Extracto
Get started
Jobs dataset

Companies Hiring Dataset

Define a company-level dataset from published job postings. Scope roles, locations, posting dates and source evidence, with a saved U.S. data-engineering sample.

Markets on requestSaved sample available11 proposed fields
Request this dataset View saved example
Coverage, pricing and delivery confirmed individually. Requests open your email app.

Explore a saved example

Collected results

United States · data-engineering job advertisementsSaved sample · 24 rows
Collected Oct 16, 2026: Companies Hiring Dataset
Companycompany_nameObserved postingsobserved_posting_countJob titlesjob_titlesLocationslocationsLatest posted datelatest_posted_dateEmployment typesemployment_typesSeniorityseniority_levelsCompany URLcompany_urlEvidence job URLsjob_urlsSourcesourceCollected atcollected_at
Amazon2Data Engineer I, Business Data Technologies, Data Engineer II, Amazon LeoSeattle, WA, Arlington, VA2026-10-06Full-timeNot Applicable, Mid-Senior levelhttps://www.linkedin.com/company/amazonhttps://www.linkedin.com/jobs/view/data-engineer-i-business-data-technologies-at-amazon-4467405622, https://www.linkedin.com/jobs/view/data-engineer-ii-amazon-leo-at-amazon-4463137853LinkedIn2026-10-16T11:51:46.777Z
Amazon Web Services (AWS)2Data Engineer, Decision Intelligence Technology, Data Engineer II, AWS PartnershipsBellevue, WA, Austin, TX2026-10-15Full-timeNot Applicable, Mid-Senior levelhttps://www.linkedin.com/company/amazon-web-serviceshttps://www.linkedin.com/jobs/view/data-engineer-decision-intelligence-technology-at-amazon-web-services-aws-4471101120, https://www.linkedin.com/jobs/view/data-engineer-ii-aws-partnerships-at-amazon-web-services-aws-4473556977LinkedIn2026-10-16T11:51:46.777Z
Deloitte2Data Engineer IIIGreater Indianapolis, Louisville, KY2026-10-07Full-timeNot Applicablehttps://www.linkedin.com/company/deloittehttps://www.linkedin.com/jobs/view/data-engineer-iii-at-deloitte-4475178472, https://www.linkedin.com/jobs/view/data-engineer-iii-at-deloitte-4475176553LinkedIn2026-10-16T11:51:46.777Z
DLA Piper2Data EngineerPhoenix, AZ, Short Hills, NJ2026-09-29Full-timeNot Applicablehttps://www.linkedin.com/company/dla-piperhttps://www.linkedin.com/jobs/view/data-engineer-at-dla-piper-4464644322, https://www.linkedin.com/jobs/view/data-engineer-at-dla-piper-4464643373LinkedIn2026-10-16T11:51:46.777Z
Faegre Drinker2Senior Data EngineerMinneapolis, MN, Washington, DC2026-09-29Full-timeNot Applicablehttps://www.linkedin.com/company/faegredrinkerhttps://www.linkedin.com/jobs/view/senior-data-engineer-at-faegre-drinker-4473512745, https://www.linkedin.com/jobs/view/senior-data-engineer-at-faegre-drinker-4473527015LinkedIn2026-10-16T11:51:46.777Z
IBM2Data Engineer-Data Platforms-Google - 2, Data Engineer-Data Platforms-Google - 3New York, United States2026-10-06Full-timeMid-Senior levelhttps://www.linkedin.com/company/ibmhttps://www.linkedin.com/jobs/view/data-engineer-data-platforms-google-2-at-ibm-4474402402, https://www.linkedin.com/jobs/view/data-engineer-data-platforms-google-3-at-ibm-4473675833LinkedIn2026-10-16T11:51:46.777Z
Accenture Federal Services1Sr. Data EngineerWashington, DC2026-10-02Full-timeMid-Senior levelhttps://www.linkedin.com/company/accenturefederalserviceshttps://www.linkedin.com/jobs/view/sr-data-engineer-at-accenture-federal-services-4370823981LinkedIn2026-10-16T11:51:46.777Z
American Bureau of Shipping (ABS)1Engineer, DataWashington, DC2026-10-13Full-timeNot Applicablehttps://www.linkedin.com/company/american-bureau-of-shippinghttps://www.linkedin.com/jobs/view/engineer-data-at-american-bureau-of-shipping-abs-4468168553LinkedIn2026-10-16T11:51:46.777Z
Atlassian1Senior Data Engineer, DXSalt Lake City, UT2026-09-26Full-timeMid-Senior levelhttps://www.linkedin.com/company/atlassianhttps://www.linkedin.com/jobs/view/senior-data-engineer-dx-at-atlassian-4454862094LinkedIn2026-10-16T11:51:46.777Z
