Data Engineer

Posted 7 days ago Amplifi Data Engineer 5 day week · Very Flexible $115k – $160k Remote · Wisconsin, USA The 4-day week in United States About the role About us Amplifi is a full-service data and AI consultancy with deep expertise across multiple data disciplines throughout North America and EMEA. We work as one team to solve our clients’ most complex data challenges. While others talk about the potential of data and AI, we help organizations realize it. We partner with some of the world’s largest brands to evolve, adapt, and modernize how they operate through practical, results-driven solutions. At Amplifi, we take pride in delivering measurable value and tackling both technical and business challenges head-on. We’re looking for collaborative, growth-minded individuals who are eager to learn, grow, and mentor others as part of the Amplifi team. Position Summary The Data Engineer will be responsible for designing, building, and maintaining scalable, secure data pipelines that drive analytics and support operational data products. The ideal candidate brings a strong foundation in SQL, Python, and modern data warehousing with a deep understanding of Snowflake, Databricks, or Microsoft Fabric, and a solid understanding of cloud-based architectures. What You Will Get To Do Design, develop, and optimize robust ETL/ELT pipelines to ingest, transform, and expose data across multiple systems. Build and maintain data models and warehouse layers, enabling high-performance analytics and reporting. Collaborate with analytics, product, and engineering teams to understand data needs and deliver well-structured data solutions. Write clean, efficient, and testable code in SQL and Python to support automation, data quality, and transformation logic. Support deployment and orchestration workflows, using Azure Data Factory, dbt, or similar tools. Work across multi-cloud environments (Azure preferred; AWS and GCP optional) to integrate data sources and manage cloud-native components. Contribute to CI/CD practices and data pipeline observability (monitoring, logging, alerting). Ensure data governance, security, and compliance in all engineering activities. Support ad hoc data science and machine learning workflows within Dataiku. What You Bring to the Team 4+ years of experience in a data engineering or related software engineering role. Proficiency in SQL and Python for data manipulation, transformation, and scripting. Strong experience working with Snowflake and MSSQL Server. Practical knowledge of working with cloud data platforms, especially Microsoft Azure. Experience with modern data modeling and warehouse optimization techniques. Experience with Databricks, Azure Data Factory, or DBT preferred. Exposure to Microsoft Fabric components like OneLake, Pipelines, or Direct Lake. Familiarity with cloud services across AWS, GCP, or hybrid cloud environments. Understanding of or curiosity about Dataiku for data science and advanced analytics collaboration. Ability to work independently and with a team in a hybrid/remote environment. Compensation & Work Location The preferred location for this role is Wisconsin, and the anticipated salary range is $115,000 – $160,000. Final compensation will be based on the candidate’s skills, experience, and work location. A candidate’s compensation may also include bonuses consistent with Amplifi’s corporate bonus plan. Travel Ability to travel up to 10% of the time. Benefits Amplifi offers excellent compensation and benefits including, but not limited to, health, dental, 401(k) program, employee assistance program, short and long-term disability, life insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules and paid holidays. Equal Opportunity Employer Amplifi is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected characteristics. About Amplifi Leading data consultancy empowering enterprises through innovative, data-driven strategies with flexible work arrangements including 4-day weeks. See the full profile Apply now Save Not ready yet? Save it with a free account. Work-life balance 67 /100 Good. Scored on hours, schedule, holiday, flexibility and remote policy. How scoring works Flexible hours Remote work No core hours requirement 38 days PTO 5 day work week Standard 40-hour week Recently posted Salary $115k – $160k Flexible Hours 40 hours a week Read their policy (opens in new tab) Time off We offer 30 days of annual leave plus bank holidays, ensuring ample time for rest and personal activities. Paid time off 38 days Benefits Career growth on real Enterprise data programmes — Snowflake, Databricks, Microsoft Fabric 100% remote within the UK + work-from-anywhere allowance Team meet-ups across UK and US offices 30 days annual leave + UK bank holidays Location Remote Must be based in: Wisconsin, USA Schedule checked against their published policy Apply on autopilot Land more data and analytics interviews While you read this one, auto-apply can send applications to roles that match you, each with a tailored CV and cover letter. Only the roles, places and companies you choose A CV and cover letter tailored to each role Every application tracked in one dashboard Try auto-apply Powered by AIApply We earn a share of what you pay AIApply. Amplifi 21 people · United Kingdom See all Amplifi roles Similar roles Data Engineer Samsara · Remote · USA Data Engineer Experian · Remote · Kuala Lumpur, Malaysia Data Engineer Made Tech · Hybrid · Bristol +3 more Browse Data / Analytics jobs Skills in this role Automation CI/CD Cloud Architecture Data Governance Data Modeling Data Pipelines Data Quality ETL/ELT Azure Python Explore related Data / Analytics Jobs Flexible Hours Jobs Remote Jobs Report incorrect information Data Engineer Amplifi Apply now Save