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Data Engineer Gcp Data Engineer Jobs in Minnesota

Data Engineer

Eagan, MN ยท On-site

$116K - $140K/yr

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data ...

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

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

Data Engineer

Minneapolis, MN ยท On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure ... Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing ...

Data Engineer

Minneapolis, MN ยท 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 ...

Data Engineer

Minneapolis, MN ยท Hybrid

$50 - $55/hr

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 ...

Data Engineer

Minneapolis, MN ยท On-site +1

$75.75 - $83.33/hr

... to modern GCP-based data platform. Outcome: Identify data variance between legacy and modern ... Strong communication and collaboration skills with the ability to work closely with engineering ...

Data Engineer

Rochester, MN ยท On-site

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Saint Cloud, MN ยท On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Plymouth, MN ยท On-site

$119K - $143K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Duluth, MN ยท On-site

$127K - $153K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Sr Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

Master's degree in Computer Science, Engineering, or a related field Experience in one or more of AWS, Azure, and GCP cloud ecosystems and associated big data services Experience tuning and ...

Sr. Data Engineer

Minneapolis, MN ยท 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

Saint Paul, MN ยท On-site

$105K - $112K/yr

The Data Engineer is a core member of the APMG Technology team, responsible for building and maintaining data pipelines, integrations, and models that power the organization's reporting and ...

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 ...

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements. SCHEDULE: Full-Time, Monday-Friday, 8:00am-5:00pm COMPENSATION: Starting Pay $82,000 ...

Senior Data Engineer

Minneapolis, MN ยท 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 Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements. SCHEDULE: Full-Time, Monday-Friday, 8:00am-5:00pm COMPENSATION: Starting Pay $82,000 ...

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Data Engineer Gcp Data Engineer information

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

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 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.
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Data Engineer

$116K - $140K/yr

Full-time

Posted 17 days ago


Job description

Data Engineer | Eagan, Minnesota, United States Data Engineer - Tech Lead (GCP, Apache Beam, Airflow) Location: Eagan, MN (Remote Eligible) | Job Type: C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data engineer. You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative team of nine data engineers. This is a rare opportunity to shape the future of our data platform, influence roadmap decisions, and play a key role in critical projects within a highly visible healthcare or financial environment. Responsibilities - Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL - Lead technical decision-making, set engineering standards, and ensure data quality and reliability across the platform - Guide and mentor junior and mid-level engineers through code reviews, technical support, and knowledge sharing - Collaborate closely with product owners and stakeholders to develop and execute data engineering strategy - Drive continuous improvement and innovation within the Rebate Data Warehouse ecosystem Required Skills and Experience - Hands-on experience with GCP Data Engineering tools: Google Cloud Storage, BigQuery, Looker Studio, Cloud Composer, Gsutil, Dataplex - Deep knowledge of Apache Beam and Apache Airflow - Strong proficiency in Python and SQL for data processing and transformation - Proven track record using GitHub in a collaborative environment - Experience in PBM, healthcare, or financial industry data environments - Flexibility, adaptability, and excellent communication skills Preferred Skills - Java familiarity or experience - Exposure to SnapLogic Benefits - Opportunity to drive strategy and influence technology direction - Leadership and mentorship opportunities to advance your career - Collaborative, supportive team culture - Exposure to cutting-edge cloud and data technologies How to Apply Ready to take the lead in data engineering and make a real impact? Submit your resume today to join our high-performing team!

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US