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Associate Data Engineer Jobs in Redmond, WA (NOW HIRING)

They are seeking an Associate Data Engineer to learn and contribute to the HR Analytics data engineering vertical, focusing on data ingestion, modeling, and visualization using tools like Microsoft ...

They are seeking an Associate Data Engineer who will work hands-on in the HR Analytics data engineering vertical, executing solution designs and building data models and visualizations under guidance.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Reviews the deliverables of junior associates and provides guidance on data source and quality ... Experience programming in Python for data engineering tasks. Experience using CI/CD tools (GitHub ...

New

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

AWS Data Engineer (Associate)

Seattle, WA · On-site

$130K - $156K/yr

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage ...

AWS Data Engineer (Associate)

Seattle, WA · Remote

$117K - $140K/yr

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage ...

Big Data Engineer

Seattle, WA · On-site

$63.50 - $84/hr

Big Data Engineer CA - Los Angeles, CA - Los Alamitos, CA - Norwalk, CA - El Segundo, CA ... Associate degree would work too) Preferred Qualifications • Full life cycle development ...

Role description Data Architect - Revenue Data Platform Associate Data Architect II Who We Are ... Collaborate closely with engineering teams to ensure hands-on alignment and execution * Incorporate ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for associate data engineer in Redmond, WA is $20.99, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Redmond, WA? The most popular types of Data Engineer jobs in Redmond, WA are:
What are popular job titles related to Associate Data Engineer jobs in Redmond, WA? For Associate Data Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Redmond, WA look for? The top searched job categories for Associate Data Engineer jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Associate Data Engineer jobs? Cities near Redmond, WA with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in Redmond, WA as of June 2026, with employment types broken down into 5% Internship, 79% Full Time, 11% Part Time, and 5% Contract. Highlights an 73% In-person, 16% Hybrid, and 11% Remote job distribution, with an average salary of $43,649 per year, or $21 per hour.

Associate Data Engineer

UST HealthProof

Seattle, WA • On-site

Full-time

Posted 10 days ago


Job description

Job Summary:
UST HealthProof is a mission-driven company that transforms lives through technology. They are seeking an Associate Data Engineer to learn and contribute to the HR Analytics data engineering vertical, focusing on data ingestion, modeling, and visualization using tools like Microsoft Fabric and Power BI.
Responsibilities:
• Execute assigned components of solution designs handed off by Senior and Data Engineers, delivering production-grade code under senior engineer guidance.
• Land source data into the team's unified ingestion framework using the patterns specified in the design.
• Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design.
• Apply medallion (bronze, silver, gold) architecture and the team's engineering standards to all work, including naming conventions, documentation, and code review practices.
• Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) per the design specifications.
• Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards.
• Implement unit tests, data quality checks, and reconciliation for assigned work.
Qualifications:
Required:
• Graduation Year: 2024, 2025 or 2026
• GPA: 3.5
• Experience: 1+ years
• Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field plus 1+ years of related work experience, OR equivalent demonstrated experience through internships, bootcamps, or self-directed project work.
• Must be located in the United States.
• 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits.
• Working proficiency in SQL and Python.
• Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
• Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on depth.
• Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable).
• Understanding of fundamental data engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping.
• Familiarity with Git, code review practices, and basic CI/CD concepts.
• Good communication skills able to ask clarifying questions, communicate progress clearly, and learn from feedback.
• Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
• Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time.
Preferred:
• Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
• Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
• Exposure to Iceberg tables or other modern open table formats.
• Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, ServiceNow HR, or comparable HR systems of record.
• Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming).
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them.
• Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations.
Company:
UST HealthProof offers risk adjustment, quality programs, and healthcare payer technology services. It is a sub-organization of UST. Founded in 1999, the company is headquartered in Aliso Viejo, USA, with a team of 501-1000 employees. The company is currently Late Stage.