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Staff AI & Data Engineer - Databricks

Eliassen Group

Remote • Today

Contract

Staff Data Engineer - Databricks

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Full-time

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USD 130,295.00 - 260,590.00 per year

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Senior Staff Data Engineer

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Principal Data Engineer - Databricks

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Principal Data Engineer

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Easy Apply

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Principal Data Engineer

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Hybrid in Houston, Texas • 15d ago

Easy Apply

Full-time

Depends on Experience

Databricks Lead (Staff IT Engineer)

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Perplexity AI

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Senior Staff Data Architect Engineer

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Staff Data Infrastructure Engineer

Faire

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Staff Data & Analytics Engineer, Domain Enablement (R6112)

Shield AI Inc

Dallas, Texas • Today

Full-time

USD 160,000.00 - 240,000.00 per year

Staff Software Engineer - Enterprise Data & AI (Intelligence Platform)

Riot Games

Los Angeles, California • Today

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USD 192,500.00 - 269,400.00 per year

Staff Data Architect - Remote (EST)

Motion Recruitment Partners, LLC

Remote or Boston, Massachusetts • Today

Easy Apply

Full-time

USD 160,000.00 per year

Principal Software Engineer - Databricks

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

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USD 204,250.00 - 285,000.00 per year

Staff AI & Data Engineer, HR Systems

Riot Games

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Staff Software Engineer, ML Data Infrastructure, Autonomy

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Palo Alto, California • Today

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USD 206,500.00 - 258,100.00 per year

Staff Software Engineer - Data Ingestion

Rippling

San Francisco, California • Today

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USD 189,000.00 - 315,000.00 per year

Staff Software Engineer - Data Infrastructure

Plaid

Seattle, Washington • 25d ago

Full-time

Staff Security Data Engineer

Adobe Systems

San Jose, California • Today

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Staff Data Scientist

Grid Dynamics Holdings, Inc

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Full-time

Eliassen Group

Job Details

Skills

Data Engineering
Modeling
Life Insurance
Database
SaaS
Change Data Capture
Data Deduplication
Scalability
Onboarding
Auditing
Dashboard
Promotions
Ontologies
KPI
Testing
Workflow
Apache Spark
Amazon Web Services
Data Analysis
Electronic Health Record (EHR)
Python
SQL
Streaming
Orchestration
Data Quality
Unity
Dimensional Modeling
Git
Continuous Integration
Continuous Delivery
Automated Testing
Generative Artificial Intelligence (AI)
Semantics
Natural Language
Analytics
Evaluation
Databricks
Business Intelligence
Microsoft Certified Professional
Finance
Meta-data Management
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Data Engineering
Modeling
Life Insurance
Database
SaaS
Change Data Capture
Data Deduplication
Scalability
Onboarding
Auditing
Dashboard
Promotions
Ontologies
KPI
Testing
Workflow
Apache Spark
Amazon Web Services
Data Analysis
Electronic Health Record (EHR)
Python
SQL
Streaming
Orchestration
Data Quality
Unity
Dimensional Modeling
Git
Continuous Integration
Continuous Delivery
Automated Testing
Generative Artificial Intelligence (AI)
Semantics
Natural Language
Analytics
Evaluation
Databricks
Business Intelligence
Microsoft Certified Professional
Finance
Meta-data Management
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Description:
Remote

Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the Databricks platform, onboarding new data sources, building reusable ingestion and transformation frameworks, creating trusted Gold-layer data products, enabling cross-domain analytics, and developing semantic and agent-ready capabilities. The ideal candidate brings strong data engineering expertise with modern AI and GenAI engineering skills and works across pipelines, modeling, data quality, governance, semantic layers, natural-language analytics, and AI agents.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80.00 to $90.00/hr. w2

JN -53

Responsibilities:

