Senior Data Engineer

Company Overview: 

7Rivers is a Snowflake® Elite partner and leading expert in data modernization and artificial intelligence. We help clients identify strategic, high-value use cases. Then, we turn those opportunities into business value by building intelligent experiences, creating AI-infused applications, establishing data collaborations, Data Native™ applications, and creating and tuning enterprise large language models on top of your most valuable data sets.  

We leverage the full capabilities of the Snowflake data cloud platform including highly performant data scaling, security, data sharing, data warehousing, data lake, data engineering, Data Native™ applications, developer tools, Snowpark, and their new embedded machine learning algorithms and generative AI capabilities. Our dedicated team of data architects and engineers, AI specialists, creative technologists, and industry experts are committed to delivering custom-tailored, scalable, and robust solutions that fuel innovation, improve operational efficiency, and create unparalleled customer experiences. Partnering with 7Rivers means you’re out in front of groundbreaking technology trends, giving you a competitive edge in an increasingly data-driven business landscape. 

Data Engineer | Role Overview:  

As a Data Engineer, you will specialize in designing and implementing modern cloud data solutions (data warehouses and data lakes) primarily on the Snowflake platform. You will be at the forefront of designing, developing, and deploying scalable data infrastructure that caters to high-volume and complex data pipelines. Your expertise will be pivotal in transforming raw data into actionable insights, ensuring our clients maximize the value of their data assets. You will work closely with client business stakeholders, data analysts, data architects, and data scientists to ensure that the data consumer needs are met and that data pipelines are designed in an efficient and durable way adhering to best practices. This role will require expertise across multiple ETL/ELT tools, and DataOps methodologies with Snowflake as the primary DW. Additionally, the need for experience and expertise with data streaming and CDC solutions and tools will increase as our customers continue to modernize their data pipelines. You’ll be joining a team that is passionate about developing data-centric solutions and products that create new value streams and experiences for our clients and their customers.  

Key Responsibilities:  

* Collaborate with 7Rivers’ technical team and clients to design, implement, and manage scalable big data solutions and cloud data warehouses across Snowflake deployments on AWS, Azure, and GCP.   

* Develop, test, and optimize ETL/ELT pipelines to ensure seamless data integration, processing, and delivery to various data consumers.  

* Integrate DataOps practices, promoting automation, continuous integration/continuous deployment (CI/CD) for data pipelines, and fostering a collaborative environment.  

* Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and other ‘big data’ technologies.  

* Build analytics tools to support data quality and usability across data stages.   

   Qualifications:   

* Minimum of 3 years of experience in data engineering with a focus on big data and cloud data warehousing solutions (Amazon Redshift, Snowflake, Google BigQuery).  

* Strong expertise with Snowflake data warehouse and data lake environments.  

* Proficient in Modern Data Stack ETL/ELT tools like FiveTran, dbt, Matillion.  

* Deep understanding of DataOps principles, with experience in tools like Git, Jenkins, Docker, and Kubernetes for data pipeline CI/CD.  

* Solid understanding of data modeling, data structures, and big data technologies like Hadoop, Spark, and Kafka.   

* Experience in optimizing and tuning cloud data pipelines and processing for performance and cost-efficiency.   

* Excellent problem-solving skills, with the ability to troubleshoot and address complex data challenges.   

* Strong interpersonal and communication skills, enabling effective collaboration with cross-functional teams and stakeholders.  

* Bachelor's degree in Computer Science, Engineering, or a related field or equivalent experience.  

* SnowPro Core certification is highly desirable, or the ability to obtain once aboard. 

Why Join 7Rivers? 

At 7Rivers, we believe that our employees are our most valuable asset, and we are committed to providing a transparent and collaborative work environment designed to support your well-being, growth, and success. On the River, we’re reimagining how businesses leverage AI and data to achieve extraordinary outcomes. As a growing startup, every role here carries unique significance. Your contributions will influence not just the bottom line but also the strategic trajectory of our organization. This is your chance to be part of something groundbreaking, where your ideas and expertise will leave a lasting impact. 

* Flexible Work Environment: Experience the freedom of a hybrid/remote work model designed to empower your productivity, fit seamlessly into your lifestyle, and give you the flexibility to thrive both personally and professionally. 

* Innovation First Culture: Be a part of a team of innovators and thought leaders who are passionate about being on the forefront of data modernization and AI. You will have the opportunity to work with the latest technologies and contribute to pioneering projects that shape the future within a work environment that encourages creativity, teamwork, idea sharing, and inclusion. 

* Career Growth Opportunities: We are committed to your professional development offering numerous opportunities for career advancement, including access to ongoing training, certifications, mentorship assignments, and coaching opportunities while working on exciting projects at the forefront of AI and data technology. 

* Meaningful Work: Be a key player in designing and delivering solutions that drive real-world value for leading industries, from Healthcare, Financial Services, Manufacturing, Insurance, Media & Entertainment to High-Tech.