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Analytics Engineer Remote Dbt Jobs in Pennsylvania

Cisco

Senior Software Engineer (Remote)

Philadelphia, PA · Remote

$123K - $163K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

YO AI Labs

GPU Programmer - Remote

Philadelphia, PA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze performance bottlenecks and implement optimization strategies. Required Qualifications

Flagship Carwash

Jr. Project Engineer - Remote

Wayne, PA · On-site +1

$62K - $80K/yr

Project Engineer FLSA STATUS: Exempt JOB STATUS: Full Time LOCATION: Corporate Support REPORTS TO ... Analytical mindset with attention to detail and ability to interpret technical reports * Effective ...

Spotless Brands

Jr. Project Engineer - Remote

Wayne, PA · On-site +1

$62K - $80K/yr

Project Engineer FLSA STATUS: Exempt JOB STATUS: Full Time LOCATION: Corporate Support REPORTS TO ... Analytical mindset with attention to detail and ability to interpret technical reports * Effective ...

Novovu

Familiar with the software development life cycle (SDLC) from analysis to deployment. * Comply with coding standards and technical design. * Believes in systematic approach to developing the system ...

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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 Pennsylvania?

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

What job categories do people searching Analytics Engineer Remote Dbt jobs in Pennsylvania look for?

The top searched job categories for Analytics Engineer Remote Dbt jobs in Pennsylvania are:

Analytics Engineer Remote Dbt jobs near you

Analytics Engineer - Enterprise Analytics

Harrisburg, PA • Remote

D&H
Traveler Accommodation • 51 - 200 employees
Learn more about D&Hexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

Analytics Engineer - Enterprise Analytics

This is a fully remote position.

D&H is growing!  Join 100+ year old Employee-Owned technology distributor, offering end-to-end solutions for today's resellers, retailers, and the clients they serve across the SMB and Consumer markets.

  • We are empowered by our employee Co-Owners who provide the industry's best service, and we promote a collaborative culture.
  • We offer an Employee Stock Ownership Plan, 401k, Paid Time Off, Medical, Prescription, Dental and Vision benefits as well as Gym Reimbursement, Work from Home Reimbursement, Employee Purchase Program, Tuition Assistance and much more!
  • As a D&H Co-Owner you receive numerous discounts on services.
  • We feel strongly about giving back to the community and promoting sustainable, eco-friendly business practices.

 

Summary:

We are seeking an Analytics Engineer - Enterprise Analytics for our Data Science & Insights Department. This position is responsible for developing, optimizing, and governing reporting and planning solutions within SAP Analytics Cloud (SAC). This role supports enterprise dashboard initiatives, planning models, and governed self-service analytics. The Analytics Engineer partners closely with the Analytics Systems Lead to ensure SAC solutions are scalable, secure, and aligned to enterprise data standards and semantic models.

Responsibilities:

  • Designs, builds, and maintains dashboards, stories, and analytic applications within SAP Analytics Cloud.
  • Develops SAC data models that align to certified enterprise datasets and semantic standards.
  • Supports planning and performance management use cases where applicable.
  • Implements role-based access controls and adhere to defined security models.
  • Collaborates with SAP BDC/Datasphere and Data Engineering teams to ensure reliable data connectivity.
  • Optimizes SAC performance, data refresh strategies, and model efficiency.
  • Supports transport, lifecycle management, and controlled content deployment processes.
  • Contributes to documentation, standards, and best practices for SAC development.
  • Assists in troubleshooting production issues and participate in platform support processes.

Requirements:

  • Bachelor's degree in Information Systems, Data Analytics, Finance Systems, or related field required.
  • 3-6 years of experience in analytics engineering, BI development, or enterprise reporting roles required.
  • Hands-on experience developing in SAP Analytics Cloud (Stories, Models, Planning, or Applications) required. Experience integrating SAC with SAP Datasphere or other SAP data sources preferred.
  • Strong understanding of data modeling concepts and semantic layer principles and working knowledge of SQL and relational data concepts required.
  • Experience implementing role-based access and governance within analytics platforms required.
  • Strong collaboration skills across technical and business teams and the ability to translate business requirements into scalable analytic solutions required.
  • Exposure to enterprise planning or financial performance management workflows, familiarity with Tableau or Power BI environments and experience working in modernization or platform transition initiatives preferred.

EOE

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