Data Engineer Jobs at US Startups and Mid-Size Companies
US data engineer postings from the last 30 days at employers with up to 1,000 employees, staffing agencies and aggregators removed, with title, employer, location, seniority, salary where stated, applicants and recruiter. The employer hiring signal adds each company's open postings and its last 7, 30 and 90 days. For job boards, recruiting and tracking which startups build data teams.
Input
Output fields
Sign up on Apify or log in
The LinkedIn Jobs Database API — Advanced Search + Decision Makers Actor is ready to run with the inputs already set for "Data Engineer Jobs at US Startups and Mid-Size Companies". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Data Engineer Jobs at US Startups and Mid-Size Companies" task
The LinkedIn Jobs Database API — Advanced Search + Decision Makers Actor will start running based on the input automatically. You can also change all the input fields, like title search, location search, and more, to match your specific use case.
Receive the "Data Engineer Jobs at US Startups and Mid-Size Companies" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, row type, input, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Data Engineer Jobs at US Startups and Mid-Size Companies" task via API.
Integrate "Data Engineer Jobs at US Startups and Mid-Size Companies" into your workflow
Connect "Data Engineer Jobs at US Startups and Mid-Size Companies" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay
The data engineer jobs task returns US postings from the last 30 days at employers with up to 1,000 staff: title, employer, location, posting date, seniority, salary where stated, applicants, recruiter and the job link.
Agencies and aggregators repost the same role many times. Remove agencies in the data engineer jobs task drops them by industry and by the employer's own card, so every row is a direct employer.
With Employer hiring on, each row of the data engineer jobs task carries the employer's open postings and postings in the last 7, 30 and 90 days, telling a company scaling a team from a one-off hire.
Schedule the data engineer jobs task daily with Time range 24h, or set Posted after to the date of the last run. Every row says what date the data runs to.