Remote Data & Analytics Jobs
287 Remote Jobs available
At a glance: As of 26 Oct 2026, 287 live jobs from 169 employers. 55 were posted in the last 7 days. 29% publish a salary; the median published salary is $183,000 a year (USD). 10 are open to applicants anywhere in the world. Hiring most right now: Pinterest, Reddit and Wealthsimple.
Senior Data Engineer - Real time analytics
NewAircallPosted 17 hours agoFranceSeniorAirflowAWSKafkaSr. AI/ML Engineer (MXC)
NewAlertMediaPosted 18 hours agoMexicoSeniorSenior Staff Software Engineer, Data
NewJuniper SquarePosted 19 hours agoCA · USStaffStaff Analyst, GTM
NewClickUpPosted 20 hours agoCA · USStaffStaff Data Engineer
NewClickUpPosted 21 hours agoCA · USStaffSenior Data Engineer (remote)
NewQualifyze GmbHPosted 23 hours agoWorldwideEUR 60K–70K / yearSeniorAirflowAWSdbtStaff Research Scientist- Interactive Avatars
NewSynthesiaYesterdayEuropeStaffSenior Software Developer
NewParsons CorporationYesterdayUnited StatesUSD 125K–225K / yearSeniorAgileAWSAzureSr. Data Analytics Engineer (R14153)
NewOportunYesterdayIndiaSeniorAgileAirflowApache SparkAssociate Data Engineer
NewBeyondTrustYesterdayIndiaJuniorCI/CDPythonMarketing & GTM Data Analyst
Deepgram2 days agoUnited StatesUSD 115K–148K / yeardbtHubSpotPythonBackend Engineer, Knowledge Graph (Rust)
GitLab2 days agoCA · USUSD 115K–162K / yearRustKafkaRubySenior Data Analyst, Enterprise
1Password2 days agoCA · USSeniordbtSalesforceSnowflakeSenior Data Analyst
ShopFully2 days agoItalySeniorInsights Sector Lead, Emerging Verticals
YipitData2 days agoUnited StatesLeadInsights Associate - Retail
YipitData2 days agoUnited StatesJuniorStaff, Fraud Countermeasures
Wealthsimple2 days agoCanadaStaffAccessibilityRuby on RailsSQLSenior Data Engineer
Nebius2 days agoIsraelSeniorSenior Data Engineer(Remote)
Arista Networks3 days agoLocation not statedSeniorC#ExcelJavaBusiness Intelligence and Business Systems Analyst (Remote)
Eurofins3 days agoLocation not statedExcelPower BISalesforce
Data roles run the pipeline from raw events to decisions: ingestion and warehousing, modelling and transformation, dashboards, experiment analysis, and the definitions everyone else quotes in meetings.
Anyone with enough customers to argue about metrics. Data engineering skews toward larger companies and infrastructure vendors; analytics and analytics engineering are common at mid-size product companies.
Check whether the role is building pipelines or answering questions — both are called "data" and they are different jobs. Ask who owns metric definitions, and whether the warehouse already exists or you are the one standing it up.
