132 Remote Analytics Engineer Jobs
Explore top remote analytics engineer jobs and find flexible roles such as data engineer, data scientist on Kickstart Remote. Work from anywhere and advance your career today!
Data Analytics Specialist – School of Public Health, Prevention Research Center
Data Analytics Specialist providing critical data management and support at West Virginia University's Prevention Research Center. Involves database development and data visualization for community projects.
Senior Data & Analytics Engineer
Senior Data & Analytics Engineer at BizzyCar transforming automotive care experience with data-driven decisions. Leading a data team, managing data initiatives, and influencing product and strategy.
Senior Data/Platform Engineer – Embedded, Data & Analytics Engineering
Senior Data / Platform Engineer embedded in Data & Analytics Engineering team. Accelerating delivery and enhancing data platform capabilities with Python and cloud technologies.
Senior Analytics Engineer
Senior Analytics Engineer designing and building datasets and pipelines for insights at Khan Academy. Collaborating with teams to ensure data reliability and accessibility.
Analytics Engineer
Analytics Engineer responsible for building and maintaining data pipelines at CompanyCam. Collaborating with teams to ensure reliable data for decision-making and reporting.
Analytics Developer
Analytics Developer delivering data warehouse and analytic solutions at Northwestern Medicine. Writing ETL packages, developing visualizations, and conducting data analysis for health care.
ETL Developer
ETL Developer joining Data Ideology to leverage business and technical knowledge for data integration. Collaborating with teams to fulfill business requirements throughout the analytics lifecycle.
Data Engineer, Analytics Engineer – Mid-Senior Level
Mid-senior level Data Engineer / Analytics Engineer at All Generation Tech. Collaborating on sustainable projects and translating business requirements into scalable data models and pipelines.
Data/Analytics Engineer
Data/Analytics Engineer responsible for data pipelines and infrastructure at AI observability platform. Collaborate on analytics to optimize AI performance and troubleshoot data connectors.
Staff Analytics Engineer
Founding Staff Analytics Engineer at Nema Health building and leading data function. Collaborating cross-functionally to support self-service analytics for trauma-focused virtual treatment program.
Manufacturing Analytics Engineer
Manufacturing Analytics Engineer transforming raw plant data into actionable insights for operational excellence at Prysmian. Managing data pipelines and collaborating with OT, IT, and Engineering teams for seamless data flow.
Analytics Engineer
Analytics Engineer developing data models at Asaas fintech. Collaborating to enhance data governance and quality in data transformation.
Analytics Engineer
Analytics Engineer assisting full-stack development of tools at Farmer Business Services. Working on back-end with Node.js, front-end with Angular, and data validation with SQL and Python.
Analytics Engineering Manager
Analytics Engineering Manager leading the transformation of data into trusted business understanding at Kin. Overseeing Looker platform and mentoring analytics engineers.
Staff Analytics Engineer, Business Intelligence
Analytics Engineer designing reporting systems at Lime, the global leader in shared micromobility. Collaborate with Finance to optimize critical business reporting workflows and ensure data integrity.
Analytics Engineer
Analytics Engineer designing data models and collaborating with teams on cloud data infrastructure. Utilizing Microsoft Fabric to produce actionable insights and reporting.
Analytics Engineer 3
Analytics Engineer modeling data to drive business insights for Hyland. Collaborating on data infrastructure and building reliable data assets.
Data Analytics Engineer
Data Analytics Engineer supporting data governance decisions and ensuring high data quality for effective decision-making. Collaborating with cross-functional teams and enabling analytics capabilities.
Analytics Engineer
Junior Analytics Engineer developing data models and enabling analytics for Glow25. Collaborating with teams and maintaining data accuracy in a fast-growing beauty company.
Analytics Engineer
Analytics Engineer transforming Shopify data into analytics-ready datasets at EX Squared. Building scalable data models and supporting analytics teams with clean datasets.
Remote analytics engineer salary expectations & hiring insights
Looking to build your career in analytics engineer?
According to our job data analysis, the average remote analytics engineer salary is $334,991 per year, based on insights from over 132 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote analytics engineers continues to grow rapidly, with top companies like Truelogic Software and RTX offering roles such as Data Engineer and Data Scientist.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Entry-level | $31 |
| Junior | $90,660 |
| Mid-level | $639,476 |
| Senior | $380,837 |
| Lead | $187,269 |
Skills hiring teams expect
Hiring managers consistently highlight SQL (17.9%) as the must-have skill for remote analytics engineer roles. Python (12.1%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
17.9%
12.1%
9.5%
7.5%
6.1%
Companies leading remote hiring
Organizations such as Truelogic Software (4), RTX (4), Viseven (3), CI&T (3), and Coinbase (2) have published the most openings lately, offering a snapshot of the employers investing in distributed analytics engineer talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed analytics engineers openings, capturing 57.1% of the listings we track. 🇨🇦 Canada adds another 14.3%, proving that teams are scaling far beyond a single time zone. Use this regional data to target your outreach and tailor availability windows.
12 listings
3 listings
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Education trends
Bachelor Degree remains the most frequently cited credential, appearing in 98.7% of verified postings. High School requirements show up in 1.3% of roles, so highlight comparable experience if your path differs. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
98.7% of postings
1.3% of postings
Ask our talent partners
FAQs about Analytics Engineer
Quick answers we share most often with job seekers exploring analytics engineer paths.
Question 1What skills do you need to get a remote Analytics Engineer job?
You need strong skills in SQL and Python for data transformation, along with experience in ETL processes and cloud platforms. Familiarity with visualization tools like Tableau also helps you build data products for stakeholders.
Question 2What qualifications do you need to get a remote Analytics Engineer job?
Most employers look for a bachelor's degree in a quantitative field and proven experience with data modeling. Practical knowledge of data warehousing and building reliable data pipelines is often more important than a specific major.
Question 3What are the responsibilities of someone who does a remote Analytics Engineer job?
A remote Analytics Engineer builds and maintains data pipelines to ensure data is accurate and accessible. They also create clean data sets for analysis and collaborate with teams using tools like Slack and Zoom.
Question 4What are the benefits of a remote Analytics Engineer job?
This role offers great location flexibility and often leads to better work-life balance. You also gain exposure to diverse teams and data systems without a daily commute.
Question 5What does a typical day look like for a remote Analytics Engineer?
A typical day involves writing and reviewing SQL code, fixing data quality issues, and joining virtual meetings. You might also design new data models to support business reporting in Tableau.
Question 6What tools do remote Analytics Engineer teams commonly use?
Teams frequently use dbt for data transformation, Snowflake or BigQuery for data warehousing, and Git for version control. Communication happens through Slack, while Tableau or Looker creates visualizations.
Question 7How can you grow your career as a remote Analytics Engineer professional?
You can grow by mastering advanced data modeling techniques and learning new cloud data platforms. Taking ownership of complex data projects also increases your visibility and impact within the organization.
Question 8Why is Analytics Engineer important in remote-first companies?
Analytics Engineers create a single source of truth for distributed teams, which prevents miscommunication. They build the reliable data infrastructure that supports all decision-making across the company.