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

SQL Software Engineer

Gresham, OR · On-site

$90 - $120/hr

Do you want to leverage your SQL skills to develop healthcare data solutions? Mainz Brady Group, a leading IT staffing firm, is searching for a SQL Software Engineer to design, develop, and maintain ...

New

... Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ... Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud services ...

Showing results 41-60

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 Aug 19, 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.

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

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.

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 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:

Infographic showing various Manager Sql Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

$110K - $149K/yr

Contractor

Re-posted 7 days ago


Job description


Responsibilities
• Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem.Ability to design and implement end to end solution.
• Build utilities, user defined functions, and frameworks to better enable data flow patterns.
• Research, evaluate and utilize new technologies/tools/frameworks centered around Hadoop and other elements in the Big Data space.
• Build and incorporate automated unit tests, participate in integration testing efforts.
• Work with teams to resolving operational & performance issues
• Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to.
Qualifications
• MS/BS degree in a computer science field or related discipline
• 6+ years' experience in large-scale software development
• 2+ year experience in Hadoop
• 2+ year experience in Data Science
• Strong development skills around Hadoop, Spark, MapReduce, Hive
• Strong Java programming, Python, shell scripting, and SQL
• Good understanding of file formats including Parquet, Avro, JSON and others
• Good understanding of R, TensorFlow, SAS or similar
• Experience with performance/scalability tuning, algorithms and computational complexity
• Experience (at least familiarity) with data warehousing, dimensional modeling and ETL development
• Proven ability to work cross functional teams to deliver appropriate resolution
Nice to have
• Experience with AWS components and services, particularly, EMR, S3, and Lambda
• Front end UI development experience, specifically Node JS or Angular JS
• Machine learning frameworks