---
title: 'Senior Data Engineer at Further'
canonical: 'https://feeny.ai/job/senior-data-engineer-further-cleveland-6ewx26r6njr1'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Data Engineer at Further

- **Company:** Further
- **Location:** Cleveland, OH
- **Posted:** 2026-02-06
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/further/jobs/8406897002

## Job description

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an [award winning culture](https://www.gofurther.com/who-we-are) of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

## SENIOR DATA ENGINEER

We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.

What experience should you have:

- 6+ years of data engineering experience with a focus on modern cloud platforms.
- Expert-level proficiency in Python and SQL is mandatory.
- Strong software engineering background with proficiency in Python for building custom integrations and data tools.
- Deep production experience with dbt for data modeling and Airflow for orchestration.
- Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
- Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
- Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
- Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

## Preferred Qualifications

- Experience architecting feature stores or data pipelines specifically for ML workloads.
- The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
- A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
- An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you’ll be doing in this role:

- Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
- Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
- Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
- Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:

- Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
- Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
- Standardize the organization’s approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our [total rewards program](https://www.gofurther.com/resources/total-rewards) is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our [opportunities](https://www.gofurther.com/resources/join-the-team#current-openings-section)!

#LI-Hybrid

By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights [here](https://cdn.prod.website-files.com/64fb873eb25058d1bc2035d0/6638f40e6683a119a1f85793_Privacy%20Notice%20For%20California%20Resident%20Job%20Applicants.pdf). If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights [here](https://cdn.prod.website-files.com/64fb873eb25058d1bc2035d0/6638f40e77003687bbc2bcbf_Privacy%20Notice%20For%20European%20Job%20Applicants.pdf).

## About Further

## Company Overview
- **One-liner**: Further is a data, cloud, and AI consulting company that helps enterprise organizations turn raw data into confident, insight-driven decisions.
- **Entity Type**: Private (Privately held)
- **Headquarters**: Atlanta, Georgia, United States
- **Founded**: 2004
- **Founders**: Not publicly disclosed

## Core Business
- **Primary industries**: Business Consulting and Services, with a focus on data engineering, cloud infrastructure, AI/ML, analytics, and digital marketing.
- **Target customers**: B2B enterprise – clients include Behr, Verizon, and New York Life; client retention rate exceeds 90%.
- **Mission/purpose**: “To enable people to thrive so that businesses can thrive” – helping enterprise business teams use data, cloud, and AI to grow and work more efficiently. [further.ai](https://further.ai/)

## Products & Services
- **Data Navigator**: An all-encompassing approach to data transformation, covering data strategy, integration, warehousing, and governance.
- **AI Compass**: A comprehensive AI solution to help organizations compete in a rapidly changing world – covers strategy, prototyping, production, and governance.
- **Privacy Copilot**: A solution to chart a safe course through privacy challenges (GDPR, CCPA, SOC 2, HIPAA) while enabling data-driven success.
- **Pathfinder Pro**: A solution for impactful marketing and analytics outcomes – optimization, customer journey analytics, and tech stack optimization.
- **MomentsIQ**: A smart approach to data and AI innovation, helping navigate the digital landscape (likely focused on real-time customer engagement).

Additionally, Further offers services across strategy, data engineering, analytics & experimentation, performance marketing, cloud migration, and data literacy training. [further.ai](https://further.ai/)

## Market Standing
- **Valuation**: Not publicly available (private company).
- **Key Metric**: Annual revenue not disclosed; total funding not disclosed (appears bootstrapped or organically grown).
- **Notable Investors/Partners**: Partners include Google Cloud, and the company holds 60+ certifications/accreditations across multiple cloud partners. Named clients: Behr, Verizon, New York Life. [further.ai](https://further.ai/)
- **Growth Signals**:
  - LinkedIn followers: 7,809 (monthly growth +2.6%)
  - Website monthly visits: 9,176 (monthly growth +13.5%)
  - Active job postings: 34 (monthly growth +21.4%)
  - Client retention rate >90%
  - Offices in Atlanta (HQ), Cleveland, and London (3 offices across 2 countries). [linkedin.com/company/further-ai](https://www.linkedin.com/company/further-ai)