Avalore.ai1Data EngineerArlington, VA2026-08-31Full-timeNot Applicablehttps://www.linkedin.com/company/avalore-aihttps://www.linkedin.com/jobs/view/data-engineer-at-avalore-ai-4461097681LinkedIn2026-10-16T11:51:46.777Z
Bayview Asset Management, LLC1Data EngineerNew York, NY2026-05-15Full-timeNot Applicablehttps://www.linkedin.com/company/bayview-asset-managementhttps://www.linkedin.com/jobs/view/data-engineer-at-bayview-asset-management-llc-4411571785LinkedIn2026-10-16T11:51:46.777Z
Children’s Hospital Association1Data Engineer - Snowflake & AzureLenexa, KS2026-09-29Full-timeNot Applicablehttps://www.linkedin.com/company/childrenshospitalshttps://www.linkedin.com/jobs/view/data-engineer-snowflake-azure-at-children%E2%80%99s-hospital-association-4473056227LinkedIn2026-10-16T11:51:46.777Z
Cox Automotive Inc.1Data Engineer ICarmel, IN2026-10-13Full-timeNot Applicablehttps://www.linkedin.com/company/cox-automotive-inc-https://www.linkedin.com/jobs/view/data-engineer-i-at-cox-automotive-inc-4478758656LinkedIn2026-10-16T11:51:46.777Z
FWI (FedWriters, Inc.)1Data EngineerArlington, VA2026-09-28Full-timeNot Applicablehttps://www.linkedin.com/company/fedwritershttps://www.linkedin.com/jobs/view/data-engineer-at-fwi-fedwriters-inc-4472762688LinkedIn2026-10-16T11:51:46.777Z
Honeywell Aerospace1Data Engineer IIPhoenix, AZ2026-10-13Full-timeNot Applicablehttps://www.linkedin.com/company/honeywell-aerospacehttps://www.linkedin.com/jobs/view/data-engineer-ii-at-honeywell-aerospace-4470209501LinkedIn2026-10-16T11:51:46.777Z
Jobot1Senior Healthcare Data EngineerIndianapolis, IN2026-10-04Full-timeNot Applicablehttps://www.linkedin.com/company/jobothttps://www.linkedin.com/jobs/view/senior-healthcare-data-engineer-at-jobot-4473473586LinkedIn2026-10-16T11:51:46.777Z
Moda Health1Data Engineer I, IIPortland, OR2026-09-22Full-timeNot Applicablehttps://www.linkedin.com/company/moda-healthhttps://www.linkedin.com/jobs/view/data-engineer-i-ii-at-moda-health-4471157222LinkedIn2026-10-16T11:51:46.777Z
New York Life1Associate - Data EngineerLebanon, NJ2026-10-13Full-timeNot Applicablehttps://www.linkedin.com/company/newyorklifehttps://www.linkedin.com/jobs/view/associate-data-engineer-at-new-york-life-4479219684LinkedIn2026-10-16T11:51:46.777Z
Seneca Holdings1Senior Data EngineerWashington, DC2026-10-05Full-timeNot Applicablehttps://www.linkedin.com/company/senecaholdingshttps://www.linkedin.com/jobs/view/senior-data-engineer-at-seneca-holdings-4473656049LinkedIn2026-10-16T11:51:46.777Z
Servco Pacific Inc.1Data Engineer IHonolulu, HI2026-09-17Full-timeNot Applicablehttps://www.linkedin.com/company/servco-pacific-inchttps://www.linkedin.com/jobs/view/data-engineer-i-at-servco-pacific-inc-4468615542LinkedIn2026-10-16T11:51:46.777Z
TeamWorx Security1Senior Data Engineer, DatabricksColumbia, MD2026-09-20Full-timeMid-Senior levelhttps://www.linkedin.com/company/teamworx-securityhttps://www.linkedin.com/jobs/view/senior-data-engineer-databricks-at-teamworx-security-4469809682LinkedIn2026-10-16T11:51:46.777Z
Travelers1Data Engineer I - Cloud Data Modernization - AWS, Databricks, DBT, SQL, AIHartford, CT2026-10-07Full-timeNot Applicablehttps://www.linkedin.com/company/travelershttps://www.linkedin.com/jobs/view/data-engineer-i-cloud-data-modernization-aws-databricks-dbt-sql-ai-at-travelers-4475498462LinkedIn2026-10-16T11:51:46.777Z
VAS1Data EngineerMadison, WI2026-09-24Full-timeNot Applicablehttps://www.linkedin.com/company/valleyagushttps://www.linkedin.com/jobs/view/data-engineer-at-vas-4470007458LinkedIn2026-10-16T11:51:46.777Z
Zefr1Data EngineerMarina del Rey, CA2026-10-07Full-timeNot Applicablehttps://www.linkedin.com/company/zefrhttps://www.linkedin.com/jobs/view/data-engineer-at-zefr-4461914269LinkedIn2026-10-16T11:51:46.777Z
Showing 24 of 24 resultsScroll to explore all 11 fields →
Real results collected Oct 16, 2026 (UTC). This is a saved sample; source details can change. Missing values were not returned by the source. Hover over a shortened value or switch to JSON to read it in full.

