Senior Data Engineer

About the Engineering Team:

You’ll join a team where everyone, including you, is striving to constantly improve their knowledge of software development tools, practices, and processes. We are an incredibly supportive team. We swarm when problems arise and give excellent feedback to help each other grow. Working on our close-knit, multi-functional teams is a chance to share and grow your knowledge of different domains from databases to front ends to telephony and everything in between.

We are passionate about many things: continuous improvement, working at a brisk but sustainable pace, writing resilient code, maintaining production reliability, paying down technical debt, hiring fantastic teammates; and we love to share these passions with each other.

Learn more about the Invoca development team on our blog and check out our open source projects.

Invoca offers a unique opportunity to make massive contributions to machine learning and data science as it applies to conversation intelligence, marketing, sales and user experience optimization.

You are excited about this opportunity because you get to:

• Design and develop highly performant and scalable data storage solutions
• Extend and enhance the architecture of Invoca’s data infrastructure and pipelines
• Deploy and fine-tune machine learning models within an API-driven environment, ensuring scalability, efficiency, and optimal performance.
• Expand and optimize our Extract, Transform, and Load (ETL) processes to include various structured and unstructured data sources within the Invoca Platform.
• Evaluate and implement new technologies as needed and work with technical leadership to drive adoption.
• Collaborate with data scientists, engineering teams, analysts, and other stakeholders to understand data requirements and deliver solutions on behalf of our customers
• Support diversity, equity and inclusion at Invoca

At Invoca, our Senior Data Engineers benefit from mentorship provided by experts spanning our data science, engineering, and architecture teams. Our dedicated data science team is at the forefront of leveraging a blend of cutting‑edge technology, including our proprietary and patented solutions, along with tools from leading vendors, to develop an exceptionally scalable data modeling platform.

Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients. Your pivotal role will focus on optimizing model accessibility and usability, thereby expediting model integration within our feature engineering teams. Ultimately, this streamlined process ensures swift model adoption, translating to enhanced value for our customers.

We are excited about you because you have:

• 3+ years of professional experience in Data Engineering or a related area of data science or software engineering
• Advanced proficiency in Python, including expertise in data processing libraries (e.g., spaCy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks
• Advanced proficiency using Python API frameworks (e.g., FastAPI, Ray/Any Scale, AWS Sagemaker) to build, host, and optimize machine learning model inference APIs.
• Intermediate proficiency working with the Databricks platform (e.g. Unity Catalog, Job/Compute, Delta Lake) (or similar platform) for data engineering and analytics tasks
• Intermediate proficiency working with the Machine Learning and Large Language Model (LLM) tools from AWS (e.g., Sagemaker, Bedrock) or other cloud vendors such as Azure or Google Cloud Platform
• Intermediate proficiency with big data technologies and frameworks (e.g., Spark, Hadoop)
• Intermediate proficiency with SQL and relational databases (e.g., MySQL, PostgreSQL)
• Basic proficiency in several areas apart from pure coding, such as monitoring, performance optimization, integration testing, security and more
• Basic proficiency with Kafka (or similar stream-processing software) is a plus
• Bachelor's Degree or equivalent experience preferred

Teammates begin receiving benefits on the first day of the month following or coinciding with one…