Design and build production-grade data pipelines on Databricks.
Ingest data from enterprise applications, databases, APIs, SaaS platforms, files, and other source systems.
Build and maintain Bronze, Silver, and Gold medallion architectures.
Implement incremental processing and change data capture patterns where appropriate.
Standardize types, codes, units, keys, and business definitions across source systems.
Implement deduplication, historical tracking, schema evolution, and data lineage.
Optimize pipelines for reliability, performance, scalability, and cost.
Build a configuration-driven source onboarding framework and Lakeflow pipeline templates.
Automate source registration, deployment, monitoring, lineage, and operational controls.
Implement data quality expectations, anomaly detection, monitoring, and quarantine processes.
Implement job and pipeline monitoring, alerting, audit logging, and operational dashboards.
Support automated deployment and promotion using Databricks Asset Bundles and CI/CD.
Develop conformed dimensions and shared-key strategies across domains.
Build integrated Gold-layer products and reusable data contracts.
Build AI-ready Gold data products with ownership, lineage, definitions, and quality information.
Develop semantic context, business glossary, ontology, and certified KPIs in Unity Catalog.
Build governed Unity Catalog functions and agent-ready tools and endpoints.
Implement tracing, evaluation, testing, monitoring, and governance for AI and agent workflows.
Support development of AI agents that use trusted enterprise data.

Experience Requirements:

Advanced hands-on experience with Databricks, Apache Spark, Delta Lake, and SQL.
Hands-on experience with AWS services related to data analytics and AI, including EMR and Bedrock.
Strong Python and SQL development skills.
Experience building scalable batch and/or streaming data pipelines.
Deep understanding of Bronze/Silver/Gold medallion architectures.
Experience with Databricks Lakeflow or comparable orchestration technologies.
Experience implementing enterprise data quality, lineage, observability, and monitoring.
Experience with Unity Catalog and governed enterprise data environments.
Strong understanding of dimensional modeling, data products, semantic models, and cross-domain integration.
Experience with Git-based development, CI/CD, automated testing, and production deployment.
Ability to troubleshoot complex distributed data and pipeline issues.
Experience building AI and GenAI solutions against enterprise data.
Understanding of semantic layers and natural-language-to-data architectures.
Experience with Databricks Genie or comparable natural-language analytics technology.
Experience building tools, functions, APIs, or services consumed by AI agents.
Understanding of MCP, agent tool calling, tracing, evaluation, and AI governance.
Experience developing production AI solutions with security, observability, and governance controls.
Preferred: Databricks Data Engineer Professional or equivalent experience.
Preferred: Experience with Databricks AI/BI, Genie, MLflow, and MCP-based integrations.
Preferred: Experience in Real Estate, Finance, People/Workplace, Operations, or similar domains.
Preferred: Experience building metadata-driven or configuration-driven ingestion frameworks.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: cxelisen
Position Id: a1WUQ00000204aL2AQ
Posted 13 hours ago

Company Info

About Eliassen Group

Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Fitment

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Remote

•

Today

Description: Remote Our client is seeking a Senior Solution Architect to provide technical leadership for a large-scale Data & AI modernization initiative. This individual will own the overall architecture and technical direction across Databricks platform modernization, data engineering, governance, observability, semantic architecture, and AI/agent enablement. The Solution Architect will work closely with platform, data, security, business, and engineering stakeholders while providing techni

Contract

Databricks Data Engineer

Remote

•

Today

Description: Remote Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and SaaS solutions. You will partner with machine learning engineers, software engineers, data scientists, and analysts to deliver data products for clients and to support internal data practices. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benef

Full-time

USD 150,000.00 - 154,000.00 per year

Azure Cloud Security and Databricks Consultant

Remote

•

Today

Description: Remote but King of Prussia, PA or Milwaukee, WI preferred Our client seeks a security-focused Azure and Databricks specialist to support cloud migration and hardening activities associated with a transition services agreement. The consultant will drive architecture reviews, vulnerability remediation, IaC security scanning, CSPM rollout, SaaS data protection, and governance for Azure Databricks. The role requires coordination across legacy and target environments, rigorous document

Contract

Data Engineer

Remote

•

Today

Description: Remote Our client seeks a data engineer to collaborate with cross-functional teams and own systems, processes, and the tech stack across the SDLC. The role focuses on building and optimizing scalable data pipelines across Azure and Google Cloud Platform, implementing feature engineering for machine learning with Python and Vertex AI, and ensuring quality through automated testing and CI/CD. The engineer will modernize and extend data assets across SQL, NoSQL, and streaming platfor

