Senior Data Engineer

QGenda • Atlanta, GA

13d • Hybrid

About The Position

As a Senior Data Engineer, you will design, build, and optimize the data platform, including pipelines, models, and infrastructure that power analytics, reporting, and data-driven decision making across the QGenda product lines. You will serve as a technical leader with the team, contributing to architectural direction, driving best practices, and supporting complex data initiatives. This role requires deep technical expertise, strong cross-functional collaboration, and the ability to deliver scalable, high-performing data systems that meet evolving business needs.

Requirements

• 5-7+ years in data engineering/analytics engineering, or related field
• Bachelor’s degree specializing in computing, data engineering, or related discipline
• Expertise in distributed data processing, data modeling, and performance tuning
• Strong proficiency in SQL and Python
• Experience with modern data stack components, such as: Cloud: AWS, GCP, Azure
• Warehouses: Snowflake, Redshift, BigQuery, etc.
• Orchestration: Airflow, MWAA, Composer, etc.
• Transformation: dbt, etc.
• Observability: data lineage/monitoring tools
• BI: Looker, Tableau, Power BI, etc.
• DevOps: Git, CI/CD, Terraform/CloudFormation
• Exceptional analytical, problem solving, and debugging skills
• Strong communication with the ability to simplify and articulate technical concepts
• Ability to work collaboratively, influence architecture, and take ownership of deliverables
• Commitment to quality, reliability, and continuous improvement
• Applicants for this position must be authorized to work for any employer in the United States (U.S.), including being located in the US. We are unable to sponsor, take over sponsorship of, or hire candidates with an employment visa at this time.

Nice To Haves

• Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven analytics
• Experience with Glue, Dataflow

Responsibilities

• Architect, develop, test, and maintain ELT/ETL pipelines and data workflows supporting high-volume analytics
• Implement advanced data processing solutions and observability techniques to ensure data is accurate, fresh, and reliable
• Design and refine data models and semantic layers that support analytical self-service and advanced reporting.
• Build data visualizations and dashboards supporting analytics use cases
• Translate complex business and analytics requirements into efficient, scalable data solutions
• Apply best practices for version control, documentation, CI/CD, Infrastructure as Code, and data governance
• Participate in code reviews, identify opportunities for architectural improvement,, and contribute to continuous improvement efforts
• Partner with data engineers, DBAs, managers, and business stakeholders to deliver high-impact data products
• Provide technical guidance, informal mentorship, and support to other engineers in order to elevate team capabilities
• Communicate technical decisions, risks, and recommendations to both technical and non-technical audiences
• Optimize data pipelines and warehouse performance for speed, cost, and scalability
• Evaluate, prototype, and influence adoption of new tools, frameworks, and architectural patterns that enhance the data platform
• Contribute to data observability, incident response, and root-cause analysis for complex data issues
• Design and deliver AI-ready data products, ensuring data structures, metadata, and pipelines are suitable for natural language processing, predictive analytics, and other AI-driven capabilities

Benefits

• Fully company-paid options for medical (both in-person and virtual), dental and vision insurance
• Generous paid time off (PTO) policy to enjoy periods of uninterrupted rest and relaxation for a healthy work/life balance
• Paid parental leave for birth, adoption or permanent placement
• 401(k) with company match
• Options to work in a hybrid-working model or remotely from home, depending on the position
• Annual Costco membership, cell phone stipend, commuter benefits, in-office perks and more

What This Job Offers

• Job Type: Full-time
• Career Level: Senior