ZipRecruiter

Log In

1

Cybersecurity Data Engineer Jobs in Springfield, MA

Dahl Consulting

Databricks Architect/Admin

Hartford, CT · On-site

$50 - $62/hr

You'll collaborate closely with data engineering, analytics, infrastructure/cloud engineering, and ... Collaborate with cybersecurity on platform hardening (e.g., secrets management, network isolation ...

ABB

Senior Project Engineer

Bloomfield, CT · Remote

$98K - $128K/yr

... cybersecurity policies and standards. The work model for this role is: Remote {#LI-Remote} This ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

Deloitte

CyberArk Senior Consultant

Hartford, CT · On-site

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity ... Bachelor's degree in computer science , Engineering, Information Technology, Data Science, Applied ...

The Hartford

AVP, Software Engineering Lead

Hartford, CT · On-site +1

$255K/yr

Partner with Data & AI, Risk, Legal, Compliance, Cybersecurity, and Architecture teams to ensure AI engineering solutions meet enterprise governance and regulatory expectations. * Implement required ...

The Whiteside Agency

IAM Operations Engineer

Hartford, CT · Remote

$126K - $208K/yr

Identity and Access Management (IAM) team within Travelers Cybersecurity organization is seeking ... data provisioning, SSO certificates renewal. * Provide production support for Identity Management ...

next page

Showing results 1-20

All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Springfield, MA

Cybersecurity Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do cybersecurity data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for cybersecurity data engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

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

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.
What are popular job titles related to Cybersecurity Data Engineer jobs in Springfield, MA? For Cybersecurity Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Springfield, MA look for? The top searched job categories for Cybersecurity Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Cybersecurity Data Engineer jobs? Cities near Springfield, MA with the most Cybersecurity Data Engineer job openings:
Cybersecurity Data Engineer jobs near you
Databricks Architect/Admin

Databricks Architect/Admin

Dahl Consulting

Hartford, CT • On-site

$50 - $62/hr

Other

Posted 8 days ago

Key responsibilities

  • Architect and govern the enterprise Databricks environment, including workspace topology, Unity Catalog design, and access control frameworks.

  • Build and maintain automation using Bash and Python for monitoring, log aggregation, maintenance tasks, and operational workflows.

  • Collaborate closely with data engineering, analytics, infrastructure/cloud engineering, and security teams to ensure the platform is cost-effective, secure, and built for enterprise performance.

