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Sql Developer Data Engineer Jobs in Redmond, WA (NOW HIRING)

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... SQL and Python. • Exposure to Spark (PySpark or Spark SQL) for distributed data transformation ... engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping. • ...

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

At least 5 years of ETL/ELT development using Python, PySpark, and SQL. * Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps. * Demonstrated experience leading and mentoring data ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

SQL and Relational Database Development - Strong experience designing, optimizing, and maintaining ... The AI Data Engineer will play a key role in modernizing data infrastructure, improving data ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and ... Required : • Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests ...

Big Data Engineer

Renton, WA · On-site

$63 - $83.25/hr

Big Data Engineer Location: Renton, Washington Duration: 6 Months Top Three Skills: * 5-years in SQL, SQL Server, Oracle, JDBC * 5-years in Hadoop, HDFS, MapReduce, YARN * 5-years in Sqoop, Oozie ...

Data Engineer, Amazon Fuse

Seattle, WA · On-site

$130K - $156K/yr

The Fuse Data Analytics (DA) team is looking for a Data Engineer to influence Fuse's decisions and ... Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI ...

AWS Cloud Data Engineer

Seattle, WA · On-site +1

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect ... Must have strong skills in SQL, Python, PySpark, and AWS * Experience in designing, developing ...

AWS Cloud Data Engineer

Seattle, WA

$130K - $156K/yr

Must have a background in data engineering - Data Warehouse Development experience would be perfect ... Must have strong skills in SQL, Python, PySpark, and AWS * Experience in designing, developing ...

Data Engineer III Duration: 6 Months Location: Redmond, WA 98052 Job Type: Contract Work Type ... SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

SQL Server - T-SQL, SQL Programming

Redmond, WA · On-site

$50.75 - $69.50/hr

At least 2 years of overall software development experience with good exposure to T-SQL, SQL Programming, Performance Tuning, SQL Azure * Should have shouldered responsibility of ensuring overall ...

Mentor team members by giving/receiving actionable feedback Minimum Qualifications: * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C# ...

SQL Server - T-SQL, SQL Programming

Redmond, WA · On-site

$50.75 - $69.50/hr

At least 2 years of overall software development experience with good exposure to T-SQL, SQL Programming, Performance Tuning, SQL Azure * Should have shouldered responsibility of ensuring overall ...

Mentor team members by giving/receiving actionable feedback Minimum Qualifications: * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C# ...

Showing results 41-60

Sql Developer Data Engineer information

See Redmond, WA salary details

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How much do sql developer data engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for sql developer data engineer in Redmond, WA is $58.91, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $66.78 per hour, depending on experience, location, and employer.

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.
What job categories do people searching Sql Developer Data Engineer jobs in Redmond, WA look for? The top searched job categories for Sql Developer Data Engineer jobs in Redmond, WA are:

Associate Data Engineer

CyberProof

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
CyberProof is a mission-driven company that focuses on transforming lives through technology. 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.
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:
CyberProof is a security services company that intelligently manages your incident detection and response requirements. It is a sub-organization of UST. Founded in 2017, the company is headquartered in Aliso Viejo, USA, with a team of 501-1000 employees. The company is currently Late Stage.