

Stage 4 Solutions
Senior Data Engineer (Hybrid – Kirkland, WA)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Hybrid – Kirkland, WA) with a 6-month contract, offering $85-$91.03/hr. Requires 5+ years in Python, SQL, ETL, and 3+ years in cloud infrastructure, preferably in FinTech or analytics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
728
-
🗓️ - Date
January 9, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Kirkland, WA
-
🧠 - Skills detailed
#Mathematics #Agile #Data Warehouse #Computer Science #MIS Systems (Management Information Systems) #Hadoop #Spark (Apache Spark) #Data Science #Data Lake #Trino #Data Governance #Base #Data Mart #Snowflake #Compliance #Cloud #Forecasting #SQL (Structured Query Language) #Python #Data Management #DevOps #Unix #Lambda (AWS Lambda) #NoSQL #Jenkins #HDFS (Hadoop Distributed File System) #Kafka (Apache Kafka) #Data Pipeline #Programming #Airflow #"ETL (Extract #Transform #Load)" #Automation #SaaS (Software as a Service) #Tableau #Data Engineering #Apache Airflow #API (Application Programming Interface) #Data Transformations
Role description
We are looking for a Senior Data Engineer for a large, global B2B high-tech company. In this role, you will be analyzing and preparing data for ingestion, developing new and supporting existing highly available data products, models, and data marts in a Hadoop environment. Your work will drive Client's FinOps Cloud Infrastructure Cost Management as well as Capacity Forecasting decisions.
This is a 6-month contract (Extension possible). 40 hours per week hybrid role, 3 days a week at the client’s office in Kirkland, WA.
This is a W2 employee of Stage 4 Solutions. Health benefits and 401K are offered.
Responsibilities
• 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.
Requirements
• 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 warehouses, 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.
• 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
Please submit your resume to our network at https://www.stage4solutions.com/careers/ (apply to the Senior Data Engineer (Hybrid – Kirkland, WA) role).
Please feel free to forward this job post to others you think may be interested.
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates’ qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic
Compensation: $85/hr - $91.03/hr
We are looking for a Senior Data Engineer for a large, global B2B high-tech company. In this role, you will be analyzing and preparing data for ingestion, developing new and supporting existing highly available data products, models, and data marts in a Hadoop environment. Your work will drive Client's FinOps Cloud Infrastructure Cost Management as well as Capacity Forecasting decisions.
This is a 6-month contract (Extension possible). 40 hours per week hybrid role, 3 days a week at the client’s office in Kirkland, WA.
This is a W2 employee of Stage 4 Solutions. Health benefits and 401K are offered.
Responsibilities
• 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.
Requirements
• 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 warehouses, 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.
• 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
Please submit your resume to our network at https://www.stage4solutions.com/careers/ (apply to the Senior Data Engineer (Hybrid – Kirkland, WA) role).
Please feel free to forward this job post to others you think may be interested.
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates’ qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic
Compensation: $85/hr - $91.03/hr





