Senior AI Data Engineer | JobSetuu

Description

Job Overview

• Source: Jobicy

Job Description

About the Role

The Senior Data Engineer sits on Scorpion's AI team and plays a critical role in building and evolving the trusted data foundation that powers our AI products, tools, and decision-making. In this role, you'll build Scorpion's unified analytical data layer, providing AI agents, machine learning models, and internal teams with a single, reliable, and secure source of client and business data.

You'll partner closely with engineering, data science, product, and AI leaders to design scalable analytical systems, build production-grade data pipelines from operational and third-party sources, and ensure data access is performant, consistent, and aligned with business needs. Your work will directly influence how Scorpion leverages data and AI to deliver value to clients and employees.

Beyond day-to-day engineering, you'll help shape Scorpion's long-term AI and data platform strategy, determining how data is organized, governed, secured, and leveraged to support future products, insights, and AI-powered experiences. You'll establish and maintain data quality standards, reliability expectations, and service-level agreements that ensure trusted, queryable data is available across the organization.

What Your Success Will Look Like

• Evaluate and improve data quality, completeness, and consistency across 30+ databases, applications, platforms, and APIs.
• Design and build Scorpion's analytical data platform, creating a trusted source of truth for business and client data.
• Develop and maintain scalable data pipelines that efficiently move data from operational systems into the analytical platform.
• Help teams transition from querying production databases directly to using trusted analytical data sources.
• Design data access patterns that enable AI agents and applications to quickly retrieve relevant client and business information.
• Build secure, scalable solutions that deliver client context and business insights to internal applications and AI-powered experiences.
• Define, monitor, and improve service level agreements (SLAs) for data freshness, availability, reliability, and performance.
• Partner with engineering, product, and data science teams to establish data standards, governance practices, and data contracts.
• Continuously improve the scalability, performance, and reliability of Scorpion's data ecosystem.

Who You Are And What You Bring

• Education
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field, or equivalent practical experience.
• Experience
  • 7+ years of data engineering experience, including designing and operating production-scale analytical data platforms.
  • Experience building scalable data pipelines, analytical systems, and data platforms in modern cloud environments.
  • Experience integrating and unifying data from multiple systems into trusted, business-ready analytical platforms.
  • Experience supporting data access and consumption patterns for applications, analytics, machine learning, or AI-powered solutions.
  • Experience designing scalable data models that support analytics, reporting, and AI-driven applications.
  • Experience establishing data governance standards, data contracts, and documentation practices across teams.
• Technical Skills
  • Data Processing & Lakehouse Technologies
    • Deep expertise with Databricks, Delta Lake, and Apache Spark for large-scale data processing, streaming ingestion, and data transformation.
  • Data Warehousing & Analytics
    • Experience working with Snowflake, BigQuery, ClickHouse, Azure Synapse, or similar analytical database technologies.
  • Programming & Query Languages:
    • Advanced SQL skills, including query optimization, execution planning, and performance tuning.
    • Strong Python skills for data pipeline development, automation, transformation, and integration with production systems.
  • Data Pipeline & Orchestration Tools
    • Experience building and managing data pipelines using dbt, Airflow, Prefect, or similar orchestration and transformation tools.
  • Architecture & Security
    • Strong understanding of lakehouse architecture, data partitioning strategies, metadata management, and data security best practices.
• Professional Skills
  • Ability to collaborate effectively across engineering, product, data science, and business teams.
  • Strong communication skills with the ability to translate business requirements into scalable data solutions.
  • Strong analytical and problem-solving skills with a focus on building scalable, maintainable systems.
  • Ability to balance long-term platform strategy with near-term business priorities.

Our Scorpion Values

• Winning Mindset: When our clients win, we win.
• Genuine Care: We only succeed when we are truly invested in our clients and each other.
• Unmatched Results: We deliver more than expected–and then some–driving the best results and impacting lives.
• Constant Improvement: We believe there is always a better way. We learn we ask “What if?” we build and then do it again.
• Unbeatable Teamwork: We come from different backgrounds but have the same vision. We only get there by doing it together, as a team.

Compensation

We acknowledge that states have passed legislation promoting pay transparency. As a national employer, Scorpion has made the decision to post our expected pay rate or pay range (as applicable) in all our job postings, regardless of geographic location.

• The base salary range is $155,000 (entry-level) - $185,000 (highly experienced), exclusive of fringe benefits. If you are hired at Scorpion, your final base salary compensation will be determined based on factors such as geographic location, skills, education, and/or experience. Additionally, we believe in the importance of pay equity and consider the internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is the total salary range for the role. Hiring at the maximum of the range would not be typical in order to allow for future & continued salary growth. 
• The compensation package may also include incentive compensation opportunities in the form of discretionary bonuses or commissions.

Expert Career Tips for Senior AI Data Engineer Roles

To succeed in a competitive market as a Senior AI Data Engineer, you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior AI Data Engineer requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior AI Data Engineer position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.