What are the responsibilities and job description for the Consultant - Data Engineer position at Kalles Group?
ABOUT KALLES GROUP :
Everyone deserves to be secure. Our mission at Kalles Group is to help secure the future for companies of all shapes and sizes.
While our expertise spans multiple disciplines, our method remains consistent : building trust and relationship with peoplewhether you are a client, a consultant, orin this casea candidate.
No matter what role you come fromwhether you're an executive or just starting your career-you can expect our highest level of attention and respect. We want to find the right fit for each role, but we also want you to find the right fit for your career.
We believe the best way to show you what our team is like is to treat you like you're already a part of it . We hope you'll consider joining our team of experienced professionals who are building their careers at Kalles Group-and having fun while doing it.
WHAT YOU WILL DO :
We are looking for an experienced Data Engineer to be a key part of a high-energy team. In this role, you will collaborate closely with Data Architects and Data Scientists to design and maintain scalable data pipelines and data models. Your primary focus will be on building and optimizing data pipelines that ensure the availability and quality of data for reports and advanced analytics. You will also work with DevOps Engineers during CI / CD processes to automate and manage data pipelines sourced from both internal and external systems. If you have a passion for data engineering and excel in fast-paced environments, this role might be an excellent fit for you.
Key Responsibilities :
- Design, develop, and maintain data pipelines using Azure Data Factory (ADF), DBT Labs, Snowflake, and Databricks.
- Build reusable jobs and configuration-based integration frameworks to enhance scalability and streamline development.
- Manage data ingestion for structured and unstructured data, leveraging ADLS, Salesforce, SharePoint Document Libraries, and partner datasets such as DHS, IHME, and WASDE.
- Implement and optimize ELT processes, source-to-target mappings, and transformation logic using DBT Labs, ADF, Databricks Notebooks, and SnowSQL.
- Collaborate closely with data scientists, analysts, data engineers, report developers, and infrastructure engineers to provide end-to-end data support.
- Co-develop CI / CD pipelines and automation with infrastructure engineers using GitHub Actions for seamless code deployment.
- Automate source-to-target mappings, data pipelines, and data lineage using Collibra to enhance data governance.
ABOUT YOU :
Integrity : You believe in doing the right thing, even when it's uncomfortable, seemingly inefficient, or costly.
YOUR EXPERIENCE :
WHAT WE OFFER :
LOCATION :
This role requires on-site presence at our client's location in Seattle, WA.
HOW TO APPLY :
Please fill out the form below (including uploading your most recent resume) and we'll be in touch! We know imposter syndrome can be a barrier to many great applicants. We hope you'll still consider applying. That's why we've made the application process as short and simple as possible.
Even if you're not a fit for the role, you can expect to hear back from us! We want you to have the best experience as a candidate, so please feel free to share feedback at any stage of the process to talent@kallesgroup.com.
Kalles Group is an equal-opportunity employer and does not discriminate on the basis of creed, nationality, race, ethnicity, disability, gender, or other protected class.
Salary : $140,000 - $180,000
