Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 41 hours ago

Analytics Engineer

edgeqtechnologies59 open roles

Pay
$110,000 – $165,000 a yearly
Where
United States
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAnalytics Engineeredgeqtechnologies · United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on edgeqtechnologies's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. edgeqtechnologies postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 41 hours ago

edgeqtechnologies median: 2 days open

The posting

Analytics Engineer

Job Type: Full-Time Work Mode: Fully Remote Location: San Francisco, CA, United States Experience: 3–8 Years Salary: $110,000 – $165,000 per year Employment Type: Permanent

Job Summary

We are looking for a talented Analytics Engineer to transform raw data into reliable, well-structured, and actionable datasets that support business intelligence, reporting, and strategic decision-making.

The ideal candidate will have strong experience in SQL, dbt, data modeling, cloud data warehouses, and modern analytics engineering practices. You will collaborate with data engineers, data analysts, product managers, and business stakeholders to develop scalable analytics solutions.

Key Responsibilities

  • Design, develop, and maintain scalable data transformation pipelines.
  • Build and manage data models using SQL and dbt.
  • Transform raw datasets into clean, reliable, analytics-ready data.
  • Develop and maintain data warehouses and data marts.
  • Create reusable data models for business intelligence and reporting.
  • Implement data quality testing, validation, and monitoring.
  • Optimize SQL queries and improve data warehouse performance.
  • Integrate data from multiple business applications and platforms.
  • Collaborate with data analysts and business teams to understand reporting requirements.
  • Maintain documentation for data models, workflows, and transformations.
  • Ensure data consistency, accuracy, governance, and security.
  • Support dashboards, KPI reporting, and business analytics initiatives.

Required Technical Skills

  • Programming: Advanced SQL, Python.
  • Analytics Engineering: dbt Core, dbt Cloud.
  • Data Warehousing: Snowflake, Google BigQuery, Amazon Redshift.
  • Data Modeling: Dimensional modeling, Star Schema, Snowflake Schema.
  • ETL/ELT: Data transformation, pipeline development, data integration.
  • BI & Visualization: Tableau, Power BI, Looker, Looker Studio.
  • Cloud Platforms: AWS, Azure, or Google Cloud Platform.
  • Data Orchestration: Apache Airflow, Dagster.
  • Version Control: Git, GitHub, GitLab.
  • Data Quality: Great Expectations, dbt tests, data validation.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.
  • 3–8 years of experience in Analytics Engineering, Data Engineering, or a related role.
  • Strong expertise in SQL and data transformation.
  • Hands-on experience with dbt and modern data warehouse platforms.
  • Experience developing scalable and reusable data models.
  • Understanding of data architecture, ETL/ELT workflows, and analytics best practices.
  • Strong analytical, communication, and problem-solving skills.
  • Ability to work independently in a fully remote environment.

Preferred Qualifications

  • Experience implementing modern data stack architectures.
  • Knowledge of business intelligence and reporting frameworks.
  • Experience working with large-scale datasets.
  • Understanding of data governance and data privacy.
  • Experience with CI/CD workflows for analytics projects.
  • Familiarity with Agile development methodologies.

Salary & Benefits

  • Annual Salary: $110,000 – $165,000.
  • Competitive compensation based on experience and skills.
  • Fully remote working opportunity.
  • Health, dental, and vision insurance (subject to employer policy).
  • Paid vacation and holidays.
  • Professional development opportunities.
  • Career growth and advancement opportunities.

Work Schedule

  • Employment Type: Full-Time, Permanent.
  • Working Hours: 40 hours per week.
  • Work Location: Fully Remote.
  • Location Preference: San Francisco, CA, United States.
  • Must be available to collaborate with US-based teams.

Equal Employment Opportunity

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without discrimination based on legally protected characteristics.

Apply Now: Submit your updated resume highlighting your SQL, dbt, data modeling, and analytics engineering experience.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against edgeqtechnologies's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on edgeqtechnologies's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    edgeqtechnologies's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.