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Data Engineer

BELAY - CorporateAtlanta, GA

$110,000 - $150,000 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Remote
Compensation
$110,000-$150,000/year
Benefits
Career Development

Job Description

MUST RESIDE IN THE ATLANTA, GA AREA      Work at Home Opportunity

Data Engineer - Full-time 

BELAY is a growing and vibrant, Atlanta, GA-based company that offers virtual staffing solutions in the areas of Virtual Assistants, Marketing Assistants, and Financial Specialists. We are a fast-paced team of high performers that work extremely hard but also know how to have a great time. Culture is a top priority and our values are lived out daily.Who is BELAY? Click here and enjoy!Below are the position requirements.

Job purpose  

The Data Engineer will play a critical role in designing and maintaining Belay’s modern data stack. This role is responsible for building reliable, scalable data pipelines, optimizing warehouse performance, and implementing robust orchestration frameworks.

The ideal candidate is highly technical, systems-minded, and experienced in Snowflake-centric environments with strong PostgreSQL and data orchestration expertise. You should be comfortable owning data infrastructure end-to-end and partnering cross-functionally with analytics, finance, and engineering teams.

Duties and responsibilities

As a BELAY Corporate Team member, you will professionally represent the company in all virtual and in-person interactions. You are expected to exemplify our mission, vision and core values daily, fostering a collaborative and positive team environment.

Key Responsibilities

Data Architecture & Engineering

  • Design, build, and maintain scalable ELT/ETL pipelines
  • Develop and optimize data models in Snowflake/PostgreSQL
  • Ensure data reliability, integrity, and performance across the platform
  • Implement best practices for data warehousing and pipeline efficiency

Orchestration & Workflow Management

  • Build and manage workflows using Apache Airflow/Dagster
  • Design robust orchestration frameworks for batch and near-real-time pipelines
  • Monitor pipeline health and implement proactive alerting
  • Troubleshoot and resolve data pipeline failures quickly

Database Management

  • Work extensively with Snowflake and PostgreSQL for source systems and operational workloads
  • Optimize queries and database performance
  • Design and maintain data ingestion patterns from Postgres to Snowflake

Performance & Scalability

  • Tune Snowflake workloads for cost and performance efficiency
  • Implement partitioning, clustering, and workload management strategies
  • Continuously improve pipeline speed and reliability

Collaboration & Strategy

  • Partner with analytics, finance, and product teams to support reporting needs
  • Translate business requirements into scalable data solutions
  • Mentor junior data engineers and promote best practices
  • Contribute to the long-term data architecture roadmap

Qualifications

This role requires a motivated and trustworthy self-starter with strong communication and technological skills who thrives both independently and on a team. Our ideal corporate team member is flexible, creative, well-organized and ready to roll up their sleeves to get the job done!

Required Qualifications

  • 5+ years of experience in data engineering or related field
  • Strong hands-on experience with Snowflake
  • Strong experience with PostgreSQL
  • Proven expertise with Apache Airflow or Dagster and workflow orchestration
  • Experience building and maintaining modern ELT/ETL pipelines
  • Advanced SQL skills and strong data modeling experience
  • Experience with orchestration and pipeline monitoring best practices
  • Familiarity with cloud data architectures (AWS, GCP, or Azure)
  • Strong problem-solving and performance tuning skills
  • Excellent communication and documentation abilities

Preferred Qualifications

  • Experience with dbt or similar transformation frameworks
  • Experience with real-time or streaming pipelines
  • Infrastructure-as-code experience (Terraform or similar)
  • Experience supporting finance or operational analytics teams
  • Background in high-growth or services-based companies

Working conditions

BELAY Corporate offers full-time remote work, requiring a dedicated, distraction-free home office for standard Monday-Friday business hours, with occasional travel for some roles. As a full-time/part-time, exempt/non-exempt W-2 employee, you'll join a vibrant, award-winning company culture where you're a valued, engaged team player in a thriving organization.

Physical requirements

This position does not have any physical requirements at this time.

Salary Range

$110,000 - $150,000 

DISCLAIMER: We’ve recently seen job postings claiming to be from BELAY that aren’t affiliated with our company. Please be sure to only apply to our positions on https://belaysolutions.com/jobs/ and only reply to emails ending in @belaysolutions.com. 

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FAQs About Data Engineer Jobs at BELAY - Corporate

What is the work location for this position at BELAY - Corporate?
This job at BELAY - Corporate is located in Atlanta, GA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at BELAY - Corporate?
Candidates can expect a pay range of $110,000 and $150,000 per year.
What employment applies to this position at BELAY - Corporate?
BELAY - Corporate lists this role as a Full-time position.
What experience level is required for this role at BELAY - Corporate?
BELAY - Corporate is looking for a candidate with "Senior-level" experience level.
Does BELAY - Corporate allow remote work for this role?
Yes, this position at BELAY - Corporate supports remote work, giving candidates the flexibility to work outside the primary office location.
What is the process to apply for this position at BELAY - Corporate?
You can apply for this role at BELAY - Corporate either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.