Job Title: Senior Data Engineer
Location: Kirkland, WA
Duration: 6+ Months
What you get to do in this role:
Analyze and prepare data for ingestion, including data governance and compliance reviews to support various analytics initiatives.
Develop and maintain highly available data products, models, and data marts.
Collaborate with cross-functional teams to drive Cloud and Infrastructure Cost Management capabilities.
Support FinOps and Capacity Analytics through data engineering solutions.
Troubleshoot data currency and integration issues to ensure data reliability and accuracy.
Skills:
In order to qualify for and be successful in this role, you should have:
5+ years of demonstrated end-to-end Python, SQL, and ETL tool development to automate and accelerate data acquisition, manage data products, transformations, enrichment, and data pipelines at scale.
3+ years of experience working with on-premises and cloud-based infrastructure services such as SaaS, IaaS, FinTech, capacity planning, supply chain, or data analytics environments.
Extensive experience in Data Engineering and DevOps within a data, FinOps or analytics-focused organization.
Strong programming skills in Python, SQL, Rust, Unix programming, and similar languages.
Experience working with on-premises and cloud data warehouse, DBMS, data lake platforms, technologies, most specifically Hadoop, Snowflake, NoSQL, HDFs, Spark, Kafka, Trino, etc.
Familiarity with data transformations, data pipeline concepts, including ETL, ELT, streaming, Lambda, and patterns such as change data capture, SCD, lineage, and orchestration tools such as (e.g., Apache Airflow, or similar).
Familiarity with CI/CD best practices and automation tools such as Jenkins and agile development environments.
Experience with developing data insights and dashboards using Tableau and Tableau Prep.
Excellent written and verbal communication skills, willing to prepare knowledge base, operational procedures, and change plans.
Experience working with the ServiceNow platform, data management frameworks, and API's is a plus.
Ability to work independently, execute with agility, and learn in a fast-paced environment.
Exceptional team player with a collaborative mindset.
Education:
Bachelor's degree in Computer Science, Data Science, Management Information Systems, Mathematics, or a related field. Equivalent work experience is also acceptable for the position.
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