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Associate Data Engineer Jobs in Gloucester, MA (NOW HIRING)

Deloitte

Senior Forward Deployed Engineer- AWS

Boston, MA

$113K - $155K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Lead Forward Deployed Engineer - AWS

Boston, MA · On-site

$111K - $146K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Forward Deployed Engineer- AWS

Boston, MA

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

NorthEastern

Associate AI Engineer

Boston, MA

About the Opportunity JOB SUMMARY The Associate AI Engineer will be responsible for designing ... Data Pipeline Engineering: Extensive experience with end-to-end data pipelines, data warehousing ...

Pwc

AI Engineer

Boston, MA · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... As an Associate, you will focus on learning and contributing to projects while developing your ...

GEI Consultants

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Wakefield, MA · On-site

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ...

Zelis

Director, Data Platforms and Tooling

Boston, MA · On-site

Every associate is expected - and empowered - to partner with AI to challenge the status quo ... Snowflake platform engineering and scalability, foundational tooling, CI/CD and DevOps for data ...

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Showing results 21-40

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Gloucester, MA

Associate Data Engineer information

See Gloucester, MA salary details

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How much do associate data engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for associate data engineer in Gloucester, MA is $20.75, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.12 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What cities near Gloucester, MA are hiring for Associate Data Engineer jobs?

Cities near Gloucester, MA with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you

Senior Data Lakehouse Architect (Databricks), Vice President

State Street Corporation

Quincy, MA • On-site

$70.75 - $94.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Key responsibilities

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

  • Lead development of ETL/ELT pipelines and integrate data from various enterprise systems.

  • Establish data governance, security, and compliance frameworks to support legal operations and analytics.

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

Social media

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