Sr. Data Engineer (C2H)

Canvendor; Seattle (WA); Hybrid; USD 96,000 - 165,000; Part time

Job summary

Canvendor in Seattle, WA is seeking a data engineering professional to design and operate scalable data extraction, ingestion, and processing systems for large datasets. This contract-to-hire role supports modern data architectures and data mesh paradigms, with an emphasis on reliability and security.

You will work with AWS, SQL/NoSQL, and ETL/ELT pipelines, contributing to the data platform, and collaborating across teams. Remote work is allowed, but monthly office visits are required.

Qualifications

• Experience building scalable data extraction and processing pipelines.
• Familiarity with Data Mesh and Data Lakehouse concepts.
• Background with MDM and master data management.
• Experience with cloud data solutions and IaC tools.

Responsibilities

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc.
• Working knowledge of Master Data Management Reltio preferred
• Research, analyze, recommend and select technical approaches for solving exciting and sophisticated development and integration problems
• Build and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructure
• Implement additional project components (API interfaces) for accessibility
• Implement secure cloud data solutions which align to privacy and security controls
• Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality

Skills

AWS

MDM

Python

SQL

Reltio

Job description

Location: Seattle, WA (Remote is okay, but as per the client's policy, a monthly office visit is mandatory)

Type: Contract to Hire

Key Skills: AWS, MDM, Python, SQL, Reltio (not mandatory but it should be good to have)

Responsibilities

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc.
• Working knowledge of Master Data Management Reltio preferred
• Research, analyze, recommend and select technical approaches for solving exciting and sophisticated development and integration problems
• Build and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructure
• Implement additional project components (API interfaces) for accessibility
• Implement secure cloud data solutions which align to privacy and security controls
• Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality

Qualifications

• A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it
• Contribute to the overall data platform architecture and evolution
• Experience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structures
• Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform
• Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)
• Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go
• Solid understanding of scripting languages such as bash or PowerShell
• Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors
• Must have a background in data engineering - Data Warehouse, ETL/ELT and BI experience
• Serve as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problems
• Working experience with various stream analytics technologies
• Familiarity with modern engineering practices, including agile development, CI/CD and devops