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Data Engineering Services
VARTEQ data engineering services include data engineering consulting, business intelligence services, and data analytics services.
Related work
AI coding tools we use
What we build
What We Deliver.
- 01
Data Engineering Consulting
Mapping your data sources, what is missing, and what a reliable pipeline needs before anything is built.
See it in a project: Sales automation system - 02
Data Pipelines
Collection, labeling, training, and evaluation pipelines, with logs and cost records for every run.
See it in a project: Internal developer platform - 03
Business Intelligence
Live reports fed into your BI system from a shared data layer, so teams act on current numbers.
See it in a project: Computer vision API - 04
Data Analytics
Historical and live data combined so people can see trends, such as prices across several marketplaces.
See it in a project: Pricing data platform
Results from these projects
What the work changed.
AI assists
Drafting, testing, and reviewing code
Engineers decide
Architecture, security, and every merge
You get
Releases our engineers are accountable for
AI for business
Our Engineers Use AI and Take Responsibility for the Results
We use AI tools to help write, test, and review code, while our engineers make the decisions and remain accountable for your project's architecture, security, and every release.
Our work
Related Case Studies.
Data & AI
60%+better
Dataset task efficiency
A Shared Platform for Data Preparation and Model Training
Labeling requests, data collection, and model experiments were spread across tools with little consistency in how work was assigned or tracked. VARTEQ brought these activities into a data platform with a task marketplace, automated pipelines, and human review. Hypothesis validation costs fell by over 40%, while efficiency on dataset tasks improved by more than 60%.
Read case studySports Collectibles
30%higher
Pricing accuracy
Live Pricing Data for Professional Sports Card Traders
A US sports card trading team needed to spot undervalued cards and respond before listings changed. Checking prices manually across eBay and Facebook Marketplace could not keep pace with the market. VARTEQ built a pricing system that collects live listings, analyzes historical trends, and puts current evaluations in the traders’ existing tools.
Read case studyManufacturing
60%less
Lead engagement time
Turning Permit Records into Timely Sales Outreach
A US kitchen manufacturer used permit activity to find sales opportunities, but manual searches and scattered contact records delayed outreach. VARTEQ built a system that monitors permits, sends records to HubSpot, and triggers SMS, email, and phone follow-up. Lead engagement time fell by 60%, and the number of qualified leads grew by 25%.
Read case studyRetail & Consumer Goods
97.2%
Detection accuracy
Measuring Product Visibility in Advertising and Retail Displays
A US consumer goods company needed to measure how prominently its products appeared in video advertising and on store shelves. VARTEQ built a Product Recognition API using convolutional neural networks (CNNs) to detect placements automatically in real time. The resulting data helped the company assess marketing activity, allocate ad spending, and plan product positioning.
Read case study
Ways to work together
Data Engineering, at the level of involvement you choose.
Hand over a few seats, a whole team, or the entire project. The bar shows how much of the work we take on.
- VARTEQ takes on 1 of 3 parts of the work
Staff augmentation
Our engineers join your in-house team and work inside your process.
- You lead
- Roadmap, process, and day-to-day management
- We take on
- Engineers with the skills your team is missing
- VARTEQ takes on 2 of 3 parts of the work
Dedicated team
A stable VARTEQ team that works on your roadmap long term and grows or shrinks as plans change.
- You lead
- Product priorities and the roadmap
- We take on
- Running the team and its delivery
- VARTEQ takes on 3 of 3 parts of the work
End-to-end project
We take the project from scope to release and support, with milestones agreed up front.
- You lead
- Goals, scope, and sign-off at each milestone
- We take on
- Architecture, build, testing, release, and support
Why VARTEQ
Built for the Long Run.
Companies keep building with VARTEQ year after year. Our longest client relationship has lasted more than a decade.
- Clients served
- 200+
- Building custom software
- 12 years

- Certified information security management.
FAQ
Data Engineering FAQ.
Short answers to what clients usually ask before a first call.
Have a question that isn't here?
Ask us directly. A partner will reply to set up a first call.
What kind of data work do you do?
Data collection from websites and public sources, labeling and preparation for machine learning, training and evaluation pipelines, historical databases for pricing and trends, and live reporting built on a shared data layer.
Can you work with our existing systems?
Yes. Much of our work is modernizing legacy platforms and integrating new software with the systems a business already runs, without stopping day-to-day operations.
What engagement models do you offer?
End-to-end projects, dedicated development teams, and staff augmentation, where our engineers join your in-house team and work inside your process.
Who owns the code and intellectual property?
You do. The code, documentation, and intellectual property we create for you are transferred to you under the contract.
How do you handle security and compliance?
VARTEQ is ISO/IEC 27001 certified, and our delivery follows HIPAA requirements on healthcare projects. Access control, code review, and dependency checks are part of every release.
Can we meet the engineers before signing?
Yes. Before any contract, you meet the engineers who would work on your project and can talk with them about your system and approach.
Services
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