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Data Engineer With Jobs in Massachusetts (NOW HIRING)

Data Engineer with AI - Remote

Boston, MA ยท On-site +1

$124K - $149K/yr

Implement data models (Bronze/Silver/Gold), optimize with partitioning, Z-ORDER, and indexing, and manage reliability (DLT/Jobs, monitoring, alerting). * Enable ML/AI: feature engineering, MLflow ...

Azure Data Engineer

Wilmington, MA ยท On-site

$125K - $150K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be ... The ideal candidate will bring strong expertise in SQL, Python, and Azure cloud services, with a ...

Senior Data Engineer with strong Azure

Woburn, MA ยท On-site

$115K - $157K/yr

plaintext JOB SUMMARY Senior Data Engineer with strong Azure Key Responsibilities Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning. * Design, build, and maintain scalable data pipelines ...

SIEM Data Engineer

Quincy, MA ยท On-site

$45 - $50/hr

for SIEM Data Engineer Position Who we are looking for: Cyber Data & Analytics team is looking for ... Collaborate with cross-functional teams to understand data integration requirements and design ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Collaborate with data scientists, analytics engineers, and business partners to understand data needs and deliver scalable solutions. * Assist in the integration of AI and machine learning solutions ...

New

Data Engineer

Boston, MA

$124K - $149K/yr

You will help bridge enterprise data systems with LLM-based interfaces that support self-service ... Partner with AI/ML engineers to enable LLM-powered data access. * Contribute to AI-native data ...

Data Engineer

Boston, MA

$124K - $149K/yr

Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products. * Apply cloud security and identity management best practices across the ...

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our ... We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive ...

New

Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... The role focuses on operationalizing pipelines with governance and service expectations (SLAs ...

Data Engineer

Wakefield, MA ยท On-site

$120K - $145K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Data Engineer

Wakefield, MA ยท On-site

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

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Data Engineer With information

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Massachusetts? For Data Engineer With jobs in Massachusetts, the most frequently searched job titles are:

Data Engineer with AI - Remote

Lorven Technologies

Boston, MA โ€ข On-site, Remote

$124K - $149K/yr

Full-time

Re-posted yesterday


Job description

I hope you are doing well,
Please share your updated profile if you are interested in the below role.
Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement
Job Title: Data Engineer + AI
Work location : Boston, MA
Duration: 12 Months
Job Summary:
We're looking for a Senior Data Engineer to build and scale our lakehouse and AI data pipelines on Databricks. You'll design robust ETL/ELT, enable feature engineering for ML/LLM use cases, and drive best practices for reliability, performance, and cost.
What you'll do
  • Design, build, and maintain batch/streaming pipelines in Python + PySpark on Databricks (Delta Lake, Autoloader, Structured Streaming).
  • Implement data models (Bronze/Silver/Gold), optimize with partitioning, Z-ORDER, and indexing, and manage reliability (DLT/Jobs, monitoring, alerting).
  • Enable ML/AI: feature engineering, MLflow experiment tracking, model registries, and model/feature serving; support RAG pipelines (embeddings, vector stores).
  • Establish data quality checks (e.g., Great Expectations), lineage, and governance (Unity Catalog, RBAC).
  • Collaborate with Data Science/ML and Product to productionize models and AI workflows; champion CI/CD and IaC.
  • Troubleshoot performance and cost issues; mentor engineers and set coding standards.

Must-have qualifications
  • 6-10+ years in data engineering with a track record of production pipelines.
  • Expert in Python and PySpark (UDFs, Window functions, Spark SQL, Catalyst basics).
  • Deep hands-on Databricks: Delta Lake, Jobs/Workflows, Structured Streaming, SQL Warehouses; practical tuning and cost optimization.
  • Strong SQL and data modeling (dimensional, medallion, CDC).
  • ML/AI enablement experience: MLflow, feature stores, model deployment/monitoring; familiarity with LLM workflows (embeddings, vectorization, prompt/response logging).
  • Cloud proficiency on AWS/Azure/GCP (object storage, IAM, networking).
  • 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/Databricks Workflows), messaging (Kafka/Kinesis/Event Hubs).
  • Data quality & lineage tools (Great Expectations, OpenLineage).
  • Vector DBs (FAISS, pgvector, Pinecone), RAG frameworks (LangChain/LlamaIndex).
  • IaC (Terraform), security/compliance (PII handling, data masking).
  • Experience interfacing with BI tools (Power BI, Tableau, Databricks SQL).

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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