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Manager Data Analytics Engineer Jobs in Tualatin, OR

Autodesk

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

... Manager, Data Security Engineering to lead the engineering strategy and execution for data ... This leader will own the data security engineering pillar, with accountability for data ...

MDAEdge

Data Visualization Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... analysts. • Navigate multiple data sources and trace back data pipelines to identify the true ... and managing data • Hands-on experience with Azure and AWS cloud environments • Skilled in ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA · On-site

$105K - $161K/yr

In this role, you will partner closely with data engineers, data scientists, and the supplies ... Typically has 7-10 years of work experience, preferably in data analytics, database management ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... analytics and management reporting. * Define data grain, key structures, and slowly changing ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... analytics and management reporting. * Define data grain, key structures, and slowly changing ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... analytics and management reporting. * Define data grain, key structures, and slowly changing ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... analytics and management reporting. * Define data grain, key structures, and slowly changing ...

Hp

Big Data Laser Analyst

Vancouver, WA · On-site

Typically has 4-7 years of work experience, preferably in data analytics, database management ... Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ...

Procom Consultants Group

Data Analyst

Hillsboro, OR · On-site

... programmer Quantitative research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and ...

Russell, Tobin & Associates

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration ... Develop solutions that support analytics, profitability, and margin improvement. * Partner with ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

... data analysis and integration to support AI-driven initiatives - Utilizing programming languages ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

Procom Consultants Group

Data Analyst

Hillsboro, OR · On-site

... Information Systems, Engineering - Experience extracting and manipulating data from multiple ... Management experience - 2+ years experience with Web Analytics tools such as Adobe Omniture, Web ...

Qorvo, Inc.

Sales Data Analyst Intern

Hillsboro, OR · On-site

$31 - $42/hr

Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue ... Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Business ...

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Showing results 41-60

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Tualatin, OR

Manager Data Analytics Engineer information

See Tualatin, OR salary details

$46.3K

$135.1K

$184.9K

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

As of Sep 8, 2026, the average yearly pay for manager data analytics engineer in Tualatin, OR is $135,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Tualatin, OR?

For Manager Data Analytics Engineer jobs in Tualatin, OR, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Tualatin, OR look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Tualatin, OR are:

What cities near Tualatin, OR are hiring for Manager Data Analytics Engineer jobs?

Cities near Tualatin, OR with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Tualatin, OR as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $135,099 per year, or $65 per hour.

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring, Inc.

Portland, OR • On-site

$121K - $145K/yr

Full-time

Re-posted 10 days ago

Job description

Job Title: Senior Software Engineer- Big Data & MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing - optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.

Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases & SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search & Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend & Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure & DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.

Education: Bachelor's Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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