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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer (HYBRID) - **Company:** Equinox, Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $145,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Code Review, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Dataspaces, Data Systems, Data Warehousing, Database Queries, Digital Assets, Dimensional Modeling, Amazon DynamoDB, Python (Programming Language), Scrum Methodology, Redis, SQL Databases, Unstructured Data, System Availability, Grafana, Electronic Medical Records, Git, Data Lineage, Functional Programming, Data Pipelines - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=22216c34e7397891 ## About the Role * 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus) * Expertise in designing and implementing enterprise data warehouses, including star schemas and dimensional modeling techniques * Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets; python proficiency is a strong plus * Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis * Familiarity with dbt Labs and modern ELT/analytics engineering practices * Experience working with structured, semi-structured, and unstructured data * Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust * Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams * A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment ## Description Equinox is seeking a Sr. Data Engineer to join our technology team. This hands-on role will build and continuously evolve the data platform, business applications, and integration tools. You will play a pivotal role in shaping our data strategy; ensuring scalability, reliability and secure solutions. The ideal candidate is going to be a hands-on engineer, with strong knowledge of AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools., * Design, implement, and maintain scalable data architecture, pipelines and modeling strategies that power our enterprise data warehouse on AWS * Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics * Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure * Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data * Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions * Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models * Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets * Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt) * Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices * Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process * Promote reusable patterns, modular designs, and automation where possible to ensure long-term scalability * Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation ## 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) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [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) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client](https://www.wearedevelopers.com/videos/100311-swapping-a-data-warehouse-at-runtime-zero-downtime-migration-without-changing-a-single-client) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)