> Markdown version of [/jobs/ext/3102424-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/3102424-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Data Engineer

- **Company:** OPEN QUEUE LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $145,600.0
- **Contract:** Temporary to permanent
- **Skills:** Data Analysis, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Warehousing, Relational Databases, DevOps, Distributed Computing Environment, Graph Database, Python (Programming Language), Machine Learning, Cloud Services, SQL Databases, Unstructured Data, Feature Engineering, Database Performance, Git, Data Layers, Pandas, Pyspark, Information Technology, Search Engines, Data Management, Machine Learning Operations, Streamlit Framework, Marketplace, Software Version Control, Data Pipelines, Databricks
- **Published:** September 27, 2026
- **Apply:** https://www.careerjet.com/jobad/us59d93f4c9649ba794fd1145f65dbdf7d

## About the Role

Minimum Qualifications/Requirements Bachelor's degree in Computer Science, Engineering, or related field 5+ years of experience in data engineering, ETL development, or a related role Proficiency in SQL and Python, including Pandas, PySpark, and Python functions Experience with cloud data platforms (e.g., Databricks Unity Catalog) and pipeline orchestration tools (e.g. dbt) Demonstrated experience with data modeling, feature engineering, and building transforms for ML feature stores Strong understanding of data modeling, warehousing concepts, and relational databases

## Description

Title: Senior Data Engineer Location: Miramar, FL Duration: 12 months Compensation: $65-$70/hr Work Requirements: , Holders or Authorized to Work in the U.S.
Overview The Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure that power analytics, machine learning, and business intelligence initiatives. Working closely with Data Scientists, analysts, and business stakeholders, this role ensures that high-quality, reliable data is accessible across the organization to support pricing optimization, model experimentation, and strategic decision-making. A key focus of this role is accelerating feature store expansion through robust data modeling, pipeline development, and feature engineering, while contributing to pricing semantic and ontology frameworks that drive consistency across the data ecosystem., * Design, build, and maintain robust real-time and batch data pipelines to ingest, transform, and deliver structured, semi-structured, and unstructured data from multiple sources

 * Develop and manage metadata-driven, real-time streaming pipelines and distributed data processing workflows at scale
 * Build and expand the feature store through data modeling, pipeline development, feature building, and data transforms that accelerate ML model readiness
 * Contribute to the design and build of pricing semantic layers, ontologies, and knowledge graphs to ensure consistent, reusable data definitions across the organization
 * Support Data Marketplace development, enabling teams to discover, access, and share data products across the organization
 * Develop cognitive search engine capabilities and support Data Syndication to distribute data across internal and external consumers
 * Build and expand the feature store through data modeling, pipeline development, feature building, and data transforms
 * Build data applications and support writeback capabilities that enable business users to interact with and act on data directly
 * Optimize database performance and query efficiency to support large-scale analytics workloads
 * Partner with cross-functional teams to understand data needs and translate them into scalable engineering solutions, Preferred Skills Experience with data quality frameworks such as Great Expectations and Databricks Delta Sharing Working knowledge of Semantic Engineering, flexible data modeling, and ontology design (OWL, knowledge graphs) Familiarity with Data Governance frameworks, Master Data Management practices, and Data Migration methodologies Experience building pricing semantic layers or data ontologies to standardize business definitions across teams App building skills are a strong plus - experience developing data apps, dashboards, or writeback solutions (e.g., Streamlit, Hex, or similar tools) Experience supporting ML pipelines and working alongside Data Science teams Knowledge of DevOps practices including CI/CD and version control (Git) Strong communication skills and ability to work across technical and business teams Attention to detail and commitment to data accuracy and integrity
About OpenKyber Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. OpenKyber provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, OpenKyber complies with applicable state and local laws governing nondiscrimination in employment in every location in which the
company has facilities.
For applications and inquiries, contact:hirings@openkyber.com


## Related Videos

- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology)
- [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)