Best Data & Analytics Startups Hiring Now
The top data & analytics startups hiring right now on Migrate Mate include Databricks, Sigma Computing, and Airbyte, spanning cloud data platforms, business intelligence tools, open-source integration software, data observability, and customer data infrastructure. Migrate Mate tracks 696 live open roles across 5 data & analytics startups as of July 16, 2026, updated daily. Data infrastructure is one of the fastest-growing areas in enterprise software, and the companies building it are actively adding engineering, product, and go-to-market talent across experience levels.
The best Data & Analytics Startups hiring on Migrate Mate right now
Curated by our editorial team · 696 live roles from Migrate Mate, updated daily
- 01
Databricks
Data PlatformEngineeringSalesDatabricks has 583 open roles on Migrate Mate as of July 16, 2026, the most of any data & analytics startup we track, concentrated in account management (4) and business strategy (4). Databricks builds a unified cloud-based platform for data engineering, machine learning, and analytics, used by thousands of organizations to process and activate large-scale data. The company is one of the most active hirers in enterprise data infrastructure, with open roles spanning engineering, sales, and professional services.
Roles by team
- Account Management4
- Business Strategy4
- Business Operations4
- Business Analysis3
- Business Development3
+26 roles across other teams
Open roles583 openSee all 583 roles at DatabricksApplyDelivery Solutions Architect - Startups & Emerging EnterpriseCalifornia · On-siteApplyFrontier AI Lab Account ExecutiveSan Francisco, CA · On-siteApplySr. Manager, Compensation Analytics & IntelligenceSan Francisco, CA · RemoteApplySr. Compensation Manager GTMSeattle, WA · RemoteApplyDirector, Field Engineering - Financial ServicesGeorgia · On-site - 02
Sigma Computing
Business IntelligenceAnalyticsProductSigma Computing has 48 open roles on Migrate Mate as of July 16, 2026, concentrated in software engineering (6) and account management (4). Sigma Computing makes cloud-native business intelligence software that lets data teams and business users explore large datasets directly in a spreadsheet-style interface without writing SQL. The company has grown its customer base steadily among organizations looking to reduce dependency on data analysts for everyday reporting.
Roles by team
- Software Engineering6
- Account Management4
- Backend Engineering4
- Sales3
- Cybersecurity3
+28 roles across other teams
Open roles48 openSee all 48 roles at Sigma ComputingApplyDigital Customer Success ManagerNew York, NY · On-siteApplySr. Product Marketing Manager, Sigma AppsSan Francisco, CA · On-siteApplyDirector of Product Marketing, AISan Francisco, CA · On-siteApplyForward Deployed EngineerNew York, NY · On-siteApplyCommercial Solution EngineerSan Francisco, CA · On-site - 03
Airbyte
Data IntegrationEngineeringOpen SourceAirbyte has 25 open roles on Migrate Mate as of July 16, 2026, concentrated in business operations (6) and business strategy (3). Airbyte builds open-source data integration software that moves data from hundreds of sources into warehouses and data lakes, used widely by engineering and data teams. Its open-source model has produced a large community and a catalog of connectors that sets it apart from proprietary alternatives.
Roles by team
- Business Operations6
- Business Strategy3
- Communications3
- Accounting2
- Backend Engineering2
+9 roles across other teams
Open roles25 openSee all 25 roles at AirbyteApplySenior Solutions ArchitectSan Francisco, CA · HybridApplyAccounting ManagerSan Francisco, CA · HybridApplyAccounting ManagerSan Francisco, CA · HybridApplySenior Solutions ArchitectSan Francisco, CA · HybridApplySenior Software Engineer, Integrations (API Sources & Automation) - Hiring SprintSan Francisco, CA · Hybrid - 04
Acceldata
Data ObservabilityEnterpriseEngineeringAcceldata has 24 open roles on Migrate Mate as of July 16, 2026, concentrated in sales (15) and marketing (3). Acceldata provides data observability software that helps enterprise teams monitor data pipeline health, catch quality issues early, and understand how data moves across their systems. The company targets organizations running complex, multi-system data environments where pipeline failures carry significant downstream costs.
