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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Axiom - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Digital Assets, Distributed Computing Environment, Python (Programming Language), Machine Learning, Operational Data Store, Role-Based Access Control, SQL Databases, Apache Spark, Technical Debt, Data Layers, Data Lakes, Performance Monitor, Data Pipelines, Databricks - **Published:** June 30, 2026 - **Apply:** https://www.dice.com/job-detail/ba219d8c-52d5-415c-808b-60f7947d42dd ## About the Role * 7+ years of experience in data engineering, analytics engineering, or related data-focused engineering roles. * Strong hands-on experience with Python, SQL, Spark, and distributed data processing. * Production experience with Databricks, Delta Lake, and Lakehouse architecture. * Deep understanding of ETL/ELT design, data modeling, data quality, and scalable pipeline development. * Experience building production-grade data pipelines with reliability, monitoring, SLAs, and operational support in mind. * Ability to design curated datasets, dimensional models, semantic layers, and analytics-ready data products. * Experience supporting analytics, machine learning, data science, and product stakeholders. * Strong communication skills with the ability to clarify business/data requirements and explain technical decisions clearly. * Comfort working in a collaborative, fast-moving, purpose-driven environment. * Must reside in an eligible Eastern Standard Time state. * This role is not eligible for employment visa sponsorship ## Description Join a mission-driven technology organization focused on improving the aging and long-term care experience through modern data, analytics, machine learning, and digital product innovation. This team is building scalable solutions that help individuals, families, and caregivers navigate a historically fragmented care ecosystem with greater clarity, dignity, and support. The environment is collaborative, purpose-driven, and highly cross-functional, bringing together data engineers, analysts, data scientists, ML/AI engineers, and product teams to create reliable data foundations that power meaningful business and customer outcomes., * Design, build, and maintain scalable ETL/ELT pipelines that support analytics, machine learning, and operational data needs. * Develop reliable ingestion frameworks for batch and streaming data sources using Python, SQL, Spark, and Databricks. * Build and maintain data models across raw, curated, semantic, and domain-specific layers using Delta Lake. * Create dimensional models, star schemas, and curated datasets that enable business KPI tracking, reporting, and ML use cases. * Improve pipeline quality through automated testing, data validation, anomaly detection, documentation, monitoring, and alerting. * Partner with analysts, data scientists, ML engineers, product teams, and platform engineers to deliver reusable, high-quality data assets. * Optimize Spark jobs, SQL queries, cluster configurations, and storage patterns for performance, reliability, and cost efficiency. * Apply strong data governance, RBAC, privacy, PII handling, and Unity Catalog best practices across the data ecosystem. * Help raise engineering standards by reducing technical debt, improving repeatability, and mentoring others on modern data engineering practices. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [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) - [How to govern Vibe Coding for the Enterprise](https://www.wearedevelopers.com/videos/100290-how-to-govern-vibe-coding-for-the-enterprise) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)