Contract

Eliassen Group

Job Details

Skills

Data Engineering
Modeling
Life Insurance
Database
SaaS
Change Data Capture
Data Deduplication
Scalability
Onboarding
Auditing
Dashboard
Promotions
Ontologies
KPI
Testing
Workflow
Apache Spark
Amazon Web Services
Data Analysis
Electronic Health Record (EHR)
Python
SQL
Streaming
Orchestration
Data Quality
Unity
Dimensional Modeling
Git
Continuous Integration
Continuous Delivery
Automated Testing
Generative Artificial Intelligence (AI)
Semantics
Natural Language
Analytics
Evaluation
Databricks
Business Intelligence
Microsoft Certified Professional
Finance
Meta-data Management
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Data Engineering
Modeling
Life Insurance
Database
SaaS
Change Data Capture
Data Deduplication
Scalability
Onboarding
Auditing
Dashboard
Promotions
Ontologies
KPI
Testing
Workflow
Apache Spark
Amazon Web Services
Data Analysis
Electronic Health Record (EHR)
Python
SQL
Streaming
Orchestration
Data Quality
Unity
Dimensional Modeling
Git
Continuous Integration
Continuous Delivery
Automated Testing
Generative Artificial Intelligence (AI)
Semantics
Natural Language
Analytics
Evaluation
Databricks
Business Intelligence
Microsoft Certified Professional
Finance
Meta-data Management
Screening
Artificial Intelligence
Recruiting
Taxes
Insurance
Law
Communication
Gmail
Routing
Management Consulting
Life Sciences
SAP BASIS
Military

Summary

Design and build production-grade data pipelines on Databricks.
Ingest data from enterprise applications, databases, APIs, SaaS platforms, files, and other source systems.
Build and maintain Bronze, Silver, and Gold medallion architectures.
Implement incremental processing and change data capture patterns where appropriate.
Standardize types, codes, units, keys, and business definitions across source systems.
Implement deduplication, historical tracking, schema evolution, and data lineage.
Optimize pipelines for reliability, performance, scalability, and cost.
Build a configuration-driven source onboarding framework and Lakeflow pipeline templates.
Automate source registration, deployment, monitoring, lineage, and operational controls.
Implement data quality expectations, anomaly detection, monitoring, and quarantine processes.
Implement job and pipeline monitoring, alerting, audit logging, and operational dashboards.
Support automated deployment and promotion using Databricks Asset Bundles and CI/CD.
Develop conformed dimensions and shared-key strategies across domains.
Build integrated Gold-layer products and reusable data contracts.
Build AI-ready Gold data products with ownership, lineage, definitions, and quality information.
Develop semantic context, business glossary, ontology, and certified KPIs in Unity Catalog.
Build governed Unity Catalog functions and agent-ready tools and endpoints.
Implement tracing, evaluation, testing, monitoring, and governance for AI and agent workflows.
Support development of AI agents that use trusted enterprise data.

Experience Requirements:

Advanced hands-on experience with Databricks, Apache Spark, Delta Lake, and SQL.
Hands-on experience with AWS services related to data analytics and AI, including EMR and Bedrock.
Strong Python and SQL development skills.
Experience building scalable batch and/or streaming data pipelines.
Deep understanding of Bronze/Silver/Gold medallion architectures.
Experience with Databricks Lakeflow or comparable orchestration technologies.
Experience implementing enterprise data quality, lineage, observability, and monitoring.
Experience with Unity Catalog and governed enterprise data environments.
Strong understanding of dimensional modeling, data products, semantic models, and cross-domain integration.
Experience with Git-based development, CI/CD, automated testing, and production deployment.
Ability to troubleshoot complex distributed data and pipeline issues.
Experience building AI and GenAI solutions against enterprise data.
Understanding of semantic layers and natural-language-to-data architectures.
Experience with Databricks Genie or comparable natural-language analytics technology.
Experience building tools, functions, APIs, or services consumed by AI agents.
Understanding of MCP, agent tool calling, tracing, evaluation, and AI governance.
Experience developing production AI solutions with security, observability, and governance controls.
Preferred: Databricks Data Engineer Professional or equivalent experience.
Preferred: Experience with Databricks AI/BI, Genie, MLflow, and MCP-based integrations.
Preferred: Experience in Real Estate, Finance, People/Workplace, Operations, or similar domains.
Preferred: Experience building metadata-driven or configuration-driven ingestion frameworks.

Dice Id: cxelisen
Position Id: a1WUQ00000204aL2AQ
Posted 13 hours ago

Company Info

About Eliassen Group

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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Staff AI & Data Engineer - Databricks

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Summary

Dice Job Match Score™

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Staff AI & Data Engineer - Databricks

Eliassen Group

Job Details

Skills

Summary

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About Eliassen Group

Dice Job Match Score™

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