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Remote Looker Developer Jobs in Michigan (NOW HIRING)

LHH US

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Looker / Looker Studio * Bonus experience: * APIs or data integration * Programming (Python or ... We will not consider remote candidates. Pay Details: $70,000.00 to $120,000.00 per year Search ...

Rithum LinkedIn Board

$60K - $93K/yr

Ability to interpret reports and compare analytics, experience with tools like Looker and PowerBI ... Achieve work-life balance through remote-first working conditions, generous time off, and wellness ...

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Remote Looker Developer information

What are the key skills and qualifications needed to thrive as a Remote Looker Developer, and why are they important?

To thrive as a Remote Looker Developer, you need strong skills in SQL, data modeling, and business intelligence, typically supported by experience with Looker and a background in computer science or data analytics. Familiarity with LookML, version control systems (such as Git), and cloud data warehouses like BigQuery or Redshift is essential. Excellent communication, problem-solving abilities, and self-motivation are important soft skills for collaborating virtually and translating business requirements into data solutions. These skills ensure effective data visualization, actionable insights, and seamless teamwork in a remote environment.

What are some common challenges faced by Remote Looker Developers, and how can they be addressed?

Remote Looker Developers often encounter challenges such as collaborating effectively with distributed data teams, managing different time zones, and ensuring data security across remote environments. To address these, it's important to establish clear communication channels (like Slack or project management tools), schedule regular check-ins, and follow best practices for version control and documentation. Utilizing secure VPN connections and adhering to company data governance policies also helps maintain data integrity and compliance while working remotely.

What is a Remote Looker Developer?

A Remote Looker Developer is a data professional who specializes in creating, managing, and optimizing data models, dashboards, and reports using Looker, a business intelligence and data visualization platform. They work remotely, collaborating with teams via digital communication tools to gather requirements, transform data sources, and deliver analytics solutions that help organizations make data-driven decisions. Remote Looker Developers are skilled in LookML (Looker's modeling language), SQL, and often have experience with cloud data warehouses and analytics best practices.

What is the difference between Remote Looker Developer vs Data Analyst?

AspectRemote Looker DeveloperData Analyst
Primary RoleDesigning and developing dashboards and reports using LookerAnalyzing data to identify trends and insights
Skills & CertificationsLooker certifications, SQL, data modelingExcel, SQL, data visualization tools
Work EnvironmentRemote, tech-focused teams in various industriesRemote or on-site, across multiple industries
Employer UsageCompanies using Looker for BI solutionsOrganizations seeking data-driven decision making

While both roles involve working with data, a Remote Looker Developer specializes in creating dashboards and reports within Looker, requiring technical skills like data modeling and Looker certifications. A Data Analyst focuses on interpreting data to provide insights, often using a broader set of tools. Both roles can be remote and are vital in data-driven organizations, but their core responsibilities differ.

What are the most commonly searched types of Looker Developer jobs in Michigan? The most popular types of Looker Developer jobs in Michigan are:
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Remote Looker Developer jobs near you
Senior Data Engineer (Snowflake + DBT)

Senior Data Engineer (Snowflake + DBT)

CMK Resources Inc

Troy, MI • On-site, Remote

$107.30K - $128.90K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

CMK Resources is seeking a Senior Data Engineer (Snowflake + DBT required) for a client based in Michigan. This role supports analytics and data-platform initiatives that enable better health outcomes and efficient benefit management that our client seeks to improve for in-home healthcare providers and members.
Location: Detroit metro preferred (Troy, MI) - hybrid onsite Thursdays; remote possible if needed but candidate must meet most requirements
Eligibility: US Citizen or Green Card only
Key responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
  • Build and optimize data models in Snowflake to support BI, reporting, and analytics.
  • Implement ETL/ELT workflows with dbt to transform raw data into analytics-ready datasets.
  • Tune Snowflake queries, storage/compute usage, and dbt models for performance and cost efficiency.
  • Integrate Snowflake with diverse internal systems and third-party data sources.
  • Implement data quality checks, monitoring, and validation processes.
  • Collaborate with data analysts, data scientists, engineers, and business stakeholders to translate requirements into solutions.
  • Produce and maintain clear documentation for data models, transformations, and pipeline designs.
Required skills & qualifications
  • 5+ years hands-on data engineering experience.
  • Expert SQL skills - writing, optimizing, and debugging complex queries.
  • Proven hands-on Snowflake experience (data modeling, query tuning, architecture/integration).
  • In-depth dbt experience (models, macros, tests, CI/CD/workflow orchestration).
  • Solid understanding of cloud data warehousing concepts and best practices.
  • Experience with ETL/ELT patterns, data quality frameworks, and observability/monitoring.
  • Strong analytical, problem-solving, and communication skills; able to work cross-functionally.
Nice-to-haves
  • Experience with orchestration tools (Airflow, Prefect, Dagster).
  • Familiarity with BI tools (Looker, Tableau, Power BI) and analytics consumption patterns.
  • Python or another scripting language for data engineering tasks.
  • Prior experience in healthcare, claims, or DMEPOS/benefits environments.

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