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Analytics Engineer Remote Dbt Jobs in Georgia (NOW HIRING)

Lead Analytics Engineer

Atlanta, GA ยท On-site +1

$98K - $129K/yr

We are currently searching for a Lead Analytics Engineer: The Challenge (Responsibilities) * Lead ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Engineering of distribution electrical projects through the entire project lifecycle: from ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

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 ...

Senior Transmission Line Engineer - REMOTE

Atlanta, GA ยท Remote

$100K - $138K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... In this role, you will provide seniorlevel technical expertise, lead complex design and analysis ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Reporting to the Engineering Manager, South East Region. This is a remote role but would like the ... Undertaking in-depth analysis/studies of problems, and identifying solutions and preparing reports ...

Senior Software Engineer (Remote)

Atlanta, GA ยท Remote

$117K - $155K/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.

Salesforce Software Engineer (Remote)

Atlanta, GA ยท On-site +1

$133K - $222K/yr

Remote As a Salesforce Software Engineer, you will play a key role in shaping how our U.S ... Conduct root cause analysis on user reported issues and implement timely, scalable resolutions.

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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 cities in Georgia are hiring for Analytics Engineer Remote Dbt jobs?

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

Lead Analytics Engineer

Sequoia Connect

Atlanta, GA โ€ข On-site, Remote

$98K - $129K/yr

Full-time

Posted 19 days ago


Job description

Description
...eligible for the visa application process.At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Lead Analytics Engineer:
The Challenge (Responsibilities)
  • Lead the design and governance of core KPIs, metric definitions, and semantic layers for Our Client.
  • Deliver complex analytical work utilizing advanced SQL, focusing on performance tuning across RDS, Oracle, and Redshift, alongside cost-conscious querying in Athena.
  • Utilize Python to create reproducible analyses, automation scripts, and robust data validation checks.
  • Define data quality expectations, implement automated checks and anomaly detection, and triage resolutions collaboratively with engineering teams.
  • Conduct comprehensive deep-dive analyses, cohorting, funneling, forecasting, and experiment design.
  • Create and maintain Source-to-Target Mapping (STTM) documents through tight coordination with upstream and downstream stakeholders.
  • Improve query performance continuously through sort keys, distribution keys, partitioning, predicate pushdown, and compression awareness.
  • Establish strict version control and peer-review processes for analytics assets, contributing to lightweight CI for SQL and tests.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • Expert-level proficiency in SQL on RDS, Oracle, and Redshift, including deep query tuning and vacuum/analyze awareness.
  • Proven expertise in AWS Athena, specifically regarding partitions, file formats, and cost control strategies.
  • Advanced Business Intelligence (BI) development skills with a strong emphasis on data storytelling and UX best practices for dashboards.
  • Strong Python programming skills focused on analysis, automation, packaging, and the reusability of common analytics functions (light use of pandas, statsmodels, scikit-learn).
  • Solid foundation in statistics tailored for inference and experiment design, with practical application in business contexts.
  • Demonstrated ability to translate complex business needs into robust analytical solutions using collaboration tools like Confluence and Jira.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Experience with advanced modeling tools and the governance of analytics layers.
  • Familiarity with AWS Glue Data Catalog, IAM basics for data access, and S3 file formats (Parquet/ORC).
  • Exposure to event-based data architectures (Kinesis, SNS, SQS) and data freshness SLAs.
  • Ability to build scalable, reusable dashboards and data models in QuickSight or Tableau while enforcing consistency and naming standards.
  • Familiarity with cloud-native foundations or AI coding assistants, such as GitHub Copilot or similar tools for code productivity.

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • This position requires close alignment with various data stakeholders to drive business-critical analytics.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • Expert SQL on RDS/Oracle/Redshift (query tuning, vacuum/analyze awareness) and Athena (partitions, file formats, cost control).
  • Advanced BI development and data storytelling; strong UX best practices for dashboards.
  • Python for analysis and automation; packaging and reusability of common analytics functions.
  • Solid statistics for inference and experiment design; practical application in business contexts.
  • Collaboration tools (Confluence/Jira), stakeholder management, and ability to translate business needs into robust analytical solutions.