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Manager Sql Data Engineer Jobs in Portland, OR (NOW HIRING)

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Senior Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and ... Metadata management, Data lifecycle management, Master Data Management concepts. * Strong ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Senior Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and ... Metadata management, Data lifecycle management, Master Data Management concepts. * Strong ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Senior Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and ... Metadata management, Data lifecycle management, Master Data Management concepts. * Strong ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Senior Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and ... Metadata management, Data lifecycle management, Master Data Management concepts. * Strong ...

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... managers to build a cross-capability data foundation and a semantic layer that powers Advanced ... SQL, and Apache Spark * Hands-on experience with the Databricks Lakehouse Platform, Medallion ...

... Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging ... SQL DB, GCP Cloud Storage etc. - Implementing data integration solutions using AWS Glue, AWS Lambda ...

Experience with SQL Server and modern SQL-based cloud data warehouses, e.g. Snowflake, BigQuery ... Solid understanding of data management principles, relational data structures, and data modeling ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Experience with SQL Server and modern SQL-based cloud data warehouses, e.g. Snowflake, BigQuery ... Solid understanding of data management principles, relational data structures, and data modeling ...

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests ... Strong command of best practices applied in relational databases and SQL as well as Extract ...

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Manager Sql Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do manager sql data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for manager sql data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What does a Manager SQL Data Engineer do?

A Manager SQL Data Engineer oversees a team responsible for designing, developing, and maintaining SQL databases that store and organize large amounts of data. They manage data engineering projects, ensure best practices in data modeling and ETL processes, and work closely with other departments to understand data needs. In addition to technical responsibilities, they provide leadership, mentor junior engineers, and ensure data security and integrity across the organization. Their role is critical in making sure data systems are efficient, reliable, and scalable.

How does a Manager SQL Data Engineer typically collaborate with cross-functional teams within an organization?

A Manager SQL Data Engineer frequently works alongside data analysts, software engineers, business intelligence teams, and key business stakeholders to ensure data solutions align with organizational goals. This collaboration often involves gathering requirements, translating business needs into technical specifications, and overseeing the development and deployment of data pipelines and databases. The manager also facilitates communication between technical and non-technical team members, ensuring that data strategies are clearly understood and effectively implemented across departments.

What are the key skills and qualifications needed to thrive as a Manager SQL Data Engineer, and why are they important?

To thrive as a Manager SQL Data Engineer, you need deep expertise in SQL development, database architecture, data modeling, and leadership experience, usually supported by a degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), ETL tools, and certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Strong communication, problem-solving, and team management skills help you effectively lead data engineering teams and collaborate cross-functionally. These skills ensure robust data solutions, efficient team performance, and alignment of data systems with business objectives.
What are the most commonly searched types of Sql Data Engineer jobs in Portland, OR? The most popular types of Sql Data Engineer jobs in Portland, OR are:
What are popular job titles related to Manager Sql Data Engineer jobs in Portland, OR? For Manager Sql Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Manager Sql Data Engineer jobs in Portland, OR look for? The top searched job categories for Manager Sql Data Engineer jobs in Portland, OR are:
Infographic showing various Manager Sql Data Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Contractor

Posted 5 days ago


Job description


APLA Data Engineer
Remote Beaverton
Overview
• Seeking a seasoned, hands-on SQL Data Analyst with deep knowledge with Snowflake and Teradata
• Proven experience focused on data analytics, and data reporting using the following toolset: Cognos & Tableau.
• Ability to work as a Lead Data Analyst that can also mentor and guide Junior Data Engineers (20-30 on the team) an guide issues in data performance across geographies in APLA.