1

Data Engineer Gcp Data Engineer Jobs in Minnesota

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google Cloud Platform (GCP) while contributing to the architecture and implementation of measurement ...

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

Senior Data Engineer

Minneapolis, MN · Hybrid

$11K - $144K/yr

Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing ... Platform Engineering and Automation * Build and maintain CI/CD pipelines for the automated testing ...

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a ... Familiarity with Google Cloud medallion data architecture and GCP-supported data processing tools.

Sr. Data Engineer

Edina, MN · On-site

$125K - $165K/yr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of ... Deep understanding of data modeling, data architecture, and cloud platforms (AWS, Azure, GCP)

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote ... AWS/GCP acceptable) Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent Object storage-based ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data engineering function within our organization. You will take the lead in building the data infrastructure ...

Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data engineering function within our organization. You will take the lead in building the data infrastructure ...

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Experience developing data systems on major cloud platforms (AWS, GCP, Azure). Hands-on AWS ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Experience developing data systems on major cloud platforms (AWS, GCP, Azure). Hands-on AWS ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Sr. Data Engineer

Wayzata, MN

$116K - $139K/yr

Experience developing data systems on major cloud platforms (AWS, GCP, Azure). Hands-on AWS ... Advanced programming skills in Python, Java, Scala, or similar languages. Expert-level proficiency ...

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Experience with cloud platforms (Azure preferred, AWS or GCP acceptable) * Experience with Azure ...

Data Engineer

Chisago City, MN · On-site

$103K - $124K/yr

Online apparel store Job Summary The Data Engineer builds and maintains the data layer of Kendall Howard's industrial telemetry platform. This role designs the database, develops data pipelines that ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Data Science and Analytics Summary of Job: As a senior analytics engineer, you'll work across a ... Help manage and advance our GCP infrastructure, particularly with BigQuery and GCP integrations.

As a Lead Data Engineer, you will serve as the technical lead for the engineering team, designing ... Experience with cloud platforms (AWS, GCP, or Azure) and associated data services (e.g. S3 ...

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP Corporation? IP Corporation is a privately held, family-owned chemical manufacturing organization with ...

next page

Showing results 1-20

Data Engineer Gcp Data Engineer information

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Minnesota?

For Data Engineer Gcp Data Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Minnesota look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Minnesota with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer

Stellar IT Group

Minneapolis, MN • On-site

$119K - $143K/yr

Contractor

Re-posted 17 days ago


Job description

Overview:
Data Engineer
Richfield, MN 55423 (Local - Hybrid 2 Days/Week)
12+ Months Contract
Project Description:
You will be part of the Myads reporting team responsible for building the measurement, reporting, and insights platform that powers Ads and the broader Retail Media Network. In this role, you will design, develop, and maintain scalable, reliable, and high-performance data solutions that enable advertisers, merchants, and internal teams to measure campaign performance and business impact.
As a Developer, you will build and enhance data pipelines, APIs, and cloud-based services on Google Cloud Platform (GCP) while contributing to the architecture and implementation of measurement platforms. You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and other cross-functional teams to deliver high-quality solutions that meet business needs and support growth objectives. You will participate in the full software development lifecycle, including design, implementation, testing, deployment, and ongoing optimization of data and measurement systems. This role is hybrid, which means you will work some days on site at the client's location and some days virtually from home.
Position Summary/Job Description:
Hire an experienced Data Engineer to design, build, and maintain scalable batch/streaming data pipelines on Google Cloud. The role requires deep SQL expertise, production grade orchestration with Apache Airflow (Cloud Composer), and strong Python for ELT/ETL, with exposure to Postgres.
Skills Overview:
• SQL (5+ years)
• Apache Airflow (Cloud Composer) (3+ years)
• GCP (BigQuery, Dataflow, Pub/Sub, GCS, Composer) (3+ years)
• Python (5+ years)
• Big Data (warehousing/processing concepts, performance)(5+ years)
• Postgres (3+)
Experience
• Design, develop, and operate reliable data pipelines and DAGs using Apache Airflow/Cloud Composer for batch and near real time workflows.
• Build ELT/ETL on GCP services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage; Composer for orchestration); enforce coding, testing, and observability standards.
• Write expert level SQL for modeling, complex transformations, windowing functions, and performance tuning; own query efficiency and cost optimization.
• Develop Python data components (operators, hooks, transforms), packaging and CI/CD for deployment to Composer/Dataflow.
• Work with Big Data ecosystems and MPP warehouses; support data ingestion, schema evolution, and partitioning/clustering strategies.
• Integrate Postgres sources/targets
• Partner with product, analytics, and platform teams; uphold security, compliance, data quality (DQ checks, SLAs), and documentation standards.
What are some preferred/nice to have skills the manager is looking for?
• Who has worked in ads domain.
• Should be able to talk to stakeholders and understand the problem and solve it efficiently
• Preventing data quality issues before they impact users.
• Prioritizing projects and handling multiple requests.
Skills:
SQL,APACHE,PYTHON,GCP,POSTGRES