🚀 Data Engineers x Multiple Openings | Snowflake | AWS/Azure | $100k–$140k + Bonus

🚀 Data Engineers x Multiple Openings Snowflake AWS/Azure $100k–$140k + Bonus

📍 Columbia, Missouri, USA | Remote-First After Onboarding

💰 $100,000–$140,000 + Bonus + Competitive Benefits

✈️ All Required Onsite Travel Expenses Covered

🇺🇸 US Citizens and Green Card Holders Only

🌟 Build the Future of Data. Work with Modern Cloud Technology. Make a Real Impact.

Are you a Data Engineer who enjoys solving complex data challenges, building scalable platforms and turning raw data into something genuinely valuable?

We’re partnering with a major US organisation embarking on a significant data transformation programme, and we’re looking for multiple Data Engineers to join a growing team at an exciting stage of its journey.

This is your opportunity to contribute to a large-scale enterprise initiative, work with modern cloud data technologies and help build the foundations for better reporting, analytics and business decision-making.

With salaries of up to $140,000, a bonus, covered travel expenses and a largely remote working arrangement after onboarding , this is an opportunity worth exploring.

🔥 Why You’ll Want to Know More

• 💰 Earn $100k–$140k: Competitive compensation, plus bonus and a benefits package.
• 🏡 Remote-first flexibility: Following the initial three-month onboarding period, work remotely for the majority of the time, with occasional onsite visits as required.
• ✈️ Travel on us: All required travel expenses for onsite visits are covered.
• ☁️ Work with modern technology: Use your Snowflake, SQL and AWS/Azure expertise to develop and optimise enterprise data solutions.
• 📊 Make a measurable impact: Contribute to a major data transformation programme with business-critical outcomes.
• 🚀 Grow your career: Join an expanding team with opportunities to deepen your technical expertise and take on new challenges.
• 🤝 Collaborate and influence: Work alongside engineering teams, analysts and business stakeholders to deliver meaningful solutions.
• 👥 Multiple opportunities available: Be part of a growing team rather than a single isolated hire.

💻 What You’ll Be Doing

You’ll play a hands-on role in building and improving the organisation’s data capabilities, helping ensure that data is reliable, accessible and ready to support business decisions.

Your responsibilities will include:

• Designing, developing and maintaining robust data pipelines and integrations.
• Building scalable cloud data solutions using Snowflake and AWS and/or Azure.
• Writing advanced SQL to transform, cleanse and optimise large datasets.
• Supporting enterprise reporting, analytics and data warehousing initiatives.
• Improving data quality, pipeline performance, reliability and governance.
• Collaborating with technical and non-technical stakeholders to translate business requirements into effective data solutions.
• Contributing to the ongoing evolution of a modern enterprise data platform.

🎯 What We’re Looking For

We’re interested in engineers who combine strong technical fundamentals with a practical, problem-solving mindset.

Essential experience:

• 4+ years of commercial Data Engineering experience.
• Strong hands-on experience with Snowflake .
• Advanced SQL skills and confidence working with complex datasets.
• Commercial experience with AWS and/or Azure .
• Experience building, maintaining and supporting modern data platforms.
• Strong communication skills and the ability to work effectively with stakeholders across the business.

Experience that would set you apart:

• Background in insurance or financial services.
• Experience working within large enterprise environments.
• Involvement in data warehousing, cloud migration or large-scale data transformation programmes.

You don’t need to tick every desirable box. If you have the core Data Engineering experience and enjoy working with modern cloud data platforms, we’d like to hear from you.

📍 The Working Arrangement - No Surprises

The position is associated with Columbia, Missouri , with a defined initial onsite commitment to support onboarding and collaboration.

• First three months: Travel to Columbia every other week, with visits generally running Monday to Wednesday or Thursday.
• Travel costs: All required onsite travel expenses are covered.
• After onboarding: Largely remote working, with occasional onsite visits as needed.

Pleas…