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Contract Databricks Developer Jobs in Massachusetts

3B Staffing LLC

Sr Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

... Databricks, or Azure SQL. * Strong ETL/ELT & Data Architecture Skills - Proven ability to design ... Woburn, MA - ONSITE 5 days a week Duration: 6 month contract Job Details: * Develop and maintain ...

Stellar IT Group

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

... Contract Position Summary We are seeking a highly motivated Azure Data Engineer with 7-9 years of ... Continuously learn and apply emerging Azure technologies (Databricks, Fabric, Power BI) to improve ...

Biogen

Manager, IT Data Integration Lead

Cambridge, MA · On-site

Coordinate with vendor and contract delivery partners (e.g., offshore data engineering teams) to ... Handson experience querying or validating data using SQL and/or Databricks notebooks. * Strong ...

Harley Ellis Devereaux

AI Platform Engineer

Boston, MA · On-site

$120K - $170K/yr

Treat data inputs/outputs as contracts--versioned, traceable, testable--and implement validation at ... Databricks/lakehouse + medallion familiarity; experience implementing governance/audit requirements;

Biogen

Manager, IT Data Integration Lead

Cambridge, MA · On-site

Coordinate with vendor and contract delivery partners (e.g., offshore data engineering teams) to ... Hands-on experience querying or validating data using SQL and/or Databricks notebooks. * Strong ...

3B Staffing LLC

Data Scientist in retail

Quincy, MA · Remote

Quincy, MA or Chicago office. 6 months contract to hire Video interview * Strong with Python as a ... Databricks - Strong good to have * The team supports customer segmentation and modeling work. They ...

3B Staffing LLC

Data Scientist in retail

Quincy, MA · Remote

Quincy, MA or Chicago office. 6 months contract to hire Video interview * Strong with Python as a ... Databricks - Strong good to have * The team supports customer segmentation and modeling work. They ...

Network Designs Inc.

AI Integrator

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.

Sr Data Engineer

3B Staffing LLC

Boston, MA • Hybrid

$124K - $149K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Data Engineer is responsible for building, and operating scalable, secure, and high-performance data platforms that enable analytics, reporting, and AI initiatives. This role leads the development of modern (ETL/ELT) data solutions across Microsoft Fabric and Azure, ensuring enterprise-grade data integration, governance, and performance optimization.

Top Must-Haves:

  • Azure Data Engineering Expertise - 5+ years building production data solutions on Azure, with strong hands-on experience in Microsoft Fabric plus tools like Azure Data Factory, Synapse, Databricks, or Azure SQL.
  • Strong ETL/ELT & Data Architecture Skills - Proven ability to design scalable pipelines and modern data architectures (lakehouse/medallion) supporting structured and unstructured data.
  • Advanced Programming & Data Processing - High proficiency in SQL and Python, plus experience with Spark and data processing frameworks (Pandas, PyArrow, etc.).
  • CI/CD & Data Platform Engineering - Experience implementing CI/CD pipelines, Git workflows, automated deployments, and environment promotion for data platforms.
  • Security & Enterprise Data Controls - Hands-on experience with RBAC, Key Vault, managed identities, and implementing secure, governed data architectures.

Preferred Skills:

  • Microsoft Fabric Certifications - DP-700 (required/expected), plus DP-600 or DP-203.
  • Performance Optimization & Cost Efficiency - Experience with Delta storage, partitioning, columnstore optimization, and query performance tuning.
  • Integration & Hybrid Data Environments - Experience integrating APIs, third-party platforms, and hybrid (on-prem + cloud) systems.
  • Analytics & AI Data Enablement - Experience supporting downstream semantic models and partnering with analytics/AI teams.
  • High-Scale / Regulated Environments - Background working in enterprise, highly regulated, or large-scale data platforms.
  • Leadership & Collaboration - Ability to lead design decisions, mentor junior engineers, and collaborate across technical and business teams in Agile environments.

Title: Sr. Data Engineer

Location: Woburn, MA - ONSITE 5 days a week

Duration: 6 month contract

Job Details:

  • Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
  • Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
  • Build and maintain robust ETL/ELT pipelines using Fabric Pipelines, Azure Data Factory, and Synapse.
  • Implement secure data architectures using Roles-based Access Controls (RBAC), Key Vault, Private Endpoints
  • Integrate data from APIs, third-party platforms, and hybrid (on-prem/cloud) systems.
  • Develop data workflows using Python, SQL, and Spark, selecting appropriate frameworks based on workload characteristics.
  • Drive cost-efficient, low-latency analytics through partition-aligned Delta storage, columnstore-optimized warehouse tables, DirectLake semantic access, and SCD-managed dimensional models, ensuring predicate pushdown, partition elimination, and minimal data movement across the query execution lifecycle.
  • Implement secure data architectures using:
    • RBAC and row/column/object-level security (RLS/CLS/OLS)
    • Azure Key Vault, Private Endpoints, Managed Identities.
  • Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub
  • Establish automated deployment, environment promotion, and testing strategies.
  • Support downstream semantic models and reporting layers by delivering well-modeled, performant, and governed data structures (no report/dashboard development responsibilities).
  • Partner with analytics and AI teams to deliver trusted, production-ready data products.
  • Ensure platform reliability through constraint-driven data validation, fault-tolerant pipeline orchestration, and telemetry-backed observability, enabling anomaly detection, automated alerting, and lineage-driven root cause analysis across distributed data workloads.
  • Lead design decisions and influence enterprise data architecture standards
  • Collaborate with engineers, analysts, and business stakeholders to translate requirements into scalable solutions.
  • Mentor junior engineers and contribute to engineering excellence and knowledge sharing.
  • Operate effectively in Agile delivery environments.

Required Qualifications

  • 8+ years of experience in data, software, or platform engineering.
  • 5+ years building production data solutions on the Microsoft/Azure stack.
  • Strong experience with Microsoft Fabric and at least two of:
    • Azure Data Factory, Synapse, Databricks, Azure SQL, Power BI
  • Advanced proficiency in SQL and Python (delta-rs, PyArrow, Polars, DuckDB, Pandas, and NumPy).
  • Proven experience designing modern data architectures (lakehouse, medallion, etc.).
  • Hands-on experience with CI/CD, Git workflows, and environment promotion.
  • Experience implementing enterprise security, identity, and access controls.
  • Strong troubleshooting, performance tuning, and root cause analysis skills.
  • Experience working in regulated or high-scale environments.

Preferred Qualifications

  • Certifications:
    • DP-700 (Fabric Data Engineer) - required or within 6 months.
    • DP-600,DP-203- preferred.

Apply