, Glue, Lambda, and Redshift
- Proven track record of migrating enterprise legacy data warehouses/lakes onto Databricks
- Databricks Certified Data Engineer Professional and/or Machine Learning Professional preferred
- Demonstrated track record of leading technical delivery for Fortune 500 or large enterprise clients
- Healthcare, Retail, or Consumer Goods experience is a strong plus
- Exceptional verbal and written communication skills
- Comfortable presenting technical architecture, building POCs/demos, and managing client stakeholders up to the C-suite
- Ability to spot technical expansion opportunities within existing client accounts and serve as a technical advocate to grow account footprint
Benefits
Comp & perks- Paid Time Off
- Remote-First Working Environment
- Comprehensive Health Coverage – Medical, Dental, Vision
- 401(k) Retirement Plan
- Annual Learning & Development Stipend
- Peer Mentorship & Coaching
- Professional Growth Opportunities
- Company Outings & Volunteer Opportunities
- Collaborative, Innovative Culture
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringMachine LearningGenerative AIRAG Pipeline DesignLLM Fine-TuningDatabricks WorkflowsSpark/PySparkDelta LakeMLflowVector Databases
Soft Skills
Exceptional Communication SkillsClient Stakeholder ManagementMentoringTechnical Advocacy
Tools & Technologies
DatabricksAWSS3GlueLambdaRedshiftUnity CatalogMosaic AI
Certifications & Qualifications
Databricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Professional
Industry Keywords
HealthcareRetailConsumer GoodsEnterprise Data MigrationTechnical Delivery