24 employer groups from 30 saved U.S. data-engineering job observations. Posting counts apply only to this sample. Company grouping uses returned company URLs or, when absent, published employer names; ambiguous identities need review. Saved postings are not a current vacancy check.

Built around your research

Understand the hiring signal behind each company

Turn a set of job advertisements into a company-level view of hiring activity. Each employer can have several postings, locations and job titles, so the output needs explicit grouping and freshness rules. A published vacancy is an observed hiring signal rather than a confirmed headcount increase or an unfilled role. Use source links and posting dates to review the underlying evidence before treating an employer as a qualified account.

01

Find employers recruiting relevant roles

Request companies with postings for a defined role family, skill or seniority. Keep the matching titles and source links so recruiters can assess whether the employer fits their specialization.

02

Build timely B2B account research

Use observed hiring activity as one input to account selection. A new vacancy can suggest a business need, but it does not establish purchasing intent, a department budget or approval to buy.

03

Track a specific labor-market segment

Compare the companies represented in your agreed source set over time. Deduplicate syndicated advertisements and distinguish fresh observations from postings carried forward between snapshots.

Agree on company grouping and role matching

Define whether a staffing agency, its client, a subsidiary and a parent business should appear as separate employers. A company name alone can be ambiguous. Prefer a supported company identifier or company page URL, and retain unresolved names for review. Explain whether role matching uses the title alone, source skill fields or a separately agreed description analysis.

Make freshness and counts interpretable

Specify the observation window and whether older source-posted dates qualify. Deduplicated posting counts represent advertisements observed in the chosen sources, not the total number of openings at a company. Rechecking availability requires additional collection; a saved sample is not continuously monitored. Relative dates, remote locations and reposted jobs should have documented handling rules.

Explore related collection tools

These tools cover the actions described below. Dataset discovery, qualification, historical coverage and recurring delivery are confirmed separately.

Define your structure

Data fields to discuss

Download column template

Use this field guide to plan your request. Coverage and completeness will be confirmed individually. The CSV template contains column headers for planning.

Proposed fields for Companies Hiring Dataset
FieldColumn nameDescription
Company namecompany_nameEmployer name published with the source posting.
Company pagecompany_urlSupported company profile URL used for grouping, when returned.
Observed postingsobserved_posting_countDeduplicated advertisements in this collection; not a company-wide vacancy count.
Matching job titlesjob_titlesTitles of the observed postings that meet the requested role scope.
Posting locationslocationsSource-reported job locations, including remote labels when published.
Latest posted datelatest_posted_dateMost recent explicit source posting date in the grouped observations.
Employment typesemployment_typesPublished full-time, contract or other source labels.
Seniority levelsseniority_levelsSource-reported experience levels, kept without guessing.
Evidence job URLsjob_urlsLinks to the advertisements supporting the company record.
SourcesourceJob platform used for the observations.
Collected atcollected_atTime the underlying posting sample was collected.
Start a conversation

From requirements to a clear scope

01

Share your requirements

Send your target sources, locations, essential fields, dates and expected volume. Mention the Companies Hiring Dataset so the team has context.

02

Confirm the details

Discuss availability, source coverage, sample requirements, pricing and delivery timing before deciding.

03

Agree on the output

Confirm the final fields, file format and delivery method for the agreed dataset.

Before you request

Frequently asked questions

Is this a ready-made download?

This page defines a dataset specification. Contact Extracto to confirm source coverage, available records, price and delivery timing for your requirements. A displayed sample is a saved example with its own location and collection date.

Does a listing mean the role is still open?

A saved posting observation does not guarantee current vacancy status. Specify a recheck window if active status is essential. A removed, reposted or syndicated advertisement needs consistent handling before it contributes to a current-hiring view.

Does the count show every vacancy at the company?

No. It counts deduplicated postings observed within the agreed sources, filters and collection period. Companies may recruit through other channels, and one advertisement may represent several hires or no longer be accepting applicants.

What is included in the example?

The saved example groups a collection of U.S. data-engineering advertisements by the employer information returned by the source. Its companies, roles and dates describe that limited collection rather than a complete national hiring database.

Keep exploring

Related datasets

View category →
Business

New Business Leads Dataset

United States

Plan a newly opened business list with explicit opening or registration evidence. Define dates, categories, locations and public business contact requirements.

Business nameQualifying eventEvent dateEvent evidence+9 fields
Confirm availabilityView dataset
Ecommerce

Shopify Stores Dataset

Markets on request

Plan a Shopify store list by niche, business location and public contact fields. Confirm store discovery and platform evidence before requesting a dataset.

Store nameStore domainStore URLReported country+10 fields
Confirm availabilityView dataset
Procurement

Government Tenders Dataset

Jurisdictions on request

Define a public procurement dataset by country, buyer, sector and deadline. Scope notices, amendments and award records with traceable official sources.

Notice IDNotice typeNotice titleContracting authority+10 fields
Confirm availabilityView dataset
Your market. Your requirements.

Discuss your dataset requirements

Have a narrower location, a specific field list or a target volume in mind? Send your requirements to the Extracto team.

Email your requirementsContact details →