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Analytics Engineer Jobs in Portland, OR (NOW HIRING)

Flo Analytics

GIS Analyst

Portland, OR · On-site

$80K - $86K/yr

... FLO Analytics (FLO) is seeking a GIS Analyst to join our growing team. FLO operates under Maul ... Local government, utility, environmental, engineering, or planning-related GIS projects * ArcGIS ...

FLO Analytics

GIS Analyst - Portland

Portland, OR · On-site

$80K/yr

... FLO Analytics (FLO) is seeking a GIS Analyst to join our growing team. FLO operates under Maul ... Local government, utility, environmental, engineering, or planning-related GIS projects * ArcGIS ...

Flo Analytics

GIS Analyst - Portland

Portland, OR · On-site

$80K - $86K/yr

... FLO Analytics (FLO) is seeking a GIS Analyst to join our growing team. FLO operates under Maul ... Local government, utility, environmental, engineering, or planning-related GIS projects * ArcGIS ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

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

Nike

Software Engineer

Beaverton, OR · On-site

Build and deliver scalable data and analytics solutions focused on Supply Chain ,Consumer and ... data engineering from ingestion, transformation, and consumption in addition to designing and ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Portland, OR

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Portland, OR? The most popular types of Analytics Engineer jobs in Portland, OR are:
What are popular job titles related to Analytics Engineer jobs in Portland, OR? For Analytics Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Portland, OR look for? The top searched job categories for Analytics Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Analytics Engineer jobs? Cities near Portland, OR with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Senior Data Analytics Platform Engineer (Databricks)

Senior Data Analytics Platform Engineer (Databricks)

US Bank

Gresham, OR

$129K - $171K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

38th of 141 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description
Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we're one of the country's most respected, innovative, ethical and successful financial institutions. We're looking for people who want more than just a job - they want to make a difference! U.S. Bank is seeking a Sr. DevOps Analytics Platform Engineer (Databricks focus) with a DevOps & Software Engineering skillset who will contribute toward the success of our technology initiative developing a modern analytics platform for the business. The candidate will be adept with the agile software development lifecycle and DevOps principles.

Essential Responsibilities

  • Deep understanding of at least one major cloud provider (Azure or AWS) regarding networking (VNet/VPC, PrivateLink), storage (ADLS Gen2, S3), and IAM.

  • Advanced Proficiency in at least one programming language.

  • Extensive experience withTerraformand the Databricks Terraform Provider to manage workspace resources, clusters, and permissions

  • Extensive Experience building and using automation pipelines using, GitLab or similar for CICD and Databricks Asset Bundles (DABs) to deploy notebooks, libraries, and jobs

  • Practical understanding and experience with Databricks Platform Administration andresponsible for build/test/deploy automation for managing workspaces, compute resources (clusters, serverless), and other related activities

  • Practical Experience Implementing automation and administering the Unity Catalog supporting centralized governance, fine-grained access control (catalog, schema, table, row, column) etc.

  • Responsible for designing, developing, testing, operating and maintaining products

  • Takes full stack ownership by consistently writing productionready and testable code

  • Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs

  • Performs analysis on failures, proposes design changes, and encourages operational improvements

  • Makes sound design/coding decisions keeping customer experience in the forefront

  • Takes feedback from code review and applies changes to meet standards

  • Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures

  • Accountable for ensuring all aspects of product development follow compliance and security best practices

  • Exhibits relentless focus in software reliability engineering standards embedded into development standards

  • Embraces emerging technology opportunities and contributes to best practices supporting the bank's technology transformation

  • Contributes to a culture of innovation, collaboration and continuous improvement

  • Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation

Basic Qualifications

  • Bachelor's degree, or equivalent work experience

  • four to six years of relevant experience

Preferred Skills/Experience

  • 3+ years of Databricks Experience
  • 5+ years of Data Platform Experience
  • 10+ years of Data Engineering related experience

  • Demonstrate strong understanding of the Data Engineering personas workflows, particularly around data ingestion and transformation, to ensure we build platform capabilities effectively support endtoend analytics pipelines.

  • Adept with agile software development lifecycle and DevOps principles

  • Complete understanding of a feature, the users impacted, the flows impacted, and the feature's purpose

  • Thorough understanding of the Analytics Engineering domain, how work in this domain relates to the team's objectives/deliverables, and how it contributes to overall business strategy

  • Basic understanding of adjacent teams' business domains

  • Ability to collaborate on all aspects of product development

  • Technically proficient and able to define and fulfill solution requirements for end users

  • Able to communicate processes and results with all parties involved in the product team, including engineers, product owners, scrum masters, thirdparty vendors and customers

  • Proficient understanding of algorithms, data structures, architectural design patterns and best practices

  • Effective problemsolving and analytical skills

This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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