Roles by team
- Sales15
- Marketing3
- Technical Product & Program Management2
- Customer Success2
- Human Resources1
+1 roles across other teams
Open roles24 openSee all 24 roles at AcceldataApplyEnterprise Account ExecutiveNew York City Metropolitan Area · On-siteApplyHR GeneralistCampbell, CA · HybridApplyManager, Deal DeskUnited States · On-siteApplyStaff Product Marketing ManagerCampbell, CA · HybridApplyEnterprise Account ExecutiveRemote · Remote - 05
mParticle
Customer DataMarketing TechIntegrationsmParticle has 16 open roles on Migrate Mate as of July 16, 2026, concentrated in accounting (4) and business operations (2). mParticle operates a customer data platform that helps businesses collect, unify, and route customer data across marketing, analytics, and product tools from a single integration layer. The platform is used by consumer brands that need real-time data consistency across a large and changing technology stack.
Roles by team
- Accounting4
- Business Operations2
- Account Management1
- Creative & Design1
- Data Analytics1
+6 roles across other teams
Open roles16 openSee all 16 roles at mParticleApplyAI Systems SpecialistNew York, NY · On-siteApplySenior Product Manager - Customer Data PlatformNew York, NY · On-siteApplySenior UX Product DesignerNew York, NY · On-siteApplyTreasury ManagerNew York, NY · On-siteApplyGRC Automation & Assurance LeadNew York, NY · On-site - Editor’s note
What to look for in a data & analytics startup
Data and analytics startups vary significantly in maturity, from early-stage teams still finding product-market fit to late-stage companies with enterprise contracts and structured career ladders. Before applying, check whether the company's core product is the data infrastructure itself or whether analytics is a feature bolted onto a broader platform, the distinction shapes what your day-to-day work looks like and how central your function is to the business. Stage and funding round are reliable signals for stability, growth pace, and how much of your compensation will sit in equity versus cash.
Product vs. Feature
Determine whether data and analytics is the company's core product or a secondary capability. Teams at dedicated data infrastructure companies typically move faster on technical depth and have more resources allocated to your function.
Stage and Funding
Series A and B companies often offer larger equity stakes but leaner processes and less role definition. Series C and beyond usually means more structure, clearer career paths, and base salaries closer to established tech employers.
Customer Profile
Look at who the company sells to. Enterprise-focused startups tend to have longer sales cycles and more formal processes, while developer- or self-serve-led companies move faster and often give individual contributors more direct product influence.
How data & analytics startups pay and equity works
Compensation at data and analytics startups typically combines a base salary with an equity grant, and the balance between the two shifts depending on how far along the company is. At later-stage, well-funded companies, base salaries are generally in line with what large tech employers pay, with equity on top as an additional upside. At earlier-stage companies, the base may be somewhat below market while the equity grant is larger, reflecting the higher risk and higher potential return if the company grows. The day-to-day trade-off in this space is usually one of scope versus structure. Roles at smaller data startups tend to carry broader ownership, an engineer might build infrastructure, write documentation, and interface with customers in the same week, while larger or later-stage companies offer more specialization and clearer progression tracks. For people early in their data careers, the breadth at a startup can accelerate skill development quickly; for those seeking defined mentorship or role boundaries, a more mature company is likely the better fit.
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Browse Data & Analytics Startups jobsData & Analytics Startups: Frequently Asked Questions
Which data & analytics startups are hiring the most right now?
Databricks is hiring the most, with 583 open roles on Migrate Mate as of July 16, 2026, followed by Sigma Computing (48) and Airbyte (25). Migrate Mate tracks 696 live roles across 5 data & analytics startups in total, updated daily, so the order shifts as companies open and close positions.
Do data & analytics startups pay well compared to larger tech companies?
Generally, yes. Growth-stage data and analytics startups are usually competitive with large tech employers on base salary, with a meaningful portion of total compensation sitting in equity rather than cash. The trade-off shifts by stage: later-stage companies offer base salaries closest to market rate with equity as a bonus, while earlier-stage startups typically offer lower base pay in exchange for larger option grants and the upside tied to company growth.
What kinds of roles do data & analytics startups typically hire for?
Data & analytics startups hire most heavily in sales, business operations, and account management. Across the 5 data & analytics startups Migrate Mate tracks, sales is the largest function at 18 of 696 open roles as of July 16, 2026, followed by business operations (12) and account management (9).
Do data & analytics startups hire remotely?
It depends on the company and the function. Of the roles Migrate Mate tracks across these 5 data & analytics startups, 21% are remote or hybrid as of July 16, 2026. Remote availability varies by team and role, so each Migrate Mate listing shows its work location before you apply.