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Databricks Developer Jobs in Boston, MA (NOW HIRING)

Cloud Engineer-Azure and DataBricks

Cambridge, MA · On-site

$61 - $81.50/hr

Cloud Engineer- Azure and DataBricks Location: Remote Duration: 3 to 6 Months Contract to hire ... Support DevOps maturation: Development and Deployment process and support the running Environments ...

Spark Scala / Data Developer

Quincy, MA · On-site

$55.75 - $72.25/hr

REQUIRED SKILLS * Overall experience 7 to 8 years in Scala- Spark data engineering and Data ... Currently on Hadoop but moving to Databricks - ideally with Scala/Spark OR Java * Experience in ...

Java Developer

Boston, MA · On-site

$55.50 - $71.75/hr

Java Developer Location : Boston, MA (Hybrid) - Local MA candidates only Duration : Long term ... Databricks for analytics and transformation tasks. · Develop, optimize, and maintain solutions ...

Cognos Developer Location: Boston, MA- Local Only- F2F Interview Experience: 8-10 Year Duration: 12 ... Databricks| Spark Scala| AWS Diverse Lynx LLC is an Equal Employment Opportunity employer. All ...

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

CI/CD (GitHub/GitLab/Azure DevOps), testing (pytest), and observability (logs/metrics). Nice to have * Databricks Delta Live Tables , Unity Catalog automation, Model Serving. * Orchestration (Airflow ...

Senior Data Engineer

Boston, MA

$115K - $156K/yr

Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages ... Proven experience implementing SCAS, SAST, DAST/WAS, and secure DevOps practices within an SDLC ...

Senior Data Engineer (Boston, MA)

Boston, MA · On-site

$124K - $149K/yr

Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages ... Proven experience implementing SCAS, SAST, DAST/WAS, and secure DevOps practices within an SDLC ...

Senior Data Engineer (Boston, MA)

Boston, MA

$124K - $149K/yr

Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages ... Proven experience implementing SCAS, SAST, DAST/WAS, and secure DevOps practices within an SDLC ...

IICS / ETL Developer

Boston, MA · On-site

$55.50 - $72.50/hr

Developer Position Looking for a developer to build applications using IICS as ETL. Experience in ... Databricks, Oracle Data Integrator (ODI) or equivalent. Minimum 5 years of experience in database ...

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Databricks Developer information

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How much do databricks developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for databricks developer in Boston, MA is $66.80, according to ZipRecruiter salary data. Most workers in this role earn between $60.05 and $73.89 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
What are popular job titles related to Databricks Developer jobs in Boston, MA? For Databricks Developer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Databricks Developer jobs in Boston, MA look for? The top searched job categories for Databricks Developer jobs in Boston, MA are:
Infographic showing various Databricks Developer job openings in Boston, MA as of June 2026, with employment types broken down into 82% Full Time, 7% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $138,945 per year, or $66.8 per hour.
Senior Data Lakehouse Architect (Databricks), Vice President

Senior Data Lakehouse Architect (Databricks), Vice President

State Street Corporation

Quincy, MA • On-site

$70.75 - $94.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Define and implement the end-to-end Legal Data Lakehouse architecture using Databricks on AWS.

  • Lead development of ETL/ELT pipelines and integrate data from legal and enterprise platforms.

  • Implement data governance frameworks and ensure compliance with data privacy, security, and audit requirements.


