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Azure Big Data Engineer Jobs in Oregon (NOW HIRING)

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and ... Familiarity with Google Cloud or AWS big data products We're open to allowing the right person to ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Staff Data Engineer At A-dec, we do more than create the highest quality products and services for ... Experience with Azure environment * Experience developing cloud data warehouses (e.g. Snowflake or ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Staff Data Engineer At A-dec, we do more than create the highest quality products and services for ... Experience with Azure environment * Experience developing cloud data warehouses (e.g. Snowflake or ...

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

About the team Ads Data Engineering team sits at the core of building a data ecosystem that will ... Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc. Experience with ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Experience with Azure environment * Experience developing cloud data warehouses (e.g. Snowflake or ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Experience with Azure environment * Experience developing cloud data warehouses (e.g. Snowflake or ...

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Experience with Azure environment. * Experience developing cloud data warehouses (e.g. Snowflake or ...

Experience with big data technologies like Spark, Hadoop, and Presto/Trino is a plus. * Strong ... Amazon AWS, Google Cloud, or Microsoft Azure. * Bonus points: Certification in Solutions ...

... engineering, specifically within Databricks and ... Azure. To effectively manage this project and move data between zones in Databricks, the ideal ...

REQUIRED QUALIFICATIONS * 2+ years of experience in a data engineering role. * Bachelor's degree in ... Experience with big data processing technologies. * Experience with data visualization and ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Microsoft Azure Solutions Architect Expert or equivalent certifications. * Databricks Certified Data Engineer Professional or equivalent certification. * Experience implementing enterprise metadata ...

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 ... You see the big picture and understand the cascading effects of your changes. Stays calm under ...

Data Governance- Manager

Portland, OR · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Showing results 41-60

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

What job categories do people searching Azure Big Data Engineer jobs in Oregon look for?

The top searched job categories for Azure Big Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Azure Big Data Engineer jobs?

Cities in Oregon with the most Azure Big Data Engineer job openings:

Contractor

Re-posted 29 days ago


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.