Data Engineer responsible for building reliable ETL/ELT workflows using Azure and Python. Collaborating with teams to deliver clean, structured data and modernize cloud platforms.
About the role
- Sr. Data Engineer building and maintaining data infrastructure and solutions at FutureFit AI. Collaborating with teams to support data-driven decisions and drive impactful outcomes.
Responsibilities
- Building and maintaining the infrastructure that powers our data platform including pipeline orchestration, data warehousing, and machine learning
- Develop and maintain data solutions alongside a team of data scientists that enable our product to function at scale and with quality
- Uphold best practices in data governance, ensuring accuracy, accessibility, and compliance across data systems
- Surface and integrate data from across the platform to address real business needs in product, engineering, and GTM
- Continuously evolve our foundational models by identifying and incorporating new, high-value data sources
- Contribute to our core data pipelines by adding data quality and data enrichment layers
- Work with data scientists to develop datasets and processes that streamline complex workflows
- Own and automate reporting workflows from data ingestion all the way to building out dashboards and tools
Requirements
- Proven ability to translate ambiguous business problems into clear, actionable insights
- Hands-on experience using SQL and Python for analysis in a professional setting
- Experience building and maintaining data pipelines, warehouses, and infrastructure
- Strong communication skills to convey technical insights to both technical and non-technical stakeholders
- Demonstrated ownership of analytics solutions, ensuring accuracy, reliability, and business alignment
- Familiarity with data visualization tools such as Looker, Power BI, or Tableau
- Familiarity with modeling structured and unstructured data, including NoSQL databases like MongoDB
- A sharp, kind, and open-minded approach, driven by both excellence and impact
- Hands-on experience with modern data tools like DBT and Airflow (preferred)
- Experience with SageMaker or an equivalent machine learning / data science platform (preferred)
Benefits
- Health insurance
- Professional development
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Engineer responsible for data pipelines and analytics solutions across Microsoft ecosystem. Collaborating with stakeholders to ensure reliable data delivery and cloud - first strategies.
Director, Data Architecture & Platforms leading the design of data infrastructures for Pioneer clients. Collaborating with executives and teams on data strategies and modernization initiatives.
Data Engineer at Boeing optimizing aviation operations through data management and machine learning. Collaborating with engineers to implement data science models while ensuring data integrity.
Data Architect designing and implementing analytics and reporting solutions for Taylor Corporation. Collaborating with stakeholders and leading data modeling efforts in a hybrid environment.
BI Data Engineer designing and optimizing Power BI dashboards for Rabobank's Payments & Savings data. Collaborating with cross - functional teams to provide actionable insights from large data sets.
Lead Data Engineer providing technical expertise and mentoring at Westpac. Ensuring platform stability and compliance while driving engineering practices within the squad.
Data Engineer at Uline delivering custom data warehousing solutions for shipping materials distribution. Responsibilities include ETL workflows and data integration management.
MDM Data Engineer managing Profisee MDM platform for Pacific Life. Responsible for data quality, integration and technical support across enterprise systems.
Data Engineer responsible for designing and developing cloud - based data pipelines for ING. Collaborating with international teams focusing on financial risk analytics in the cloud environment.