Sr. Data Engineers

iLink Digital•Bellevue, WA

19h•Remote

About The Position

Sr. Data Engineers establish and maintain centralized management of data across systems. They review enterprise data, query and programming logic, troubleshoot issues, and provide short- and long-term remediation solutions. The role adopts consistent software-based data governance and data quality standards for existing and new data sources, and provides business insights to support data-driven decision-making. The position standardizes data and metric definitions in alignment with business strategy and outcomes, and ensures the quality of data-related deliverables, including data onboarding, solutioning, reporting, and analytic readiness. Working with business and analytics stakeholders, the role performs data and process gap analysis and drives data-processing automation in support of Analytics and Machine Learning Operations across internal data. It also provides metadata, taxonomies, cross-references, and other supplemental data for integration with other sources; investigates discrepancies and questionable trends using reports and data collection technology; and oversees test data management, test-plan development, and automated test suites. Worksites are various and unanticipated locations throughout the U.S., with headquarters in Bellevue, Washington. The role may be performed remotely. Salary is $135,000 per year, plus benefits; benefit details are referenced at https://www.ilink-digital.com/careers.

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field.
At least 3 years of experience with data architecture, business intelligence (BI), or ETL.
At least 3 years of experience investigating data discrepancies, managing test data, developing test plans, writing SQL queries and stored procedures, and developing test-plan automation test suites.
Experience with Snowflake; AWS cloud services including S3, Glue, EMR, Lambda, Webhook, and Redshift; Informatica and Talend ETL; Teradata; Unix scripting; PySpark; and Jupyter Notebook data profiling.

Responsibilities

Establish and maintain centralized management of data across systems.
Review enterprise data, query and programming logic, troubleshoot issues, and provide short- and long-term remediation solutions.
Adopt consistent software-based data governance and data quality standards for existing and new data sources.
Provide business insights to enable data-driven decision-making.
Standardize data and metric definitions in alignment with business strategy and outcomes.
Ensure the quality of data-related deliverables, including data onboarding, solutioning, reporting, and analytic readiness.
Collaborate with business and analytics stakeholders to perform data and process gap analysis.
Drive data-processing automation in support of Analytics and Machine Learning Operations across internal data.
Provide metadata, taxonomies, cross-references, and other supplemental data required for integration with other data sources.
Use reports and data collection technology to investigate and identify data discrepancies and questionable data trends.
Oversee test data management and develop test plans and automated test suites.