Data & Analytics Startups Hiring Now
The top data & analytics startups hiring right now on Migrate Mate include Databricks, Sigma Computing, and Acceldata, spanning cloud data platforms, business intelligence tools, open-source integration software, data observability, and customer data infrastructure. Migrate Mate tracks 460 live open roles across 4 data & analytics startups as of October 15, 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 · 460 live roles from Migrate Mate, updated daily
- 01
Databricks
Data PlatformEngineeringSalesDatabricks has 394 open roles on Migrate Mate as of October 15, 2026, the most of any data & analytics startup we track, concentrated in business operations (10) and account management (7). 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
- Business Operations10
- Account Management7
- Business Development5
- Automation QA3
- Business Strategy3
+22 roles across other teams
Open roles394 openSee all 394 roles at DatabricksView JobManager, Sales Development - Public SectorMaryland · HybridView JobEnterprise Account Executive, Federal HealthWashington, DC · On-siteView JobTechnical Business Development Manager, Startup & VC EcosystemSan Francisco, CA · On-siteView JobStrategic Core Account Executive - CPGGeorgia · On-siteView JobEnterprise Account Executive, HealthcareMissouri · On-site - 02
Sigma Computing
Business IntelligenceAnalyticsProductSigma Computing has 41 open roles on Migrate Mate as of October 15, 2026, concentrated in cybersecurity (5) and software engineering (5). 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
- Cybersecurity5
- Software Engineering5
- Backend Engineering4
- Business Development3
- Business Strategy3
+21 roles across other teams
Open roles41 openSee all 41 roles at Sigma ComputingView JobTechnical Support Engineering ManagerSan Francisco, CA · On-siteView JobRenewals ManagerSan Francisco, CA · On-siteView JobManager, Commercial Solution EngineeringSan Francisco, CA · On-siteView JobSr. Product Marketing Manager, Sigma AppsSan Francisco, CA · On-siteView JobDirector of Product Marketing, AISan Francisco, CA · On-site - 03
Acceldata
Data ObservabilityEnterpriseEngineeringAcceldata has 13 open roles on Migrate Mate as of October 15, 2026, concentrated in sales (10) and customer success (2). 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
- Sales10
- Customer Success2
- Technical Product & Program Management1
Open roles13 openSee all 13 roles at AcceldataView JobEnterprise Account ExecutiveNew York City Metropolitan Area · On-siteView JobEnterprise Account ExecutiveRemote · RemoteView JobSales EngineerUnited States · On-siteView JobVP of Enterprise SalesCampbell, CA · On-siteView JobVP of SalesUnited States · On-site - 04
Airbyte
Data IntegrationEngineeringOpen SourceAirbyte has 12 open roles on Migrate Mate as of October 15, 2026, concentrated in backend engineering (3) and engineering (Non-Software) (2). 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
- Backend Engineering3
- Engineering (Non-Software)2
- Accounting2
- Business Operations2
- Software Engineering1
+2 roles across other teams
Open roles12 openSee all 12 roles at AirbyteView JobSenior Technical Account ManagerNew York, NY · RemoteView JobSenior Solutions ArchitectNew York, NY · RemoteView JobAccounting ManagerSan Francisco, CA · HybridView JobAccounting ManagerSan Francisco, CA · HybridView JobSenior Site Reliability Engineer - Hiring SprintSan Francisco, CA · Hybrid - 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.
Ready to find your next data & analytics startup role?
Browse every live opening from these companies and more, and apply in just a few clicks.
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 394 open roles on Migrate Mate as of October 15, 2026, followed by Sigma Computing (41) and Acceldata (13). Migrate Mate tracks 460 live roles across 4 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 business operations, sales, and business development. Across the 4 data & analytics startups Migrate Mate tracks, business operations is the largest function at 12 of 460 open roles as of October 15, 2026, followed by sales (10) and business development (8).
Do data & analytics startups hire remotely?
It depends on the company and the function. Of the roles Migrate Mate tracks across these 4 data & analytics startups, 16% are remote or hybrid as of October 15, 2026. Remote availability varies by team and role, so each Migrate Mate listing shows its work location before you apply.