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Contract Databricks Developer Jobs in Massachusetts

Presidio

Engineering Manager - TX or MA

Woburn, MA · On-site

$200 - $250/hr

Contribute to practice growth by supporting operational needs such as RFP responses, contract ... Spark, Databricks), built on cloud platforms (AWS, Azure, or GCP) with modern practices like ...

TetraScience

General Counsel

Cambridge, MA · On-site

$280K - $400K/yr

TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher ... Collaborate closely with product, engineering, and security teams to identify and mitigate legal ...

TetraScience

General Counsel

Cambridge, MA · On-site

$280K - $400K/yr

TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher ... Collaborate closely with product, engineering, and security teams to identify and mitigate legal ...

TetraScience

General Counsel

Cambridge, MA · On-site

$280K - $400K/yr

TetraScience's growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher ... Collaborate closely with product, engineering, and security teams to identify and mitigate legal ...

Network Designs

AI Integrator #1744026

Chicopee, MA · On-site

... contract analysis, energy optimization, and snowfall recovery. This role requires a rare blend of ... Bachelor's degree in Engineering, Computer Science, or a related field. * Minimum of 12+ years of ...

Network Designs Inc.

AI Integrator #1744026

Chicopee, MA · On-site

$167K - $196K/yr

... contract analysis, energy optimization, and snowfall recovery. This role requires a rare blend of ... Bachelor's degree in Engineering, Computer Science, or a related field. * Minimum of 12+ years of ...

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Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the most commonly searched types of Databricks Developer jobs in Massachusetts?

The most popular types of Databricks Developer jobs in Massachusetts are:

What are popular job titles related to Contract Databricks Developer jobs in Massachusetts?

For Contract Databricks Developer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Developer jobs in Massachusetts look for?

The top searched job categories for Contract Databricks Developer jobs in Massachusetts are:

Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Massachusetts as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Director, Agent Intelligence - HYBRID ROLE

Vertex Pharmaceuticals

Boston, MA • On-site

$216K - $324K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Vertex Pharmaceuticals rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

78th of 86 rated pharmaceutical

Job description

Job Description
This is a Hybrid position requiring 3 days a week in our Boston office
We are seeking an experienced AI engineering leader to build and operate Vertex's Agent Intelligence layer: the memory, personas, skills, and flagship agent experiences that make every Vertex AI agent grounded, consistent, and effective. Vertex Pharmaceuticals is in a transformational period, and the AI team is at the center of our AI-first strategy, delivering solutions that empower executives, researchers, and business users to make faster, more confident decisions.
As part of the Vertex Data team, you will lead the Agent Intelligence function within Knowledge & Grounding. You will own the four primitives that all Vertex agents are built from: agent memory (personal and organizational), personas as code, skills (atomic tools and higher-order compositions), and the flagship agents that put those primitives to work on Vertex's hardest use cases.
As the Director of Agent Intelligence, you will build the reusable building blocks of agent intelligence at Vertex. Your work will multiply the velocity and quality of agent development across Vertex, ensuring every agent benefits from a common foundation of grounded, governed, and reusable intelligence.
Key Duties and Responsibilities:
  • Agent Memory. Design and operate Vertex's agent memory layer, spanning personal memory (per-user, per-session continuity) and organizational memory (shared institutional knowledge agents accumulate and reuse), including retention, retrieval, conflict resolution, and classification policies.
  • Personas as Code. Define and steward the persona system that gives Vertex agents their voice, remit, and boundaries, including versioning, review, composition, and deployment workflows.
  • Skills Catalog & Compositions. Curate the catalog of atomic tools agents can call (retrieval, analytics, action) and the higher-order skill compositions that combine them into persona-specific workflows, with clear contracts, registry, and quality standards.
  • Flagship Agent Development. Design, build, and deploy custom AI agents for Vertex's highest-value enterprise use cases using Snowflake Cortex AI, Databricks AI, and agent orchestration frameworks, using these builds to harden the underlying primitives.
  • Enterprise Agent Standards. Define and maintain the enterprise standards for agent orchestration, prompt libraries, persona definitions, tool-use patterns, and response quality that all teams must follow, regardless of builder.
  • Experience Consistency & UX Standards. Define the quality bar for conversational UX across the enterprise (tone/persona, citation patterns, error handling, escalation paths, transparency) and drive consistency across agents.
  • Prompt & Skill Library Stewardship. Curate and govern reusable prompt and skill assets (system prompts, persona templates, tool instructions, conversation patterns) with documentation and contribution workflows.

Knowledge and Skills:
  • Proven Experience. 10+ years of experience in data engineering, AI/ML, or advanced analytics, with 3+ years specifically focused on NLP systems, AI agent development, or conversational AI.
  • AI Agent Expertise. Hands-on experience building production AI agents using frameworks like LangChain, LangGraph, or similar orchestration tools.
  • Cloud AI Platforms. Strong experience with Snowflake (Cortex AI, Cortex Analyst, Cortex Search) and/or Databricks (Agent Bricks, AI Functions, Mosaic AI) in enterprise environments.
  • Full-Stack AI Engineering. Ability to work across the full AI stack, including data preparation, prompt engineering, agent orchestration, evaluation/testing, deployment, and monitoring.
  • Memory & State Design. Direct experience designing how agents remember, including session state, long-horizon memory, retrieval over conversational history, and the data model behind it.
  • Production Operations. Track record of operating AI systems in production with high availability, monitoring, and continuous improvement.
  • Leadership & Communication. Proven ability to lead technical teams, communicate with executive stakeholders, and translate business needs into AI solutions.

Preferred
  • Pharma or Life Sciences Context. Experience in pharmaceutical, biotech, or life sciences data environments. Familiarity with clinical, regulatory, and commercial data domains is a plus.
  • Platform Primitive Design. Experience designing reusable agent abstractions such as persona frameworks, skill registries, or tool catalogs.
  • Agent Evaluation Tooling. Familiarity with evaluation tooling such as Braintrust, LangSmith, Mosaic AI Agent Evaluation, Arize, or Ragas.
  • Model Customization. Experience with model fine-tuning, distillation, or post-training for domain adaptation.

Pay Range:
$216,400 - $324,600
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
1. Remote: work remotely five days per week and come into the office on occasion - you're always welcome on-site; or select
2. Hybrid: work remotely up to two days per week; or select
3. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Remote
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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