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Weekend Data Engineering Jobs in Oregon (NOW HIRING)

ConnectWise

OR

The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge.

Netflix

OR

$446K - $752K/yr

The Ads data engineering team builds centralized and large-scale datasets that support the overall goals of our Ads data initiatives, focusing on the creation of standardized, scalable datasets ...

Doximity

Data Engineering Manager

OR · On-site +1

$172K - $254K/yr

Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. * You are experienced in creating ...

Natera

OR

$114K - $137K/yr

Head of Data Engineering & Platform, Real-World Data (RWD)POSITION SUMMARY Natera is seeking a leader to head Data Engineering and Platform for Real-World Data (RWD). This role will in partnership ...

CFS

Data & Platform Engineer

Beaverton, OR · Hybrid

$119K - $143K/yr

... in Data Engineering, Analytics Engineering, Business Applications, or a related technical role. * Strong experience with SQL Server and/or PostgreSQL. * Hands-on experience with Microsoft Power ...

Prescryptive

OR

$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 ...

Cinder LLC

Data & Platform Engineer

Beaverton, OR · On-site

$107K/yr

This role combines data engineering, Power Platform development, analytics enablement, and systems integration with a focus on automation, data reliability, and business reporting. This is a direct ...

New

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Flexential

OR · On-site

$100K - $110K/yr

This role extends beyond traditional data engineering to include system-to-system integration using Boomi, orchestration of business-critical workflows, and active participation in the design and ...

Montefiore

Data Engineer - Research Informatics

Odell, OR · On-site

$117K - $140K/yr

Implement CI/CD pipelines and best practices for data engineering assets, ensuring reproducibility, version control, and reliable deployment of research data pipelines and datasets * Design and ...

ClickHouse

OR

$114K - $137K/yr

This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed ...

Logistics Management Institute

$122K - $180K/yr

Minimum of 5 years of hands-on data engineering experience in enterprise or DoD environments * Strong proficiency in SQL and Python (or Scala) for data transformation and pipeline development

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All JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Oregon

Weekend Data Engineering information

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Oregon? The most popular types of Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Weekend Data Engineering jobs? Cities in Oregon with the most Weekend Data Engineering job openings:
Weekend Data Engineering jobs near you

Data Engineering Manager

BizTek People, Inc. | APA International Placement Consultants

Hillsboro, OR • On-site

Contractor

Posted 10 days ago

Job description

Job Description
WHO ARE WE LOOKING FOR
We are looking for an experienced Data Engineering Manager to lead and manage a team of data engineers and analysts working on building scalable data and analytics solutions. This person will participate in architecture and design discussions, own end-to-end solution delivery, stakeholder management, partner with platform engineering, collaborate with other engineering teams, and will guide and mentor data engineers. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong business acumen, and an innate drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and stakeholders. He/she will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.
WHAT WILL YOU WORK ON
In this role, you will manage an engineering team focused on building and delivering scalable data and analytics solutions in our Direct, Supply Chain, and Commercial space. The team will design, implement and integrate new technologies and evolve data and analytics products. You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.
WHO WILL YOU WORK WITH
This role is part of the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You'll be working closely with Internal stakeholders, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of our maxims is "Win as a Team" and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.
Requirements
WHAT YOU BRING
  • Bachelor's or Master's degreein Computer Science or related field
  • 10+ years relevant workexperience in the Data Engineering field
  • 4+ years experience inleading and managing engineering teams
  • 4+ years experience workingwith Hadoop and Big Data processing frameworks (Spark, Hive, Nifi,Spark-Streaming, Flink, etc.)
  • 2+ years experience buildingscalable, real-time and high-performance cloud data lake solutions
  • Strong experience withrelational SQL and programming languages such as Python, Scala, or Java
  • Experience with sourcecontrol tools such as GitHub and related CI/CD processes
  • Experience working with BigData streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQLdata stores such as HBase, DynamoDB, etc.
  • Experience provisioningRESTful API's to enable real-time data consumption
  • Experience working in AWSenvironment primarily EMR, S3, Kinesis, Redshift, Athena, etc
  • Experience with datawarehouses/RDBMS like Snowflake & Teradata
  • Experience with workflowscheduling tools like Airflow
  • Strong understanding ofalgorithms, data structures, data architecture, and technical designs.
  • Has a strong problem solvingand analytical approach.

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