ZipRecruiter

Log In

1

Senior Databricks Data Engineer Jobs in Oregon (NOW HIRING)

Imagine Pediatrics

OR

$150K - $180K/yr

What You'll Do As a Senior Data Engineer at Imagine Pediatrics, you will design, build, refactor, and maintain the data models and pipelines that power product, clinical analytics, and operational ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Snowflake or Databricks) * Experience with lambda and kappa architectures * Experience with iPaaS ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as ...

Human Interest

OR

$105K - $143K/yr

About the role As a Senior Data Engineer on the Data Access team, you will be a technical anchor for Human Interest's data platform at a pivotal moment in Human Interest's growth. This role exists to ...

New

Point C

OR · On-site

The Senior Power BI Developer is responsible for designing, developing, and supporting enterprise ... Experience with Azure-based data platforms (e.g., Azure SQL, Databricks, Data Factory, or Synapse ...

Waymark

OR · On-site

$125K - $172K/yr

This is a senior to principal-level individual contributor role who combines deep backend engineering fundamentals with specialized expertise in Electronic Health Record (EHR) data integration. You ...

The Motley Fool

OR

$105K - $143K/yr

We are seeking a Senior Data Engineer to design, build, and take full ownership of the data infrastructure powering our investment operations. You will own the complete data lifecycle, spanning ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

Reporting directly to the Senior Director of Data Engineering, this role demands technical ... Work extensively with Databricks and various AI toolings for large-scale data processing and ...

Prescryptive

OR · On-site

$114K - $137K/yr

As a senior technical expert, you will collaborate cross-functionally with engineering, analytics, and product teams to design data systems that are secure, efficient, and cost-effective. You will ...

9th Way Insignia

OR

The position is a Senior Engineer-level, individual-contributor role supporting the VA Office of ... Experience with Databricks and Synapse.

New

ClickHouse

OR

$114K - $137K/yr

About the role As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem.

Aptive

... Databricks/Azure, and other data sources to support reliable program reporting. * Translate ... Partner with analysts, data engineers, program managers, and VA stakeholders to move ad hoc ...

New

Amerilife Group, LLC

OR

Experience with Databricks notebooks, clusters, and workflows for data science and ML * Working knowledge of PySpark for large-scale data processing and feature engineering * Advanced SQL skills ...

Imagine Pediatrics

OR

$180K - $200K/yr

Required * 7-10+ years of data engineering or platform engineering experience, including at least 2+ years in a senior or staff-level role owning production data systems. * Strong experience ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Oregon

Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

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

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Oregon? The most popular types of Databricks Data Engineer jobs in Oregon are:
What are popular job titles related to Senior Databricks Data Engineer jobs in Oregon? For Senior Databricks Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Senior Databricks Data Engineer jobs in Oregon look for? The top searched job categories for Senior Databricks Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Senior Databricks Data Engineer jobs? Cities in Oregon with the most Senior Databricks Data Engineer job openings:
Senior Databricks Data Engineer jobs near you

Senior Data Engineer

Imagine Pediatrics

OR

$150K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

What You'll Do

As a Senior Data Engineer at Imagine Pediatrics, you will design, build, refactor, and maintain the data models and pipelines that power product, clinical analytics, and operational reporting across the organization. This role requires a mix of technical expertise and analytical thinking, applying engineering best practices to transform raw data from a variety of sources into well-defined, consumable datasets and making them accessible in multiple systems. You will:

  • Design and build scalable, well-tested DBT models.
  • Develop and maintain scalable ELT pipelines, ensuring observability and reliability across workflows while leveraging multiple languages and frameworks.
  • Write performance-aware SQL, understand query execution, and identify and resolve bottlenecks in queries and pipelines.
  • Improve existing patterns in the codebase and establish new ones.
  • Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward. Work closely with engineers across teams to resolve dependencies, facilitate alignment on technical decisions, and mentor other engineers.
  • Document logic, business rules, and methodology to promote transparency and enable teammates to reference and build on your work.
What You Bring & How You'll Qualify

You are driven by curiosity and committed to reimagining pediatric healthcare and creating a world where every child with complex medical conditions gets the care and support, they deserve. You thrive in a fast-paced startup environment, embrace change as an opportunity for growth, and bring both engineering depth and a collaborative mindset. You are proactive, identify gaps in your own skillset and take action to improve, and aren't afraid to push back on unclear assumptions.

Required
  • 5-7+ years of healthcare data engineering or analytics engineering experience, with expert-level SQL proficiency and strong data modeling fundamentals.
  • Strong experience with dbt and orchestration tools.
  • Experience with cloud data warehouses, preferably Snowflake, including performance-aware SQL development and query optimization.
  • Experience designing scalable data models, including incremental approaches, and implementing comprehensive testing strategies.
  • Comfort working with the command line and modern engineering practices, including version control, CI/CD, testing, and code review.
  • Proven ability to troubleshoot complex data issues across ingestion, transformation, and warehouse layers, and to communicate findings and solutions effectively to technical and non-technical audiences.
  • Proven ability to reason about the downstream analytical impact of pipeline and model design, including data freshness, grain, and transformation behavior.
Preferred
  • Proficiency in Python for automation, tooling, or pipeline development.
  • Experience building API-based and event-driven ingestion systems.
  • Experience with AWS services such as Lambda, SQS, SNS, and S3.
  • Experience working with FHIR resources and clinical systems.
  • Experience with high-volume ingestion tools (e.g., Hevo, Fivetran, or similar).

What We Offer (Benefits + Perks) 
The role offers a base salary range of $150,000 - $180,000 in addition to annual bonus incentive, competitive company benefits package and eligibility to participate in an employee equity purchase program (as applicable). When determining compensation, we analyze and carefully consider several factors including job-related knowledge, skills and experience. These considerations may cause your compensation to vary. 
We provide these additional benefits and perks:

  • Competitive medical, dental, and vision insurance 
  • Healthcare and Dependent Care FSA; Company-funded HSA
  • 401(k) with 4% match, vested 100% from day one
  • Employer-paid short and long-term disability 
  • Life insurance at 1x annual salary 
  • 20 days PTO + 10 Company Holidays & 2 Floating Holidays 
  • Paid new parent leave
  • Additional benefits to be detailed in offer 

Apply