## Competitive Advantages
- **Integrated approach**: Provides end-to-end services from strategy to engineering to enablement, ensuring technology investments translate into business transformation.
- **Deep expertise across cloud, data, AI, and privacy** – all under one roof, reducing handoff friction.
- **High client retention (>90%)** indicates strong delivery and long-term partnerships.
- **60+ certifications and accreditations** across cloud partners (especially Google Cloud) and compliance frameworks (SOC 2, HIPAA, GDPR).
- **Focus on proprietary platforms** (e.g., AI Compass, Privacy Copilot) alongside consulting, giving them productized accelerators.

## Strategic Focus
- Current priorities include scaling AI in the enterprise, building “AI-powered platforms” (as seen in product names), and helping clients move from experimentation to production-grade AI.
- Emphasizes data governance, privacy, and ethical AI as differentiators.
- Investing in own commercial AI products (cloud-based, Google Cloud) and attracting senior engineering talent to build them. [jobs-radar.com](https://jobs-radar.com/job/9b9a23fd-0ab9-4425-b602-d5343bc615e9)

## Why Work Here
- **Culture**: Described as “award-winning culture of extraordinary people” with a purpose-driven mission. Emphasis on meaningful work that impacts both employees and clients. [greenhouse.io](https://job-boards.greenhouse.io/further/jobs/8540294002)
- **Work model**: Hybrid – certain roles require being in office Tuesday–Thursday (e.g., Dallas office for Data Architect); other roles likely flexible. Policy may vary by location and team.
- **Perks & total rewards**:
  - Net-zero cost medical option
  - Company contributions to HSA
  - Fertility support
  - Fully-paid parental leave
  - Monthly lifestyle spending account stipend
- **Engineering culture**: Deep technical ownership – roles expect production experience with event-sourced systems, Postgres, streaming, AI/ML infrastructure, and LLMOps. Emphasis on code reviews, runbooks, and building reliable, scalable systems. [greenhouse.io](https://job-boards.greenhouse.io/further/jobs/8540294002)
- **Growth**: 34 open positions (as of mid-2026) with a +21.4% monthly increase in postings, indicating growth trajectory and opportunities for advancement.

## Sources
1. [further.ai](https://further.ai/)
2. [linkedin.com/company/further-ai](https://www.linkedin.com/company/further-ai)
3. [greenhouse.io - Data Architect job posting](https://job-boards.greenhouse.io/further/jobs/8540294002)
4. [jobs-radar.com - Senior AI Engineer posting](https://jobs-radar.com/job/9b9a23fd-0ab9-4425-b602-d5343bc615e9)

## Other roles at Further

- [Google Market Development Leader](https://feeny.ai/job/google-market-development-leader-further-new-york-z45zc45ba6kj) — New York, NY
- [Google Market Development Leader](https://feeny.ai/job/google-market-development-leader-further-atlanta-v9zsgbh1k6p9) — Atlanta, GA
- [UX / IA Lead](https://feeny.ai/job/ux-ia-lead-further-dallas-1zhpyg64d693) — Dallas, TX
- [Data & Analytics Strategy](https://feeny.ai/job/data-analytics-strategy-further-cleveland-hadxyq9sr8n9) — Cleveland, OH
- [Senior Software Developer](https://feeny.ai/job/senior-software-developer-further-dallas-54c55pc1zq8t) — Dallas, TX
- [Product Manager](https://feeny.ai/job/product-manager-further-cleveland-ggsypx8sejhk) — Cleveland, OH / Dallas, TX
- [Data Architect](https://feeny.ai/job/data-architect-further-dallas-g8b56833yw8e) — Dallas, TX
- [Cloud Migration Engineer](https://feeny.ai/job/cloud-migration-engineer-further-cleveland-1a99jaf1bgaw) — Cleveland, OH
- [Solution Architect](https://feeny.ai/job/solution-architect-further-dallas-bqbyzrvm7kkp) — Dallas, TX
- [Cloud Application Engineer](https://feeny.ai/job/cloud-application-engineer-further-cleveland-bhbpqs5pyh8m) — Cleveland, OH