Job description

Job Description
Title: Databricks Architect/Admin
Location: Hartford, CT (Hybrid)
Job Type: Contract-to-Hire (6 Month Contract period)
Compensation: $50 -62 p/h
Industry: Insurance & Financial Services
---
About the Role
Our client is a well-established, highly regulated organization in the insurance and financial services space, operating at enterprise scale and investing heavily in modern data and analytics capabilities. They are seeking a senior Databricks Architect/Admin to act as a hands-on technical consultant for their Databricks platform-focused on platform governance, pipeline architecture, automation, and usage/cost forecasting.
This is not an end-to-end people management role. You'll partner with an existing Databricks team (including a lead) and provide deep expertise to strengthen platform reliability, scalability, and operational efficiency across a multi-platform data ecosystem. Job Description
In this role, you will serve as the technical authority across the Databricks environment-driving architectural standards, governance, automation, compute strategy, and platform optimization. You'll collaborate closely with data engineering, analytics, infrastructure/cloud engineering, and security teams to ensure the platform is cost-effective, secure, and built for enterprise performance. A strong Unix/Linux systems administration background is essential, as you'll engage directly with the underlying compute infrastructure, automation, and diagnostics that support Databricks operations.
What you'll do:
  • Architect and govern the enterprise Databricks environment, including workspace topology, Unity Catalog design, and access control frameworks.
  • Define and enforce standards for clusters/compute, including runtime versioning, instance pools, autoscaling policies, and SQL warehouse practices.
  • Design scalable and performant data pipeline patterns using Delta Live Tables, Databricks Workflows, and structured streaming.
  • Establish Delta Lake standards, including partitioning strategies, Z-ordering, and OPTIMIZE/VACUUM scheduling.
  • Lead integration design with upstream ingestion/ETL tools (including Fivetran and Ab Initio) to ensure reliable, governed data delivery.
  • Administer and troubleshoot Unix/Linux environments supporting Databricks compute, init scripts, and cluster lifecycle management.
  • Build and maintain automation using Bash and Python for monitoring, log aggregation, maintenance tasks, and operational workflows.
  • Support compute-level diagnostics and tuning (e.g., EC2/VM-level troubleshooting) in partnership with cloud/infrastructure teams.
  • Own DBU consumption tracking and reporting, proactively identifying opportunities to optimize job performance and platform costs.
  • Implement cost attribution models to enable chargeback/showback reporting across teams or business units.
  • Partner on capacity planning, contract utilization forecasting, and long-range commitment management.
  • Design and implement governance practices within Unity Catalog (e.g., lineage, tagging, auditing) and support compliance requirements.
  • Collaborate with cybersecurity on platform hardening (e.g., secrets management, network isolation, encryption, and auditing).
  • Design automation frameworks for platform operations (job scheduling, alerting, self-healing workflows, and reliability improvements).
  • Support ML/AI enablement on Databricks (e.g., MLflow, AutoML, Model Serving) and evaluate emerging capabilities, including GenAI/LLM workflows.
  • Serve as an escalation point for Databricks platform issues, contributing to incident/change management via ServiceNow and delivery tracking via Jira.
  • Maintain platform documentation including runbooks, architectural diagrams, standards, and onboarding materials.
Qualifications
Required Qualifications
  • 7+ years in data engineering, data platform, or related roles, including 4+ years hands-on Databricks implementation experience.
  • Deep expertise in Databricks platform capabilities, including: Unity Catalog, Delta Lake, Databricks Workflows, Delta Live Tables, and SQL Warehouses.
  • Strong Unix/Linux proficiency (shell scripting, process management, file systems, permissions, cron scheduling, environment configuration).
  • Proficiency in Python and PySpark for distributed processing, pipeline development, and platform automation.
  • Experience with cloud infrastructure (AWS, Azure, or GCP) including compute, storage, networking, and IAM/security concepts.
  • Proven ability to design platforms for scale, cost efficiency, reliability, and operational excellence in an enterprise environment.
  • Experience building automation frameworks for platform operations (orchestration, monitoring, alerting, and self-healing pipelines).
  • Familiarity with Databricks ML/AI tooling (MLflow, AutoML, Model Serving); exposure to generative AI/LLM-integrated workflows is a plus.
  • Experience with Oracle environments (SQL development, schema concepts, extraction/integration patterns).
  • Strong experience with Git-based version control and CI/CD practices (branching, PR workflows, repository management, pipeline integration).
  • Working knowledge of ITSM and delivery tools such as ServiceNow and Jira.
  • Strong communication skills-able to translate complex architecture into clear guidance for technical and non-technical stakeholders.
Preferred Qualifications
  • Hands-on experience with MLflow experiment tracking, model registry, and deployment patterns in Databricks.
  • Exposure to GenAI frameworks (e.g., LangChain, LlamaIndex) or building RAG/LLM-integrated data pipelines.
  • Experience with enterprise-scale orchestration tools (e.g., Apache Airflow, Databricks Workflows, or similar).
  • Experience integrating Databricks with Fivetran and/or Ab Initio (Ab Initio development/admin experience is a strong plus).
  • Familiarity with enterprise catalog/governance tools and frameworks (e.g., Collibra, Alation, or advanced Unity Catalog features).
  • Experience supporting data platforms in regulated industries with audit/compliance requirements (insurance or financial services preferred).
  • Working knowledge of Infrastructure-as-Code tooling (e.g., Terraform, Ansible) for provisioning and configuration management.
  • Background in disaster recovery and resiliency planning for cloud-hosted data platforms.
Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family's needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/. How to Apply
Take the first step on your new career path!To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we've reviewed your application details, a recruiter will reach out to you with next steps! Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
#LI-CF1
#LI-Hybrid
Dahl Consulting is proud to offer a comprehensive benefits package to eligible contract employees that will allow you to choose the best coverage to meet your family's needs. For details, please review our Benefits Summary: www.dahlconsulting.com/benefits-w2fta.
Dahl Consulting is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other applicable legally protected characteristics.
Review DAHL & earn up to $100 | www.dahlconsulting.com/review-us
Refer a friend for rewards | www.dahlconsulting.com/careers/refer-a-friend

Apply