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Analytics Engineer Remote Dbt Jobs in Massachusetts

$104K - $169K/yr

This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across ... Excellent design and analytical skills * Creative troubleshooting skills and out-of-the-box ...

Software Engineering, Senior Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Contribute to dbt projects by building modular, scalable, and well-documented transformation ... Contribute to enhancement of data engineering and analytical engineering capabilities across the ...

CUDA Developer - Remote

Boston, MA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Posted today

CUDA Developer - Remote

Boston, MA ยท Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Posted today

Showing results 21-40

Analytics Engineer Remote Dbt information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What are popular job titles related to Analytics Engineer Remote Dbt jobs in Massachusetts?

For Analytics Engineer Remote Dbt jobs in Massachusetts, the most frequently searched job titles are:

What cities in Massachusetts are hiring for Analytics Engineer Remote Dbt jobs?

Cities in Massachusetts with the most Analytics Engineer Remote Dbt job openings:

Senior Information Security Engineer (REMOTE)

thg

Worcester, MA โ€ข Remote

$114K - $156K/yr

Full-time

Re-posted 29 days ago


Job description

We are seeking a highly skilled Senior Information Security Engineer to join our IT Security organization in Worcester, MA or in a remote capacity.

POSITION SUMMARY:

The Senior Security Engineer is a technical leader responsible for the design, implementation, operation, automation, and continuous improvement of enterprise security infrastructure services. This role serves as the subject matter expert for Public Key Infrastructure (PKI), certificate lifecycle management, firewalls, web proxy services, Linux-based security platforms, and network security operations.

The individual will lead strategic initiatives, provide advanced troubleshooting support, develop automation solutions, and partner with infrastructure, networking, cloud, and application teams to ensure secure and resilient enterprise services.

This is a full-time, exempt position.

IN THIS ROLE, YOU WILL:

  • Lead the design, implementation, administration, and optimization of enterprise PKI and certificate management services, ensuring availability, scalability, and compliance with security standards.
  • Own the certificate lifecycle management process, including issuance, renewal, revocation, discovery, monitoring, and remediation of expiring certificates across on-premises and cloud environments.
  • Serve as the technical lead for Firewall services, including architecture, policy management, rule reviews, segmentation strategies, and security hardening.
  • Manage and support enterprise Web Proxy solutions, including policy development, URL filtering, SSL/TLS inspection, access controls, and threat protection capabilities.
  • Provide advanced network and security troubleshooting expertise, identifying and resolving complex connectivity, authentication, routing, DNS, TLS, and application communication issues.
  • Partner with Network Engineering teams to design secure network architectures and implement security controls that align with business and regulatory requirements.
  • Develop and maintain automation solutions using scripting and programming languages such as Python, Bash, PowerShell, or similar technologies to improve operational efficiency and reduce manual processes.
  • Create automated monitoring, alerting, and remediation workflows for security infrastructure platforms and services.
  • Administer and support Linux-based security platforms, ensuring system performance, hardening, patching, vulnerability remediation, and operational stability.
  • Lead security infrastructure projects from planning through implementation, coordinating activities across multiple technical teams and stakeholders.
  • Perform security assessments and configuration reviews to identify risks, vulnerabilities, and opportunities for service improvement.
  • Develop and maintain technical standards, operational procedures, and architecture documentation for PKI, firewalls, proxy services, and Linux environments.
  • Support incident response activities by providing deep technical expertise during security investigations, service outages, and cyber events.
  • Evaluate emerging technologies and security solutions, making recommendations to improve the organization's security posture and operational effectiveness.
  • Implement and maintain security controls supporting regulatory, audit, and compliance requirements.
  • Provide technical leadership and mentorship to junior engineers and operations personnel, promoting best practices and knowledge sharing.
  • Collaborate with cloud, infrastructure, and application teams to integrate security services into enterprise and cloud-native environments.
  • Participate in on-call rotations and escalation support, serving as a senior resource for critical security and infrastructure incidents.

WHAT YOU NEED TO APPLY:ย 

  • Bachelor's degree in Information Technology, Computer Science, Cybersecurity, Engineering, or equivalent experience.
  • 7+ years of experience in Information Security, Network Security, or Infrastructure Engineering roles.
  • Demonstrated expertise in PKI, Certificate Authorities (CA), certificate lifecycle management, and TLS/SSL technologies.
  • Extensive hands-on experience managing enterprise firewall platforms (e.g., Palo Alto, Check Point, Cisco Firepower, Fortinet, or similar).
  • Strong experience supporting Web Proxy technologies such as Zscaler, Blue Coat/Symantec ProxySG, Netskope, or similar platforms.
  • Advanced knowledge of TCP/IP networking, routing, switching, DNS, DHCP, VPNs, load balancing, and network security architecture.
  • Strong expertise with Linux operating systems, including system administration, troubleshooting, performance tuning, and security hardening.
  • Demonstrated experience developing automation using Python, Bash, PowerShell, Ansible, Terraform, or similar technologies.
  • Experience with security monitoring, logging, and event analysis tools.
  • Strong understanding of authentication and authorization technologies including LDAP, Active Directory, Kerberos, SAML, OAuth, and certificate-based authentication.
  • Proven ability to troubleshoot complex, multi-tier application and network issues.
  • Excellent written, verbal, and interpersonal communication skills.
  • Authorization to work in the United States without current or future sponsorship (U.S. citizen or lawful permanent resident).

BONUS POINTS FOR:

  • Industry certifications such as CISSP, GIAC, Security+, CCNP Security, PCNSE, AWS Security Specialty, or equivalent.
  • Experience with cloud security platforms including Microsoft Azure, AWS, and Google Cloud.
  • Knowledge of Infrastructure as Code (IaC) and DevSecOps practices.
  • Experience with enterprise vulnerability management and security compliance programs.
  • Familiarity with container technologies, Kubernetes, and cloud-native security architectures.