Job description

Senior Data Lakehouse Architect (Databricks), Vice President
Corporate Functions Technology
Who We Are Looking For
We are seeking a Senior Data Lakehouse Architect to design and lead the build-out of a Legal Data Lakehouse platform on AWS and Databricks. This role will drive the architecture, engineering, and governance of scalable, secure, and compliant data capabilities supporting legal operations, contract intelligence, eDiscovery, and AI/ML use cases.
The ideal candidate brings deep expertise in Databricks, AWS data platforms, and enterprise data architecture, with experience delivering solutions in regulated environments aligned to security, compliance, and audit requirements.
Why This Role Is Important to Us
State Street's Legal function operates across a broad set of contracts, matters, regulatory obligations, documents, and workflows that are distributed across multiple systems and formats. Building a modern Legal Data Lakehouse is critical to creating a trusted, governed foundation that brings these data sources together-making legal information easier to access, analyze, and use at scale.
This role is critical to establishing a secure and scalable data foundation that enables legal analytics and AI use cases while strengthening governance, auditability, and global consistency across Legal.
What You Will Be Responsible For
1. Architecture & Platform Design
  • Define and implement the end-to-end Legal Data Lakehouse architecture using Databricks (Delta Lake, Unity Catalog, Workflows) on AWS
  • Design multi-layered data architecture (Bronze, Silver, Gold) to support:
    • Contract metadata and document ingestion
    • Legal matter management data
    • eDiscovery datasets
    • External regulatory and compliance feeds
  • Establish scalable ingestion frameworks (batch and streaming) for structured and unstructured legal data (PDFs, contracts, emails)
2. Data Engineering & Integration
  • Lead development of ETL/ELT pipelines using Databricks, Spark, and Python/SQL
  • Integrate with enterprise platforms, including:
    • Contract lifecycle management systems
    • AI platforms and LLM pipelines
    • Document repositories and enterprise content systems
  • Design patterns for extracting structured data from unstructured legal documents and persisting into Delta Lake
  • Enable downstream integration with enterprise data platforms, analytics tools, and AI/ML pipelines
3. Governance, Security & Compliance
  • Implement data governance frameworks using Databricks Unity Catalog and AWS-native controls (IAM, KMS)
  • Establish:
    • Fine-grained access controls (row/column-level security)
    • Data lineage and auditability
  • Ensure compliance with:
    • Data privacy regulations (e.g., GDPR)
    • Internal security and audit requirements
  • Partner with IAM teams to integrate with enterprise identity providers (e.g., Entra ID / Azure AD)
4. AI/ML & Advanced Analytics Enablement
  • Architect data models supporting:
    • Contract analytics, clause extraction, and obligation tracking
    • Legal AI use cases (contract review, litigation insights, compliance monitoring, legal spend analytics)
  • Design search and retrieval architectures (RAG) for enterprise legal knowledge bases
  • Enable entity extraction and knowledge graph frameworks
  • Integrate with LLM/GenAI platforms to support capabilities such as document summarization, Q&A, and workflow automation
5. DevOps & Platform Operations
  • Establish CI/CD pipelines and infrastructure-as-code (Terraform, Git-based workflows)
  • Define standards for:
    • Code quality and versioning
    • Environment promotion (Dev / QA / Prod)
  • Implement observability and alerting for platform health and reliability
6. Leadership & Stakeholder Engagement
  • Partner with Legal and Technology leadership to define platform roadmap and priorities
  • Provide architectural governance and design oversight
  • Mentor data engineers and platform teams
  • Translate business and legal requirements into scalable, enterprise-grade solutions
  • Operate within a federated data and platform model, collaborating across engineering, security, and domain teams
What We Value
The skills that will help you succeed in this role include:
  • 10+ years of experience in data architecture, engineering, or analytics platforms
  • 5+ years of hands-on experience with Databricks and Apache Spark
  • Strong experience with AWS-based data platforms
  • Expertise in data governance, security, and compliance in regulated environments
  • Experience working with unstructured data and NLP/document processing pipelines
Education & Preferred Qualifications
Education
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline
  • Relevant certifications strongly preferred:
    • Databricks Certified Data Engineer / Architect
    • AWS Certified Solutions Architect (Associate or Professional)
Preferred Qualifications (Core - Databricks, AWS, Data Lakehouse)
  • Strong hands-on experience with the Databricks Lakehouse platform, including Delta Lake, Unity Catalog, Workflows, and MLflow
  • Deep expertise in AWS data platform services, including S3, Glue, EMR, Lambda, Redshift, and IAM
  • Proven experience architecting and delivering enterprise-scale data lakehouse solutions on AWS using Databricks
  • Advanced proficiency in Apache Spark (PySpark/Scala), SQL, and Python
  • Strong understanding of data governance and security, including access controls, metadata management, and encryption (KMS, CMK/BYOK)
  • Experience building end-to-end data pipelines (batch and streaming) and supporting AI/ML workloads within a lakehouse architecture
Nice to Have (Domain & Industry Experience)
  • Experience in Legal, Compliance, Financial Services, or other regulated industries
  • Understanding of legal data constructs, including contracts, clauses, obligations, and matters
  • Experience supporting legal AI use cases (contract analytics, document summarization, compliance monitoring)
  • Experience handling sensitive data in highly regulated, audit-driven environments

Salary Range:
$120,000 - $202,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

State Street logo

About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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