Cohesive Technologies Inc.
About the Role: Sr. Data Engineer – Bellevue, WA
We are looking for an experienced and passionate Sr. Data Engineer to join our fast-paced team based in Bellevue, WA. This long-term W2 contract role will give you the opportunity to work on large-scale data ingestion, design scalable data architecture, and contribute to high-impact projects involving modern cloud-based data lakes and machine learning systems.
You’ll play a key role in designing and optimizing data pipelines from multiple sources, supporting both real-time streaming and batch processing systems, and helping our enterprise clients gain critical insights from structured and unstructured data.
Key Responsibilities of the Sr. Data Engineer
Build Scalable Data Pipelines
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Design and develop efficient and scalable pipelines for ingesting data from both batch and real-time streaming sources.
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Handle multi-modal data types including structured, semi-structured, and unstructured formats.
Data Quality and Monitoring
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Implement data quality frameworks and monitoring tools to ensure consistent and reliable data delivery across all systems.
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Proactively detect data anomalies and integrity issues before they impact operations.
Support Data Architecture and Modeling
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Design logical and physical data models to meet analytics and reporting needs.
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Work closely with cross-functional teams to create architecture that supports growth and data reuse.
Collaborate with Machine Learning Teams
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Enable AI/ML workflows by ensuring that machine learning engineers and data scientists have fast, reliable, and secure access to data.
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Create reusable data processing templates to support experimentation and deployment.
Who You Are: Qualifications and Skills
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Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or any data-focused discipline.
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7+ years of hands-on development experience with SQL, Scala, Python, and Spark.
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Deep experience with stream processing frameworks such as Flink or Beam.
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Proven experience working with modern data lakes, including architecture that can support scaling by 100x.
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Experience with structured and unstructured data and the tools to process them at scale.
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Solid knowledge of AWS, Azure, or other major cloud providers.
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Prior experience building pipelines for machine learning or analytics is highly desirable.
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Ability to work onsite at the Bellevue headquarters and travel up to 50% when required.
Work Environment and Expectations
This is a full-time onsite position requiring collaboration at our Bellevue office. You’ll be working closely with internal stakeholders and external customers, which includes occasional travel based on project needs. We value team players who thrive in a fast-changing environment and can bring both urgency and good humor to the table.
Ready to Apply?
If you’re passionate about data engineering, excited by solving complex problems at scale, and want to work in an energetic team environment, this is the right role for you.
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FAQs – Sr. Data Engineer – Bellevue, WA
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What type of data pipelines will I work on?
You’ll work on both batch and real-time streaming data ingestion pipelines. -
Which programming languages should I be proficient in?
SQL, Scala, Python, and Spark are key, along with knowledge of Flink or Beam. -
Is this role suitable for candidates with machine learning experience?
Yes, experience supporting ML or LLM-based data pipelines is a big plus. -
What kind of data sources will I be working with?
You’ll handle structured and unstructured data from internal and external sources. -
Is cloud experience mandatory?
Yes, strong experience with AWS or Azure is required. -
How often is travel required?
Travel may be required up to 50% of the time to work with customers. -
Can I work remotely for this position?
No, this is an onsite role in Bellevue, WA. -
Will I collaborate with cross-functional teams?
Absolutely. You’ll work with data scientists, product teams, and cloud engineers. -
Is experience in data lakes necessary?
Yes, especially familiarity with scalable architectures and performance optimization. -
What tools are used for monitoring and data quality?
You’ll use monitoring frameworks to track data health, quality, and consistency. -
Is this a contract or full-time role?
This is a long-term W2 contract. -
What type of company is hiring for this role?
A leading technology-driven enterprise focused on scaling AI and data solutions. -
Will I be responsible for data modeling?
Yes, both logical and physical modeling to support analytics needs. -
Is prior customer-facing experience helpful?
Definitely, since you’ll occasionally travel to work with external customers. -
What is the most exciting part of this role?
Building systems that scale and power ML models using cutting-edge data engineering.
