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Manager Data Analytics Engineer Jobs in Oregon (NOW HIRING)

$83K - $144K/yr

Successful candidates demonstrate competency in data pipelining, data analysis, statistics, programming, project execution, tool development and optimization, and critical thinking paired with ...

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 AM-5 PM Scheduled ... The Senior Manager for Data Engineering is a hands-on role that will play a pivotal role at the ...

The Manager of Data Engineering will lead a team responsible for designing, building, and ... analysts, and other stakeholders to understand data requirements and deliver solutions. - Ensure ...

Lead the design and delivery of analytics-ready data models and transformation layers using dbt as the standard framework * Establish and enforce dbt development standards, including model design ...

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team's work. Collaborate with senior management to define and execute the company's data ...

Lead GTM Analytics Engineer

OR · Remote

$160K - $170K/yr

The Lead GTM Analytics Engineer owns the data model that powers Valimail's go-to-market execution across Sales, Marketing, Customer Success, and Partnerships. This role defines the metrics ...

OR · On-site

$114K - $137K/yr

You will collaborate closely with data scientists, analytics engineers, and cross-functional ... Experience in data quality initiatives such as Master Data Management (MDM). * Experience ...

OR · On-site

$167K - $249K/yr

Address data quality issues and build in alerting * Partner with data science, finance & strategy, marketing, sales, product, and engineering on analytics engineering strategy to enable data-driven ...

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

OR · On-site

Collaborate with Analytics Engineering to ensure seamless model deployment and monitoring Advanced ... roles managing data scientists or ML engineers * Proven track record building and deploying ML ...

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Showing results 1-20

Manager Data Analytics Engineer information

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.

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 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.
What are the most commonly searched types of Data Analytics Engineer jobs in Oregon? The most popular types of Data Analytics Engineer jobs in Oregon are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Oregon? For Manager Data Analytics Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Oregon look for? The top searched job categories for Manager Data Analytics Engineer jobs in Oregon are:
What cities in Oregon are hiring for Manager Data Analytics Engineer jobs? Cities in Oregon with the most Manager Data Analytics Engineer job openings:
Energy Data Analytics Lead

$83K - $144K/yr

Other

Posted 8 days ago


Job description

Overview

LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data pipelining, data analysis, statistics, programming, project execution, tool development and optimization, and critical thinking paired with functional knowledge of infrastructure, energy, or environment data. 

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Support a major civilian federal agency while leading data engineering initiatives across LMI as needed.
  • Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability.
  • Design and develop new data tools and solutions to support reporting, analytics, and business needs.
  • Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division.
  • Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.
Qualifications

Required: 

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline. 
  • Broad working familiarity with data analysis, automation, dashboards, databases, cloud data tools, APIs, and lightweight application or scripting approaches. 
  • Experience using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to improve reporting, analysis, or operational workflows. 
  • Working knowledge of data pipelines and data transformation concepts, including data ingestion, validation, reconciliation, refresh processes, and documentation. 
  • Ability to evaluate existing tools and workflows, identify technical risks or inefficiencies, and recommend practical improvements across multiple possible technological approaches. 
  • Ability to coordinate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation. 
  • Ability to explain technical work in concrete terms, including the problem addressed, tools used, users served, tradeoffs considered, and maintenance approach. 

Desired: 

  • Federal consulting experience preferred.
  • Experience with Google Workspace, especially Google Sheets and Google Apps Script. 
  • Experience with Google Cloud Platform, BigQuery, or comparable cloud database environments. 
  • Experience with BI or visualization tools such as Looker Studio, Tableau, Power BI, MicroStrategy, Qlik, or similar platforms. 
  • Familiarity with REST APIs, JSON, web technologies, ETL tools, or advanced analytics methods. 
  • Experience modernizing manual, spreadsheet-based, or legacy reporting workflows into more reliable and scalable processes. 
  • Experience working with federal energy or sustainability data processes.

Target salary range: $83,367 - $144,404.55

Disclaimer: 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Employment Type: OTHER